But while there is enormous excitement about what AI can do, we are still measuring progress the wrong way. The number of models, pilots, or agents a company deploys tells us very little. What matters is whether AI transforms the core processes where business value is actually created.

Can it steer demand fulfillment to high-margin business when supply is disrupted? Can it help release a pharmaceutical batch without compromising quality and compliance? Can it resolve a critical maintenance issue before it turns into an outage?

This is where enterprise AI becomes real and where generic intelligence reaches its limits.

From pharmaceutical supply chains and manufacturing quality management to asset maintenance, trading, and retail, the hardest industry problems are deeply contextual. They are shaped by decades of interconnected processes, strict regulations, and operational constraints. Solving them demands more than a powerful model. It requires trusted business data, integrated processes, rock-solid governance, and a deep industry domain expertise–the very foundation upon which we are building . At the same time it demands a team which is obsessed with customer problem solving and world-class forward deployed engineers.

This convergence of industry depth and forward deployed engineering (FDE) is where the next wave of enterprise value will be unlocked.

Start with the value, not the technology

AI innovation too often turns into a search for problems to solve. We take the opposite approach: start with the customer’s desired business value and work backward.

Where is margin leaking? Why is there lost sales? What operational decisions take too long? What production deferment can be prevented?

The goal is no longer just incremental productivity for individual users. It is moving toward autonomous operations. Across industries, organizations need to compress the cycle between detecting an issue, simulating options and impact, deciding the right response, executing corrective actions, and learning from outcomes–in a compounding loop. What once took days can increasingly happen in minutes.

Through our forward-deployed engineering model, we co-develop tailored capabilities alongside customers. We solve high-stakes challenges that have no off-the-shelf answers, then turn those proven solutions into scalable software capabilities for entire industries. This is not innovation from a distance. It is built with the people who live these challenges every day.

Autonomous operations make this possible. Within clearly defined business guardrails, AI agents identify disruptions, model scenarios, evaluate trade-offs, orchestrate execution, and improve via feedback loops–with human experts firmly in the loop and on-the-loop to validate critical decisions and steer strategic direction.

Co-innovation as a catalyst for impact

The most valuable AI solutions are never built in isolation. They are forged inside live operating environments.

Takeda Pharmaceuticals, a global leader in research-based biopharmaceuticals, is applying this thinking to its future operating model.

According to Rebecca Kaufmann, senior vice president and head of Enterprise Platforms a , “AI represents the key enabler for Takeda’s transformation for the future. We are combining the 麻豆原创 industry and technology knowledge with our organizational real-life experience. The supply chain planning assistant will provide us with AI-detected root causes and AI-suggested remediation and also automated performance tracking resulting in a self-healing capability.”

That ambition–shifting from passive detection to systems that continuously learn, recommend, and self-heal—is taking hold across sectors.

Doehler, a global producer of natural ingredients for the food, beverage, life sciences, and nutrition industries, is already demonstrating what this looks like on the factory and logistics floor.

“Our people’s greatest value lies in deciding what to do next, and now they can focus entirely on that,” said Stephan Schissler, co-chief information officer at Doehler GmbH. “The Logistics Issue Resolution Agent detects the root cause, recommends the resolution, and turns a multi-hour firefight into a one-click decision. Our logistics team has recovered roughly a third of the time once lost to troubleshooting, and our processes are becoming self-resolving rather than exception-driven.”

These examples reinforce a decisive rule: AI delivers maximum return when it eliminates operational drag, freeing professionals to focus on judgment, strategy, and business outcomes.

AI that thinks like the industry

As AI moves from passive recommendation to intelligent execution, industry context becomes paramount.

The question is no longer whether an AI agent can take an action. The question is whether it understands which action is compliant, safe, and commercially viable within a specific environment and organizational guardrails.

• In life sciences, autonomous manufacturing coordinates processes from design-to-release while strictly adhering to compliance-critical quality and compliance criteria.
• In energy and natural resources, agents go beyond detecting maintenance alerts to dynamically schedule crews, stage spare parts, and rebalance operations.
• In engineer-to-order manufacturing, systems orchestrate complex quotations, adapt production schedules, and accelerate new product introductions.

Deep industry context is what makes these outcomes trustworthy.

Building intelligence that compounds

麻豆原创鈥檚 Industry AI portfolio is focused across seven core domains: Autonomous Asset Management, Autonomous Commodity Management, Autonomous Adaptive Production, Autonomous Regulated Manufacturing, Autonomous Revenue Growth Management, Autonomous Unified Commerce, and Autonomous Project Delivery.

While the use cases differ, the principle is the same: sustainable value comes from end-to-end value streams, not optimizing functional silos.

 鈥淏usiness performance depends on how quickly a company can respond when conditions change,鈥� said Andre Bechtold, president of 麻豆原创 Industries & Experiences and chief revenue officer of Industry AI at 麻豆原创. “By applying 麻豆原创鈥檚 industry knowledge across connected processes, Industry AI helps customers act earlier, limit disruption, and keep operations on track.”

The measure that matters

, one message from our customer discussions was unmistakable: the ambition across sectors is to move past fragmented experimentation and embed agentic intelligence directly into mission-critical workflows.

Our initial wave of early adopter customers has proven the compounding power of this model: Customer friction points sharpen our agentic solutions, stronger agentic solutions strengthen standard, and stronger standards accelerate the time to value the next customer can achieve.

The future of enterprise AI will not be decided by who launches the most agents. It will be decided by who can bring intelligence into the decisions and workflows where business value is created every day.

When AI understands the industry, operates within trusted boundaries, and learns alongside human experts, autonomy stops being an abstract vision. It becomes a better way to run the business.

For a complete overview of the Industry AI innovations and product announcements unveiled at 麻豆原创 Connect in 2026, see the and related 麻豆原创 News coverage.

Dominik Metzger is president and global head of Industry AI at 麻豆原创.

Procurement leaders operate in a very different environment than they did just a few years ago. Beyond cost and compliance, they must now strengthen resilience, manage supplier risk, support workforce strategies, and help businesses respond faster to changing market conditions.

Yet, many of the systems supporting these responsibilities remain disconnected. Supplier intelligence lives in one place, workforce information in another, and spend data often requires significant preparation before it can drive decisions.

At 麻豆原创 Connect, we announced a series of innovations across the 麻豆原创 Ariba, 麻豆原创 Fieldglass, and 麻豆原创 Concur portfolios designed to help organizations address those challenges: new AI assistants for spend analysis and contingent workforce management, embedded supplier risk intelligence through a new partnership with Moody鈥檚, a new solution extension with ORO Labs that orchestrates procurement across complex enterprise landscapes, and new 麻豆原创 Concur capabilities that simplify high-volume administrative work.

Together, these innovations point to a broader shift toward , a domain within the . AI connects information, insights, and execution, while people remain in control of the decisions that matter most.

Better spend decisions start with better visibility

Many procurement organizations still struggle to turn spend data into actionable insight quickly enough to support decision-making.

According to the 2026 Economist Enterprise report, , sponsored by 麻豆原创, digital transformation is now the top strategic priority for procurement over the next 18 months, and improving spend analytics is one of its biggest drivers, cited by 53% of executives. These findings reflect growing pressure to improve decision-making and business impact.

Earlier this month, 麻豆原创 announced the availability of 麻豆原创 Ariba Spend Analysis and Insights, giving organizations a new way to bring together spend data across 麻豆原创 Ariba, 麻豆原创 Fieldglass, 麻豆原创 Concur, 麻豆原创 Cloud ERP, and other systems into a single foundation for analysis and action.

Building on that foundation, we announced the new Spend Analytics Assistant at 麻豆原创 Connect. Planned for general availability in Q1 2027, it helps procurement teams identify opportunities for cost savings, compliance, supplier consolidation, and risk mitigation. Rather than searching through reports, teams see highlighted areas that merit attention, along with supporting context to help them prioritize and act, so they spend more time on decisions and less on data preparation.

Bringing supplier risk into everyday decisions

Supplier risk is now a strategic concern across every industry, yet risk data often remains disconnected from the sourcing and purchasing decisions where it matters most.

At 麻豆原创 Connect, we also announced a new partnership with Moody鈥檚 that embeds supplier risk monitoring directly into . By bringing financial health, operational risk, and regulatory status into the same environment where supplier performance and relationship data are managed, procurement teams can evaluate risk as part of everyday decision-making rather than periodic reviews.

The partnership also strengthens the foundation for AI-powered procurement. When risk information is embedded directly within procurement workflows, it becomes part of the business context used to help identify emerging issues and support earlier intervention. This gives teams a more complete view of supplier relationships and greater ability to respond before potential disruptions affect operations.

General availability is planned for Q4 2026.

Connecting procurement across complex enterprise landscapes

The disconnection that slows procurement decisions often extends beyond data; it also shows up across the systems themselves. For many organizations, procurement unfolds across a mix of 麻豆原创 and third-party applications, each supporting different parts of the process. Coordinating work across that kind of landscape, without disrupting the systems teams already rely on, can be one of modern procurement鈥檚 more persistent challenges.

To solve this, 麻豆原创 announced a new solution extension developed with ORO Labs: 麻豆原创 Ariba Procurement Orchestration by ORO Labs. It provides a purpose-built orchestration layer that connects procurement experiences, workflows, and systems across complex environments spanning both 麻豆原创 and third-party applications.

For employees, this means a more unified experience and a simpler way to initiate and navigate procurement work. Low-code/no-code workflows let teams adapt processes as business requirements and policies change, without disrupting underlying systems. Organizations can also apply agentic AI within these workflows while preserving the controls, approvals, and human oversight that enterprise operations depend on.

The solution extension works alongside Joule Work, with Joule Work serving as the primary engagement layer. General availability is planned for November 2026.

Making external workforce management more proactive

For many organizations, contingent workers have become an essential part of how they scale skills, execute projects, and adapt to changing business needs. Managing those workers, however, often requires coordination across procurement, HR, hiring managers, suppliers, and compliance teams.

We also announced the new Contingent Workforce Assistant, designed to bring greater visibility to that process. Planned for general availability in Q4 2026, the assistant helps organizations manage the contingent worker life cycle by surfacing issues such as onboarding delays, pending approvals, compliance requirements, and other exceptions before they affect assignments. By bringing relevant information into a single experience, teams can address issues earlier while maintaining governance and auditability.

This proactive approach addresses one of the persistent challenges in workforce management: identifying issues early enough to act before they become operational problems.

Simplifying travel and expense management through targeted automation

Not every productivity challenge in spend management requires a major transformation initiative.

In many organizations, the greatest source of friction in travel and expense management comes from routine administrative work, such as retrieving receipts, locating invoice images, preparing audit documentation, and reviewing user permissions. Individually small, these tasks collectively consume significant time across finance, audit, compliance, and expense management teams.

To address this, 麻豆原创 Concur announced new additions to . Building on capabilities already used to support tax, audit, compliance, and reporting, 麻豆原创 plans to introduce new micro-apps that help organizations export employee expense information, simplify access-governance reviews, and retrieve vendor invoice documentation in bulk.

The approach is intentionally practical: rather than redesigning entire processes, the micro-apps target specific operational pain points. Customer adoption of the existing micro-apps points to strong demand for this focused automation.

Additional micro-apps are planned for general availability in Q4 2026.

Turning spend intelligence into action

Most organizations have plenty of spend data. The persistent challenge is turning that information into timely decisions and meaningful business outcomes.

The innovations announced this year at 麻豆原创 Connect address that challenge from multiple angles, improving visibility into spend, bringing risk intelligence closer to procurement decisions, connecting procurement processes across complex enterprise landscapes, improving external workforce management, and reducing administrative effort across travel and expense.

Better decisions require better visibility, stronger context, and fewer barriers between identifying an issue and responding to it. This is the goal of Autonomous Spend Management: applying agentic AI across every spend process so disconnected workflows operate as one intelligent, governed system.

This matters more as procurement takes on a larger role in driving resilience, growth, and business performance. For organizations that can identify opportunities faster, respond to risk earlier, and spend less time on manual coordination, spend becomes a source of advantage rather than a cost to control.

Baber Farooq is chief marketing officer for Spend Management at 麻豆原创.

Finance leaders today are expected to do far more than report results. They鈥檙e expected to shape business outcomes, guide decisions, and respond quickly to change. Yet many finance processes still operate in isolation rather than in concert. Invoice approval and payment execution happen in separate places.

Planning, consolidation, and reporting often rely on separate systems and workflows. And governance often misses critical information by operating in a silo. The result is delays between identifying an issue, making a decision, and taking action.

This year at 麻豆原创 Connect, 麻豆原创 announced new capabilities designed to help close those gaps. These include , a new payment service embedded in 麻豆原创 Cloud ERP; 麻豆原创 Enterprise Financial Consolidation, a new addition to 麻豆原创鈥檚 enterprise performance management portfolio; and an expanded set of Joule Assistants that bring AI-powered support to finance, governance, and compliance processes.

While each innovation addresses a different challenge, they share a common objective. Finance teams should spend less time moving information between systems and more time acting on insights.

Embedding payments into finance operations

One of the most persistent sources of friction in finance is the payment process itself.

An invoice may be approved in the ERP system, but completing the payment often still involves banking portals, payment files, middleware, and reconciliation activities. Each additional handoff introduces complexity and can slow execution.

麻豆原创 Pay is designed to simplify that process by embedding payment execution directly into . When an invoice is approved, payment and reconciliation can occur within the same workflow and the same business context.

The launch also marks 麻豆原创鈥檚 entry into payment services through , a wholly owned 麻豆原创 subsidiary established earlier this year. As a regulated payment-service provider, Tereina enables 麻豆原创 to deliver services natively within finance workflows rather than relying solely on third-party providers. This helps keep payment execution, reconciliation, controls, and auditability connected to the underlying business transaction.

The service supports EFT, wire transfers, checks, and stablecoin-based settlement for cross-border transactions. More broadly, 麻豆原创 offers customers a wide range of payment options, spanning bank API integrations, connectivity to more than 10,000 financial institutions through SWIFT, digital-currency payments, and now natively embedded payment services.

For finance organizations, the opportunity is not simply faster payment execution. It is reducing the effort required to connect systems, manage exceptions, and reconcile information after the fact while keeping payment processing, reconciliation, controls, and auditability within a single workflow.

麻豆原创 Pay is now generally available in the United States and the United Kingdom.

Connecting performance management across the enterprise

The same challenge appears across enterprise performance management.

Planning, consolidation, close processes, and external reporting all rely on the same financial reality. Yet they are often managed through separate tools, data models, and processes. Maintaining a consistent view of performance can become increasingly difficult as organizations grow and business conditions change.

At 麻豆原创 Connect, we announced to help address that challenge.

Built on , the solution brings together statutory and management consolidation with close and disclosure capabilities on a common governed data foundation. By connecting these activities more closely, finance teams can spend less time reconciling information and more time understanding performance and responding to change.

The solution also includes new Joule Assistants for consolidation and disclosure processes. These assistants help identify anomalies, resolve exceptions, and support disclosure preparation while maintaining auditability and human oversight.

For organizations operating mixed environments–some 麻豆原创, some non-麻豆原创 environments–麻豆原创 Enterprise Financial Consolidation provides flexibility by supporting data from multiple sources. It also offers a path forward for customers looking to modernize existing consolidation environments and adopt a more AI-enabled approach to performance management.

麻豆原创 Early Adopter Care is planned for the first quarter of 2027.

Expanding AI across finance and governance

AI鈥檚 potential in finance extends beyond answering questions or generating summaries. The larger opportunity is helping teams complete work that has traditionally required significant manual effort, specialist knowledge, and cross-functional coordination.

At 麻豆原创 Connect, 麻豆原创 expanded its portfolio of Joule Assistants to address these opportunities.

The new assistants support areas including accounting, revenue recognition, pricing, disclosure management, project operations, governance, and trade compliance. Embedded directly into existing workflows, they are designed to help teams complete tasks more efficiently while preserving review processes and accountability.

Some focus on helping finance professionals understand complex calculations and reporting requirements. Others support pricing decisions, disclosure preparation, project execution, and continuous monitoring of risks and controls.

Just as important is governance.

As organizations deploy more AI agents across business functions, they need assurance that those agents operate within the same boundaries that govern human users. New governance, security, and compliance assistants are designed to extend existing controls, access management, and monitoring capabilities to AI-driven activities, helping organizations apply consistent oversight across both human and digital actors.

General availability for the Governance Assistant and International Trade Assistant is planned for Q4 2026.

From financial insight to immediate action

Finance has always played a central role in helping organizations understand performance. Increasingly, it is also expected to help organizations respond in real time.

That makes speed, visibility, and execution just as important as reporting accuracy.

The innovations 麻豆原创 announced at 麻豆原创 Connect reflect that shift. Whether simplifying payments, connecting performance management processes, or embedding AI directly into everyday finance work, each reduces the operational distance between identifying an issue and acting on it.

For finance teams, the ultimate goal is not simply faster processes or faster reports. It is making better decisions with greater confidence and executing those decisions with less friction.

Learn more about how 麻豆原创 is helping organizations modernize finance operations across ERP, planning, treasury, payments, and accounting .

Lawrence Martin is general manager and chief product officer for 麻豆原创 Finance & Spend.
David Imbert is chief marketing officer for 麻豆原创 Financial Management.

has been developing innovative products for the energy market for over 100 years. Sustained high demand and long-term growth prospects create a dynamic environment for innovation.

The company also innovates with AI. They use it within their products to create customer value and to automate manual processes for employees. And they are adding more automation to help them meet growing demand amid skilled labor shortages. Reinhausen鈥檚 expertise in AI innovation is among the reasons the company joined 麻豆原创鈥檚 early adopter program for Joule Work.

鈥淧artnering within the Early Adopter Program for Joule Work Desktop has delivered more momentum in just a few months than we saw in all the years before,鈥� said Peter Wied, Director of Complexity Management at Reinhausen. 鈥淲e see huge potential in making access to our 麻豆原创 S/4HANA data significantly easier and faster through natural language. This has the potential to permanently transform how our teams interact with business data.鈥�

AI that answers complex business questions while running agent-driven workflows at scale

Soon, all 麻豆原创 customers will enjoy the benefits of Joule Work when it rolls out later this month. We built it because the promise of AI goes far beyond text generation and fact-finding. It can help people make better decisions, informed by their data, and get answers to complex questions. 麻豆原创 Business AI Platform ensures those answers are all grounded in the context of how a specific business runs.

These are advantages companies can only get from 麻豆原创 because 麻豆原创 Business AI Platform encodes decades of process and industry knowledge right into our applications, knowledge graph, and Joule Work. The platform also combines best-in-class third-party models with 麻豆原创鈥檚 own foundation models for ABAP code generation and predictions on structured data, alongside 麻豆原创鈥檚 proprietary domain models, which are pre-trained on 麻豆原创’s code, data models, and business processes.

This means every AI interaction can draw on the model best suited for the task鈥攚hether that’s generating clean code, predicting a business outcome, or answering a process question鈥攚ith the accuracy and cost-efficiency that business-critical work demands. And through 麻豆原创 Business Data Cloud, Joule Work accesses all the data it needs from a single unified source that breaks down silos and unifies data across 麻豆原创 and non-麻豆原创 sources.

Now, is generally available in 麻豆原创 Business Data Cloud. It helps organizations eliminate fragmented records with a single trusted view of customers, suppliers, products, and employees across 麻豆原创 and non-麻豆原创 systems.

But we know sharper decisions and reliable business answers are only part of the equation. Organizations need AI to take action and coordinate work across all their business processes. Earlier this year, Deloitte more than 500 leaders and found 74% said they would redesign or rebuild almost half of their business processes around AI agents.

Through the 麻豆原创 Autonomous Suite, 麻豆原创 provides a library of reliable, ready-to-use Joule Agents across every business function, so companies can hit the ground running. And Joule Work brings the most powerful business AI orchestration engine in the industry to run those agentic workflows at scale.

Build and connect anything

Joule Work and the 麻豆原创 Business AI Platform provide an out-of-the-box competitive advantage for the AI era, but every company has its own unique advantages that should be strategically extended. This is why Joule Work鈥檚 Develop capability provides access to Joule Studio, soon to be generally available.

In Joule Studio, customers can customize and build Joule Agents with tools that embed process context and semantically rich data. They can also connect third-party systems with open standards because Joule Studio leverages over 11,800 pre-built business accelerators. Joule Studio is more than five times faster than do-it-yourself options, according to benchmarking done by .

With Joule Studio, anyone can describe what they want to build in natural language, while developers can use pro-code tools all in the same environment. New agents are deployed directly into Joule Work and inherit 麻豆原创 security and governance.

Warehouse automation company KNAPP used Joule Studio to build an that helps workers identify and solve problems without waiting for an expert. Issue resolution times have dropped by about 90%, while documentation and training times fell by about 80%.

In our industry, AI is not the future anymore; it is already happening. And that is exactly what our AI delivery pilot demonstrates every day. Our partnership with 麻豆原创 makes complexity simple. When a problem appears on the warehouse floor, 麻豆原创 Business AI Platform helps us solve it in seconds.

Florian Aufegger, Senior 麻豆原创 EWM Solution Consultant, KNAPP AG

As organizations build and deploy more agents, governance also has to evolve from compliance checkpoints to an integral part of the entire agent life cycle. Trust remains the biggest barrier to AI adoption for 71% of technology buyers, according to . This is why , now generally available, helps organizations govern every agent, LLM, and MCP server across 麻豆原创 and non-麻豆原创 environments. New capabilities, including 麻豆原创 Signavio Agent Mining, measure the outcomes every agent delivers and identify opportunities to further optimize those outcomes.

Start scaling AI, and your business outcomes, today

BCG’s latest found that the companies farthest ahead scaling AI deliver 2.4 times the revenue growth and 2.8 times the EBITDA growth of those falling behind.

Our customers, Reinhausen and KNAPP, show what that looks like up close: an hour of manual work reduced to seconds, and problems on the warehouse floor solved without waiting for an expert. Our goal is to make results like these repeatable for every 麻豆原创 customer.

If you want to see more, the new are now live, and starts October 27, in person and online. You can also of Joule Work and 麻豆原创 Business AI Platform.

Brenda Bown is chief marketing officer for 麻豆原创 Business AI Platform and Joule.

I鈥檝e spent most of my career building supply chain technology to drive business outcomes at scale. Earlier in my career, nobody was talking about AI. But I was helping build what we鈥檇 now call an autonomous supply chain.

At scale, manual decision-making simply cannot keep pace with growing consumer expectations. That鈥檚 why the next phase of supply chain AI needs to move beyond analysis to help organizations turn insights into action across the processes and applications that move goods. 

Decision velocity: where supply chain speed is won or lost 

Even the most intelligent supply chains can struggle to turn a meaningful signal into a well-governed response. I think of that as decision velocity: how quickly an organization can recognize change and coordinate the right response based on relevant business context.听

In supply chain, decisions are inherently interconnected. Planning affects manufacturing, which depends on product and asset readiness, suppliers, logistics partners, and more. I hear this from our customers today: each decision could be rational; the sum of them was not.听

AI can automate individual tasks, but isolated intelligence only creates isolated value. 

Agents need to understand how a decision in one domain affects the next. That鈥檚 where supply chain applications become critical, providing the business context, connected processes, and controls that agents need to act. 

New Joule Agents extend AI across the supply chain 

This year at 麻豆原创 Connect, we’re expanding the capabilities of six Joule Assistants introduced earlier at 麻豆原创 Sapphire and adding specialized Joule Agents that can take on critical supply chain tasks. These capabilities will help organizations respond faster and automate more routine work while keeping people at the center of informed decision-making: 

• The Product Design Assistant will be able to interpret product designs, recipes, and specifications and orchestrate compliant product changes, helping accelerate time to market.听
• The Supply Chain Planning Assistant will help planners sense, simulate, and resolve exceptions in a single workspace, helping teams understand downstream impacts and address disruptions before they ripple across the enterprise.听
• The Manufacturing Assistant will help teams respond to plant-floor disruptions as they happen, while new capabilities in the Logistics Assistant span warehousing, outbound optimization, fulfillment, and transportation dispatching, helping turn logistics insight into action.听听
• New agentic capabilities for the Asset Operations Assistant will help translate equipment and maintenance signals into action by supporting the initiation, screening, and simulation of maintenance requests. And the Business Network Assistant will improve collaboration with suppliers and logistics partners in areas such as sourcing, contracting, and exception handling. 

What connects these scenarios is the ability for agents to operate within the business context already governing the supply chain, so an insight in one area can inform the next and, when authorized, trigger coordinated action.听General availability for these new capabilities is planned for Q4 2026.听

Customer results show autonomy taking hold 

Customers are already putting this shift into practice.  

Takeda Pharmaceuticals will use the Supply Chain Planning Assistant to help pinpoint likely causes behind planning issues and propose corrective steps, supporting adaptive planning processes over time.  

Rebecca Kaufmann, senior vice president and head of Enterprise Platforms at Takeda Pharmaceuticals, said, 鈥淲e are combining the 麻豆原创 industry and technology knowledge with our organizational real-life experience. The Supply Chain Planning Assistant will provide us with AI-detected root causes and AI-suggested remediation and also automated performance tracking resulting in a self-healing capability.鈥澨�

Doehler, a global producer of natural ingredients for the food, beverage, life sciences, and nutrition industries, is applying AI to logistics issue resolution.  

Stephan Schissler, CIO at Doehler GmbH, says, “Our people’s greatest value lies in deciding what to do next鈥攁nd now they can focus entirely on that. The Logistics Issue Resolution Agent detects the root cause, recommends the resolution, and turns a multi-hour firefight into a one-click decision. Our logistics team has recovered roughly a third of the time once lost to troubleshooting, and our processes are becoming self-resolving rather than exception-driven.”听

This is how autonomy delivers practical value: moving from manually managing exceptions toward more intelligent supply chain processes. 

Building autonomy on a foundation of trust 

As AI takes on a greater role in supply chain decisions, trust must be built into how it operates. Leaders need to understand what AI decided and why, define what it is authorized to complete, intervene when necessary, and know who is accountable. 

That is the direction behind everything we are introducing at 麻豆原创 Connect in 2026. By grounding Joule Assistants and their agents in the processes and data of the 麻豆原创 Supply Chain Management portfolio, we can help organizations move from insight to coordinated action while keeping people at the center of the decisions that matter most.听

For supply chain leaders, that is where autonomy becomes tangible: less time spent on routine work and resolving exceptions, faster responses when conditions change, and more time for the strategic decisions that strengthen resilience, efficiency and customer value. 

Ultimately, it comes down to decision velocity you can trust. 

Devesh Mishra is general manager and chief product officer for 麻豆原创 Supply Chain Management.

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At , 麻豆原创 showcased the Autonomous Enterprise in action, including Joule Work, 麻豆原创 Autonomous Suite, and 麻豆原创 Business AI Platform.

麻豆原创 launched the Autonomous Enterprise at 麻豆原创 Sapphire in 2026. At this year鈥檚 麻豆原创 Connect, customers are weighing in on how they鈥檙e using it and how much farther they can go with it. Customers like Novartis, Nestle, and more are actually showing proof of the results. Trust and business context are key factors when it comes to reliable AI systems, and by its innovations built inside 麻豆原创 Autonomous Suite, 麻豆原创 is proving this is the beginning of better.

Get all the news: .听

According to research from the , 72% of executives believe organizations claiming to transform work with AI are primarily automating existing processes rather than fundamentally redesigning how work gets done. Yet, 88% say redesigning work and roles creates significant enterprise value. And HR is ranked as the No. 1 owner of that work. As a result, HR and business leaders are looking at how technology can support their need to continuously align people, skills, and work with evolving business priorities.

This is the journey to . Autonomous HCM is the future of human capital management, where AI automates end-to-end processes, drives context-aware decisions, and optimizes workforce operations at scale.

As we think about Autonomous HCM, we have defined three pillars:

1. Automate the HR function to release capacity from administrative work: HR teams currently spend a significant share of their time on operational activities such as payroll, service delivery, recruiting administration, and workforce management. AI can reduce much of that burden, creating capacity for more strategic work. But automation is not the destination. It’s the foundation. The true value comes from what organizations do with the time and resources they regain.
2. Redesign how tasks, workflows, roles, and teams are structured throughout the enterprise, across both people and AI: For decades, companies optimized around jobs, functions, and fixed processes. AI challenges many of those assumptions. The opportunity is no longer simply to make existing work more efficient. It is to rethink work itself. This is not just a technology initiative. It is one of the most important business transformation challenges organizations face today.
3. Reinvent how organizations recruit, develop, move, and reward their people: Most talent processes were built for a world characterized by stable jobs and predictable career paths, but that world is rapidly changing. Organizations that succeed will create talent ecosystems that can adapt as quickly as the business itself.

These three pillars are all interconnected: automation releases capacity, work redesign determines how value is created, and talent-system reinvention makes the new model sustainable.

What makes this possible is 麻豆原创鈥檚 unique ability to bring together trusted workforce data, connected business processes, ontology, and AI within a single business context. Together, this context enables organizations to move beyond isolated HR activities and make strategic workforce decisions that drive the most urgent business outcomes. This context is what matters.

During 麻豆原创 Connect, 麻豆原创 announced that it has entered into an agreement for 麻豆原创 to acquire TechWolf. TechWolf provides a leading AI work intelligence platform, which helps organizations understand the work their people do and the skills they have, giving them the right context and the right grounding. Once the transaction closes, TechWolf is expected to power workforce and talent strategies across the 麻豆原创 SuccessFactors portfolio, bringing skills mapping, workforce planning, and organizational redesign informed by context from across the Autonomous Enterprise to guide decisions about development, deployment, and workforce transformation.

New Innovations to 麻豆原创 SuccessFactors HCM Suite

While Autonomous HCM is our vision for the future, we have several new innovations spanning the entire 麻豆原创 SuccessFactors HCM suite, available this month, including:

A growing portfolio of AI assistants

New AI assistants orchestrate work end-to-end and support decisions in real time. Many of the agents that we announced at 麻豆原创 Sapphire are available this month, including assistants for payroll, HR service, learning, recruiting, onboarding, and career and development. We have more agents coming soon, including the new Workforce Planning Assistant to support customers using . It is powered by connected workforce, contingent labor, and financial data from 麻豆原创 SuccessFactors, , and , to help business and HR leaders forecast workforce needs and create plans for the most effective mix of hiring, reskilling, redeployment, and external talent to address changing workforce demands.

Significant updates to our global benefits solutions

Benefits are among the most important decisions employees make, and they can also be some of the most complex for HR teams to support. To help make benefits administration more efficient for HR and benefits decisions more personalized for employees, 麻豆原创 announced two new innovations built natively into 麻豆原创 SuccessFactors Employee Central. The new agentic admin console for U.S. benefits provides HR administrators with a centralized view of benefits enrollment activity and exceptions, helping them quickly identify and resolve issues with built-in monitoring and natural language support. By reducing time investigating enrollment issues and navigating reports, organizations can improve oversight and manage complex enrollment periods more efficiently. Additionally, the new benefits decision support tool uses employee data already in the system to recommend coverage aligned to individual needs and budgets, resulting in a more personalized and intelligent enrollment experience for employees. 

New integration of WalkMe Learning Arc with

Creating and deploying learning content can often take weeks, making it difficult for organizations to respond quickly to changing business needs. With this new integration, learning teams can describe learning requirements in natural language, and AI generates courses and quizzes while maintaining author control. Learning experiences can then be created and deployed directly within 麻豆原创 SuccessFactors Learning in hours rather than weeks.

Shaping Autonomous HCM with our customers

As we look forward, we know that what has worked in the past will not take us to the future. The goal is not simply to showcase technology, but to prove how connected AI can help organizations translate strategic decisions into measurable workforce and business results faster and more effectively. Rather than organizing our innovation around individual products or modules, we are focusing our innovation around the most important outcomes our customers are trying to achieve鈥攁nd in doing so, leaning into 麻豆原创鈥檚 strength in connecting data, workflows, and processes across the entire 麻豆原创 portfolio. We will co-innovate with select customers to define, validate, and measure outcome-driven approaches that connect workforce decisions directly to business value, proving the value of our innovations in real time.

The journey starts now

We are at a defining moment for HR leaders. The future of work will not be shaped solely by technology. It will be shaped by the leaders who can translate transformation into meaningful outcomes for their organizations and their people.

Autonomous HCM is the future of HCM. But it does not start tomorrow. The journey starts today.

To learn more about the latest 麻豆原创 SuccessFactors innovations and how 麻豆原创 is helping organizations advance their journey toward Autonomous HCM, .

Siva Sundaresan is general manager and chief product officer for 麻豆原创 SuccessFactors.

These announcements build on the Autonomous Customer Experience strategy we introduced at 麻豆原创 Sapphire. That premise is straightforward: AI must understand customer intent, make context-aware decisions, and execute within business guardrails. Following through on a customer commitment requires AI grounded in real-time, enterprise-wide business data, with a deep understanding of the processes needed to orchestrate work from intent to outcome.

A quote needs accurate pricing and terms. An order depends on inventory, credit, payment, and fulfillment. A service interaction requires information about the customer, the product, and the commitments the company has already made.

Customers generally do not see this operational complexity. They experience whether the company followed through.

Joule Assistants move from providing answers to driving business outcomes

Many AI tools can reason about what should happen next and recommend actions. But executing complex enterprise processes requires more than that.

AI needs to understand the live state of the business, including customer commitments, products, pricing, agreements, orders, payments, policies, and operational constraints. It must then navigate the approvals, exceptions, and cross-application steps required to act. Without that grounding, proposed actions may appear reasonable but can be inappropriate, infeasible, or break down in execution.

This is the direction behind the latest Joule Assistant innovations. New and enhanced combine role-specific intelligence with business and process context across marketing, commerce, sales, service, finance, operations, and compensation, helping users move from understanding what should happen to getting the work done.

The innovations apply this approach to moments where fragmented context, manual steps, and handoffs can slow the customer experience.

• Campaign Assistant and Content Assistant help teams move from campaign ideas to execution faster by reducing the effort required to plan, create, refine, and activate marketing campaigns.
• Shopping Assistant makes product discovery easier and more relevant to what the customer is trying to accomplish.
• Quoting Assistant brings customer, pricing, and commercial context together so sellers can prepare quotes faster and spend less time assembling information across systems.
• Service Planning and Operations Assistant translates service demand into coordinated plans, reducing the manual work required to align people, resources, and customer commitments.
• Incentive Compensation Assistant and Recurring Receivables Assistant bring the same intelligence to critical processes behind the customer experience, helping resolve questions, reduce administrative work, and keep compensation and payment workflows moving.

Together, the new assistants announced at 麻豆原创 Connect extend the approach introduced at 麻豆原创 Sapphire. Sales Assistant brings engagement insights, pipeline signals, and deal context together so sellers can prioritize the right opportunities, prepare for every interaction, and spend more time building relationships and moving deals forward. Deal Closing Assistant unifies customer, product, pricing, and fulfillment intelligence to help teams build optimal quotes, surface relevant products with pricing and availability insights, and shorten the path from negotiation to confirmed orders.

The goal is not to add another conversational interface. It is to move work forward by bringing together the business context, process knowledge, and controls required to act.

Human judgment remains important where decisions require approval, oversight, or exception handling. Within defined guardrails, AI can assemble context, determine and execute appropriate actions, and escalate when human intervention is needed.

麻豆原创 Order Management Services coordinates execution across ERP landscapes

Order management becomes more difficult when an order crosses ERP systems, legal entities, plants, distribution centers, and business units.

Each transition can introduce different information about pricing, inventory, credit, fulfillment status, or ownership of the next action. Consolidating every ERP system before improving order execution is not always a practical starting point.

麻豆原创 is expanding to provide highly scalable, resilient, real-time omnichannel order orchestration across 麻豆原创 S/4HANA and other ERP systems.

Built on a cloud-native, event-driven architecture, 麻豆原创 Order Management Services coordinates order execution across channels, systems, business units, and third-party partners without requiring organizations to consolidate their ERP landscapes first.

The expanded capabilities provide a common layer for validating orders, checking inventory across locations, coordinating transactions between business units, and monitoring progress through fulfillment.

This gives organizations greater flexibility to add, remove, and experiment across channels, while enabling the order management layer to detect disruptions, trigger exception workflows, and keep execution aligned with the original customer commitment.

In complex enterprise landscapes, this combination of scale, flexibility, and reliable integration helps businesses deliver consistent omnichannel experiences while improving operational efficiency.

Complete business context across the customer journey

Customer intent enters the business long before an order reaches a fulfillment system. It begins when a customer discovers a product, engages with a campaign, requests a quote, or starts a purchase journey.

To deliver on that intent, customer-facing interactions must remain connected to the pricing, inventory, ordering, fulfillment, and financial systems that support them.

麻豆原创 Commerce Cloud, cloud ERP edition, is now generally available. First introduced at 麻豆原创 Sapphire, the edition allows midsize and growing companies to extend 麻豆原创 Cloud ERP with commerce capabilities that use ERP data for pricing, availability, orders, invoices, and other transactional processes.

For more than a decade, 麻豆原创 Commerce Cloud has supported some of the world’s largest and most complex digital commerce environments. With 麻豆原创 Commerce Cloud, cloud ERP edition, we are extending that approach to companies that want a more standardized, 麻豆原创-managed path to ERP-connected commerce.

By using 麻豆原创 Cloud ERP as the system of record, organizations can connect digital commerce with pricing, ordering, fulfillment, and financial processes without building and maintaining those connections independently. The result is a faster path to value, lower operational complexity, and an ERP-aligned commerce model designed to scale as the business grows.

The same principle applies as customer interactions move across teams. A new native connection between 麻豆原创 Engagement Cloud, enterprise edition, and 麻豆原创 Sales Cloud synchronizes contact and company information while bringing relevant engagement signals directly into sales workflows. Instead of reconstructing customer context, sellers can continue conversations with a clearer understanding of prior engagement.

Customer experience depends on execution

AI can understand customer intent, make context-aware decisions, and act within defined guardrails. The harder question is whether the business can carry that action across the systems, teams, and processes responsible for delivery.

The innovations announced at 麻豆原创 Connect address different parts of that challenge. Joule Assistants bring business and process context into the flow of work and help execute the next step. 麻豆原创 Order Management Services orchestrates orders across complex ERP landscapes. 麻豆原创 Commerce Cloud, cloud ERP edition, connects digital commerce directly with ERP pricing, availability, ordering, fulfillment, and financial processes.

Together, they advance a common principle: Autonomous Customer Experience depends on connecting customer-facing intelligence with the operational context and processes required to act.

Customers ultimately do not experience recommendations, models, or workflows. They experience whether the business followed through and delivered.

As AI begins to act on behalf of the business, the quality of that follow-through will depend on the business context, process knowledge, and operational reality behind every action.

Additional information on the 麻豆原创 Connect announcements, including availability details and product-specific innovations, is available in the . You can also watch the to see these innovations in action.

Balaji Balasubramanian is president and chief product officer of 麻豆原创 CX.

Many of the futures we have explored are no longer hypothetical. They are showing up in how work is organized and experienced today. The fundamental question now is whether organizations are shaping those changes deliberately or simply reacting as they unfold.

combines monitoring of more than 500 business, academic, government, and economic resources with original global mixed methods research involving 2,718 employees, 500 C-suite leaders, 60 HR executives, and founders of AI-native companies. It points to a fundamental concern: organizations may be optimizing the future of work for efficiency when they should be designing it for value.

The productivity trap

In October 2025, we explored 10 predictions for work, workforces, and work practices, each with two possible futures. A year later, the evidence is strongest for what we call the “AI Upgrade” future, in which AI鈥檚 value is measured through efficiency, productivity gains, and time savings. Signals of broader work transformation are emerging, but they remain less established.

The emphasis on productivity is understandable because time savings, output, and cost reductions are relatively easy to measure. The harder question is what organizations do with the capacity AI can create. They can ask employees to produce more of the same work, or they can redesign work, roles, teams, and talent systems around what people and AI can achieve together.

Work transformation needs a north star

Related research from our found that 88% of employees said their jobs have changed because of AI, yet half of those changes occurred without meaningful guidance from managers or their organizations. Employees are using AI to simultaneously offload tasks and expand the scope of their work, often without a shared playbook or a clear view of the intended outcome. 

Before organizations can transform work intentionally, they need a clear north star for what work should become. Yet between 55% and 70% of employees said they had received no clear organizational guidance on the work shifts they are expected to navigate. At the same time, 72% of C-suite leaders said that most organizations claiming to transform work with AI are really automating existing jobs faster. Without a shared vision for work transformation, organizations risk defaulting to isolated experimentation and efficiency-first use cases, creating uneven outcomes and limiting the combined potential of people and AI.

Six shifts to guide better work design

We endorse six shifts in work and organizational design that are both enabled by AI and associated with work-enriching characteristics well established in organizational psychology as leading to increased employee motivation, effort, performance, and retention:

• From specialist to generalist: Apply core expertise across a broader range of problems and tasks.
• From static jobs to dynamic roles: Organize work around flexible responsibilities and outcomes that evolve with business needs.
• From pyramid to diamond organizational design: Reduce coordination layers and concentrate more people closer to where core work happens, enabling them to own end-to-end delivery.
• From output to impact: Evaluate work by the value it creates, not simply by activity or deliverables.
• From centralized authority to decentralized decision-making: Move decisions closer to the people and teams with the context to act.
• From people management to self-leadership: Give employees greater ownership of their direction, performance, and growth.

Through an experimental study, we validated how all six shifts can enrich work. For example, employees perceived 77% greater autonomy under decentralized decision-making, while dynamic roles were perceived as 49% more challenging than static jobs. The full report examines these effects across all six shifts, compares where organizations are today with where employees believe they need to be, and offers a prioritized path for leaders to get started.

Work transformation requires HR transformation

If work shifts this substantially, the function responsible for the people agenda cannot assume its own role and structure will remain the same. HR was built for fixed jobs, predictable career paths, established hierarchies, and talent systems designed for consistency. AI challenges each assumption.

With this context, we see HR鈥檚 new mandate as focused on three interconnected pillars:

• Automate: Use automation and intelligent systems to release capacity from administrative work and create space for more strategic contribution. C-suite leaders estimate that 49% of HR work will be fully automated within five years, compared with 35% of enterprise work overall.
• Redesign: Lead enterprise work redesign by determining how tasks, workflows, roles, and teams are structured across people and AI. Executives ranked work redesign as the transformation pillar that will create the greatest enterprise value over the next five years and identified HR as its leading owner.
• Reinvent: Overhaul recruitment, development, mobility, performance, and rewards to support how work now gets done and who succeeds in the new way of working. Seventy-five percent of executives agree that organizations can succeed in the AI era only if they reinvent how they measure, reward, and grow people.

In the full report, we also explore four plausible futures for how these pillars might come together to shape HR鈥檚 strategic contribution, depending on where leaders believe the people agenda can create the greatest value.

The future of work is a choice

The future of work is already being built. The opportunity now is to build it intentionally, creating better work for people and greater value for organizations. 

Explore how our 10 predictions from 2025 are tracking, the evidence behind six work shifts for better employee and business outcomes, and four possible futures for how HR can create strategic value in an AI-enabled enterprise. .

Dr. Autumn D. Krauss is chief scientist of the Future of Work Research Lab for 麻豆原创 SuccessFactors.

Joule Work, Joule Assistants and 麻豆原创 Business AI Platform help organizations turn business AI into trusted outcomes across every core function.

LAS VEGAS 鈥� (NYSE: 麻豆原创) today showcased the Autonomous Enterprise in action at 麻豆原创 Connect, demonstrating how Joule Work and Joule Assistants generate value for customers across every line of business.

“This is a breakthrough moment for business AI,” said Christian Klein, CEO of 麻豆原创 SE. “The Autonomous Enterprise has arrived. With Joule and 麻豆原创 Autonomous Suite, built on 麻豆原创 Business AI Platform, we’re helping organizations like Novartis, Morgan Foods, Nestl茅 and PwC connect intelligence across every function to deliver trusted business outcomes.”

At 麻豆原创 Connect, these customers shared how the Autonomous Enterprise is already driving measurable value across their businesses:

• 鈥淲e’ve co-developed and recently launched a pilot of 麻豆原创’s Joule Sourcing Assistant,鈥� said Christoph Buerki, Head of Procurement, Novartis. 鈥淥ur vision is for AI agents to handle the manual heavy lifting, enabling sourcing professionals to focus on strategy, supplier engagement and value creation.鈥�
• 鈥淎t Morgan Foods, we鈥檙e already putting the pieces in place for agentic adoption, especially through our technical foundation. The biggest shift will be moving from reactive to predictive, where agents can connect demand signals, inventory levels and supplier status faster than ever before,鈥� said Steve Hankins, Chief Financial Officer, Morgan Foods, 鈥淥ur superpower will come from people on top of agents. Our approximately 1,000 employees are what make our supply chains work鈥攖he technology helps make them even better.鈥�
• 鈥淥ur 麻豆原创 S/4HANA transformation across 140 countries is creating a connected digital core with consistent processes, trusted data and greater visibility across markets and functions. With that foundation, Joule and the Accounts Receivable Assistant can automatically prioritize collections work based on risk and business context, recommend the next best action and help our finance teams respond faster to change,鈥� said Luca Dell’Orletta, Global Head IT Innovation & Enterprise Architecture, Nestl茅.
• 鈥淚n professional services, billing can be one of the more error-prone processes, with accuracy playing an important role in the client experience. 麻豆原创鈥檚 Billing Assistant brings greater intelligence to this critical process, helping identify potential issues earlier so our people can deliver better client outcomes and build stronger relationships,鈥� said Jill Notz, Chief Accounting Officer, Controller, Business Services Leader, PwC. Building on the success of the Billing Assistant, PwC and 麻豆原创 are into new areas of joint AI innovation.

麻豆原创’s Autonomous Enterprise Scales Up

Joule Work is beginning its customer rollout as a new AI user interface that lets employees interact with 麻豆原创 solutions in their own language and complete work across 麻豆原创 and third-party data. Grounded in business context from 麻豆原创 Knowledge Graph, which maps more than 7 million data fields, Joule provides information users can rely on. At 麻豆原创, Joule Work is already live with 110,000 employees, with the company seeing 20% productivity gains across finance, HR and procurement. A select group of customers also is using Joule Work in their business environments.

• 鈥淧artnering within the Early Adopter Program for Joule Work Desktop has delivered more momentum in just a few months than we saw in all the years before,鈥� said Peter Wied, Director of Complexity Management at Reinhausen. 鈥淲e see huge potential in making access to our 麻豆原创 S/4HANA data significantly easier and faster through natural language. This has the potential to permanently transform how our teams interact with business data.鈥�
• 鈥淭he dedicated team has been phenomenal. Their proactive communication, focus on accelerating architecture activation, rapid remediation of defects and overall support have enabled us to become Joule ready much sooner than would have been possible had we needed to navigate these challenges on our own,鈥� said Keith Smith, 麻豆原创 Platform Architect, CONA Services. 鈥淭he CONA team is excited about the progress made to date and looks forward to exploring and testing Joule’s capabilities in greater depth over the coming months as we continue our adoption journey.鈥�

When a query is not enough, Joule Assistants execute operational work directly within business workflows, using established data, authorizations and audit trails. Customers control the level of autonomy. 麻豆原创’s approach is also open: through the Agent2Agent protocol, Joule can connect with third-party AI and agents, bringing governed business context into broader AI workflows.

At 麻豆原创 Connect, 麻豆原创 showcased how these capabilities generate outcomes across 麻豆原创 Autonomous Suite:

• In finance, controllers can automate revenue recognition, disclosures and trade compliance, with early deployments of the International Trade Assistant reducing trade classification effort by up to 50%.  
• In supply chain, planners can turn multi-hour disruptions into one-click resolutions across planning, manufacturing and logistics.
• In HR, leaders can determine the best way to close workforce gaps, while employees can make smarter benefits choices tailored to their needs.
• In procurement, decision-makers can identify savings opportunities against peer benchmarks and manage the full contingent workforce life cycle.
• In customer experience, organizations can turn customer engagement into sales opportunities with AI-powered campaigns, quoting and customer workflows.
• Across industries, 麻豆原创 is collaborating with customers to apply AI to specialized industry processes, helping organizations in manufacturing, retail, commodity trading and asset-intensive industries improve decision-making, automate routine actions and build more resilient operations.

The Platform Powering Business AI You Can Trust

麻豆原创 Business AI Platform gives organizations one place to build, contextualize and govern AI across 麻豆原创 and third-party environments. With Joule Studio, business users and developers can build and extend skills and agents from no-code to pro-code workflows, choosing from more than 70 AI models. 麻豆原创 Business Data Cloud and 麻豆原创 Knowledge Graph ground those agents in trusted business data and context, helping organizations select the right model for each use case and better manage AI value and consumption.

麻豆原创-managed governance helps organizations scale AI with transparency, accountability and control. 麻豆原创 AI Agent Hub in 麻豆原创 LeanIX solutions provides a central inventory of enterprise agents, while 麻豆原创鈥檚 independently ISO/IEC 42001-certified governance architecture supports regulatory requirements, established authorizations and auditable AI operations.

To help organizations adopt AI at scale, 麻豆原创’s Business Transformation Management portfolio, including 麻豆原创 Signavio, 麻豆原创 LeanIX and 麻豆原创 WalkMe solutions, provides the toolchain to analyze processes, govern applications and agents, and drive adoption across the enterprise.

麻豆原创 Brings Embedded Payments to Cloud ERP

麻豆原创 also announced that it is entering the payments market with 麻豆原创 Pay, powered by Tereina, an 麻豆原创 company. Embedded directly in 麻豆原创 Cloud ERP, 麻豆原创 Pay executes and reconciles payments within the same workflow when an invoice is due, reducing manual file handling and external processing dependencies, while giving customers greater control.

Partners Expand the Reach of Autonomous Business

麻豆原创 is extending the Autonomous Enterprise beyond 麻豆原创’s own application portfolio through new partnerships that bring specialized intelligence directly into 麻豆原创 workflows.

A new partnership between 麻豆原创 and Moody鈥檚 Corporation is designed to embed Moody鈥檚 supplier risk monitoring data into 麻豆原创 Ariba Supplier Lifecycle and Performance. This gives procurement teams continuously updated insights into supplier financial health, operational risk and regulatory status at the point of decision. Organizations will be able to move from periodic risk reviews toward continuous monitoring, enabling Joule Agents to flag supplier risk signals and surface alternatives before disruption affects the business.

An expanded partnership with ORO Labs brings procurement orchestration to 麻豆原创 customers as a solution extension. 麻豆原创 Ariba Procurement Orchestration by ORO Labs is a purpose-built orchestration layer that connects procurement workflows end to end across heterogeneous enterprise environments, giving business users a seamless experience for intake, actions and visibility.

Visit the . Get 麻豆原创 news via  and .

About 麻豆原创

As鈥痑 global leader in enterprise applications and business AI, 麻豆原创 (NYSE: 麻豆原创)鈥痵tands at the鈥痭exus鈥痮f business and technology. For over 50 years, organizations have trusted 麻豆原创鈥痶o bring out their best by uniting business-critical鈥痮perations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

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Before diving into the heart of the keynote, Steinhaeuser invited 麻豆原创 solution area CMOs to deliver lightning-fast recaps of news from the various 麻豆原创 Connect event tracks. In just under two minutes each, they covered finance, procurement, supply chain, HR, and customer experience. From autonomous accounting and next-gen procurement to AI-driven talent acquisition and smarter customer loyalty, the message was clear: across every business function.

The real challenge: connecting priorities

As Steinhaeuser pointed out, 鈥淭he reality is each business area has its own unique priorities and, of course, all-important urgent matters.鈥� The real challenge is not just launching new features; it鈥檚 aligning processes, data, and teams to conquer uncertainty and achieve true customer focus. 鈥淪imply putting an [AI] agent on top of a broken process will solve nothing,鈥� he said.

The flywheel: AI, data, and apps in motion at 麻豆原创

So, how does it all work together? Enter the 鈥渇lywheel鈥� model: the dynamic cycle of AI, data, and applications that drives synergy across the enterprise. This is not just a theoretical approach. Steinhaeuser showed how 鈥溌槎乖� runs 麻豆原创鈥� using the flywheel model.

First, he said, 麻豆原创 uses 鈥渞ole-based AI assistants, powered by specialized agents, [to] support team members across all areas of 麻豆原创.鈥�

Next comes data. Earlier this year, 麻豆原创 became 鈥渃ustomer zero鈥� for (麻豆原创 BDC), connecting all enterprise data in a single layer to generate faster and better insights across financial, workforce, and sales planning. 鈥淲e’re excited to go live with the first set of intelligent apps, starting with People Intelligence,鈥� he added.

Finally, the app layer: 麻豆原创 has moved from 麻豆原创 ERP Central Component (麻豆原创 ECC) to and , through RISE with 麻豆原创. 鈥淭he 麻豆原创 Business Suite is where data is created and where AI delivers impact,鈥� Steinhaeuser said.

But processes continuously evolve with AI, he said, noting that business transformation management, powered by solutions like and , helps 麻豆原创 and its customers continually improve processes and architecture, with AI embedded everywhere. The company also uses to ensure employees stay informed and engaged at every step.

鈥淒riving 麻豆原创’s own transformation, I understand the challenges you face,鈥� Steinhaeuser said. 鈥淚 am convinced leveraging the flywheel of AI, data, and apps across the entire 麻豆原创 Business Suite is how we win together.鈥�

Embedded AI: tangible value, secure, and seamless

Brenda Bown, chief marketing officer of Business AI at 麻豆原创, took the stage to highlight how business AI is showing up in day-to-day work. 鈥淚’ve heard three consistent themes in conversations [with customers]: first, you want AI that can provide tangible value; second, that is secure and properly governed; and third, that works seamlessly across your teams and business. We’re here to deliver just that,鈥� she said.

Joule is now embedded in use cases in trusted 麻豆原创 applications and is making work faster and easier across the enterprise. 鈥淏y the end of this year, we will have more than 400 of these AI use cases,鈥� Bown said. Joule Agents automate tasks across departments, and the new agent builder in (generally available in December) helps customers extend, build, or customize their own agents. 麻豆原创 LeanIX AI Agent Hub and agent mining capabilities in 麻豆原创 Signavio provide governance and transparency for AI agents.

Bown noted that customers like Matur Fompack are using Joule in 麻豆原创 SuccessFactors to hire faster and improve career development. 鈥淭he results are phenomenal: a 48 percent reduction in HR process execution time and 40 percent faster employee development and career planning, and, most importantly, a better employee and candidate experience,鈥� she said.

For processes that require multi-step workflows and nuanced decisions, 麻豆原创 introduced a new generation of role-based AI assistants. 鈥淭hey know your role in the organization, because they are role and context aware,鈥� Bown said. These assistants tap into the right agents for the job, removing any guesswork and helping humans unlock new levels of insight and productivity.

She also showcased how agents collaborate across departments, automate workflows, and even extend 麻豆原创鈥檚 business logic to autonomous devices like robots. Early pilots with partners like NEURA Robotics are already showing Joule Agents planning and executing real work in the real world.

Data and intelligent applications: unified and actionable

Data is only valuable when it is actionable. Irfan Khan, president and chief product officer for 麻豆原创 Data and Analytics, highlighted 麻豆原创 BDC, which unifies enterprise data and powers intelligent applications. 鈥溌槎乖� BDC offers the most powerful foundation for connecting your existing data, building next-generation applications, and the ability to foster and deploy reliable AI,鈥� he said. And the new 麻豆原创 Business Data Cloud Connect solution enables secure, bi-directional data sharing with partners like Databricks and Google Cloud.

Intelligent applications bridge the gap between people and AI. They support smarter decisions and collaboration. 鈥淭hese applications learn from your data and include business simulations to support every business leader with smarter decisions,鈥� Khan explained. 鈥淚f we don’t have a reliable data foundation built around trust, having reliable and resilient data, it becomes very debatable whether or not AI will succeed.鈥�

From insight to action: transformation in practice

How do organizations turn strategy into action? Michael Ameling, president of 麻豆原创 Business Technology Platform (麻豆原创 BTP), demonstrated how 麻豆原创 Business Suite helps drive innovation by uniting core applications, data, and AI, all powered by 麻豆原创 BTP and Business Transformation Management solutions. 鈥淟et’s say you want to understand and improve a business process,鈥� he said. 鈥溌槎乖� Signavio lets you dive deep and understand every detail, and can suggest concrete actions. Then, use those insights to improve the process in 麻豆原创 Build by automating processes and building your own agents.鈥�

He demonstrated how 麻豆原创 BTP and the Business Transformation Management portfolio can help organizations connect systems, gain visibility, and automate processes. Tools including 麻豆原创 Signavio, 麻豆原创 Build, and 麻豆原创 Integration Suite are helping customers like Blue Diamond Growers streamline operations and accelerate transformation.

Services and support: accelerating innovation and realizing value

麻豆原创鈥檚 Anja Schneider, SVP and global head of Premium Engagement and Advisory, wrapped up this segment of the keynote by focusing on how the company鈥檚 services and support teams help customers realize the full value of their 麻豆原创 investments.

鈥淲e鈥檙e with you every step, like a personal trainer,鈥� she said, highlighting how 麻豆原创鈥檚 suite methodology, integrated tools like WalkMe and 麻豆原创 Cloud ALM, and expert guidance help customers realize the full value of their 麻豆原创 investments. She pointed to IBM鈥檚 transformation project as proof: working with 麻豆原创 MaxAttention teams and a clean core approach, upgrades went smoothly with low incidents for more than 150,000 users across 175 geographies.

Customer perspective: Southern California Edison鈥檚 journey

Real-world impact matters. Southern California Edison (SCE) SVP and CIO Todd Inlander shared how the utility company鈥檚 transformation journey with 麻豆原创 is helping modernize its foundational systems and optimize back-office processes. Facing unprecedented demand and environmental challenges, the company is leveraging 麻豆原创 solutions, including 麻豆原创 Business AI capabilities, to transform its operations.

鈥淲e need to adhere to our mission: to deploy safe, reliable, affordable power,鈥� he said. 鈥淲e can’t do that by doing things the way we’ve always done. We have to incorporate 麻豆原创. We’re using it to transform the way we work in our environment. We need to leverage AI because we don’t have enough humans to do all the work. We have to scale.鈥�

As SCE deploys 麻豆原创 Business Suite over the next year, it鈥檚 focusing on keeping a clean core and reducing customizations. 鈥淲hen we implemented ECC 15 years ago, about 66 percent of our enhancements were never used. We’re learning from that experience,鈥� Inlander said. He went on to note that SCE will use the 麻豆原创 deployment time to continue to transform its back-office operations. 鈥淲e’ll be integrating Joule and other AI solutions because doing things the way we’ve always done them and expecting a different outcome is the definition of insanity.鈥�

Steinhaeuser closed the keynote with a look to the future: 鈥淲e鈥檝e made great progress across all lines of business to deliver a unique experience for you鈥攚ith AI becoming your personal assistant, powered by data that defies boundaries and applications that take insight to action. The cross-capabilities you just saw now make the flywheel spin.鈥�

The future is here, and is powered by the synergy of AI, data, and applications. Every business can turn innovation into impact.

New research shows how business AI delivers ROI

To better understand the opportunity to produce returns on investment from AI, 麻豆原创 commissioned that was shared at 麻豆原创 Connect. In partnership with Oxford Economics, we surveyed 1,600 executives in medium and large enterprises across eight countries.

We found that today, on average, organizations are benefiting from a 16 percent return on AI investments鈥攁 number they expect to nearly double within two years. In addition to impressive financial returns:

• 94% of business leaders say AI is improving innovation within their organizations
• 87% say AI is improving customer engagement
• 78% believe AI agents have the potential to transform their business operations

New deep research and AI assistants in Joule expand what is possible

These innovations were engineered based on what our customers tell us they need: to act quickly, simplify complexity, and unlock better, data-driven decisions across the lines of business and processes that matter. But most of all, our customers need AI that drives significant, measurable business outcomes.

To help every organization accelerate returns on investment from AI, at 麻豆原创 Connect we announced powerful new capabilities for , which makes business data and the entire 麻豆原创 Business Suite immediately accessible through the power of a simple conversation. And because Joule is grounded in your company鈥檚 data, it understands context and delivers insights that are specific, actionable, and relevant to your business.

Deep research in Joule, announced at 麻豆原创 Connect, is a new capability expands what people can do within the Joule interface. It goes beyond quick answers to deliver strategic analysis, reporting, and synthesis in a single, connected experience. It brings together internal 麻豆原创 data and external intelligence so people can ask complex questions and receive comprehensive research and recommendations鈥攚ithout ever leaving Joule. The deep research capability in Joule will be available in beta this December.

We also unveiled the new concept of role-based AI assistants in Joule, built to partner with people in their specific roles. These assistants connect to the right Joule Agents for the job, removing guesswork so teams can unlock new levels of productivity and insight. Whether it鈥檚 a finance leader forecasting working capital, a recruiter evaluating headcount needs, or a planner adjusting inventory, AI assistants surface the right intelligence, at the right time, in the right context. In the background, Joule Agents get work done for you.

These innovations mark the next chapter in how people interact with enterprise systems, helping every role across an organization seamlessly move from inquiry to insight to action.

New Joule Agents autonomously get work done

To help enterprises further accelerate business results, we introduced 14 new Joule Agents at 麻豆原创 Connect. They help people coordinate, decide, and execute tasks with greater precision. Joule Agents are in finance, HR, procurement, and supply chain, in a way that only 麻豆原创鈥攚ith our deep expertise in these functions鈥攃an deliver.

For example, rather than navigating multiple systems or running countless manual checks to release an order, a production manager鈥攁 key role in the supply chain function鈥攚ill be able to turn to our Production Planning and Operations Agent, planned for general availability in the Q1 2026. They can simply ask Joule to do it, safely and in real time. The agent will validate and release orders when conditions are met, accelerating production start times and shortening order-to-delivery cycles.

And starting December 2025, with the general availability of , now in beta release, customers will be able to create and deploy custom Joule skills and Joule Agents tailored to their unique business needs. Agent builder in Joule Studio is your command center for designing, building, and deploying enterprise-ready custom Joule Agents using the same powerful 麻豆原创 technologies鈥攊ncluding 麻豆原创 Knowledge Graph for deep business context, 麻豆原创 Business Data Cloud for comprehensive data access across 麻豆原创 and non-麻豆原创 sources, and 麻豆原创’s central identity and authorization services to ensure responsible agent behavior. These capabilities empower every enterprise to extend, customize, and personalize 麻豆原创 Business AI solutions.

New embedded intelligence across 麻豆原创 applications

To help our customers move faster and make better decisions where work happens, we continue to bring intelligence directly into the applications they rely on every day. These embedded capabilities extend the same AI-driven guidance that powers Joule Agents into core 麻豆原创 solutions, enhancing user workflows with context, clarity, and automation. We will have more than 400 of these AI use cases by the end of the year.

For example, in , starting in February 2026, AI will orchestrate personalized interactions across HR, marketing, and service, bringing harmonized data, relevant context, and better business outcomes into every engagement. In the solution, planned for general release in the first half of 2026, AI will predict shortfalls and fulfillment risks, helping planners simulate and respond with speed and precision.

Additionally, the rebuilt 麻豆原创 Ariba source-to-pay suite, arriving in February 2026, brings a modern, cloud-native experience to every stage of procurement. Embedded AI guides people with intelligent recommendations, accelerates contract reviews, and surfaces supplier insights in real time. By simplifying sourcing decisions and improving compliance, it helps procurement teams strengthen supplier relationships and capture more value, faster.

Governing AI with visibility and control

As our customers continue to adopt these AI innovations embedded across their functions, we know they need transparency into how it operates, what it influences, and the value it creates. That is why we provide tools to give them the visibility they need to deploy AI with confidence and scale it responsibly.

麻豆原创 LeanIX AI Agent Hub helps CIOs and business leaders see their entire AI agents landscape at a glance. From one dashboard, they can understand where agents are deployed, what processes they touch, and how agents are performing. This allows teams to evaluate effectiveness, identify redundancies, and manage AI like any other enterprise asset: aligned to outcomes, governed by policy, and continuously optimized.

Complementing that, agent mining in gives organizations a powerful way to analyze how AI contributes to process performance. It reveals how AI agents decide and act, flags bottlenecks and non-compliance, and uncovers where automation adds value and how to fine-tune it for efficiency and impact. Together, these tools bring clarity to what has often been a black box: transforming governance from reactive oversight into proactive optimization.

What鈥檚 next for business AI

At 麻豆原创 Connect, we also shared a view into what鈥檚 coming and how our innovations will continue to redefine enterprise productivity. For example, we鈥檙e developing an outcome-driven user interface that adapts to context in real time. Instead of navigating menus or searching for data, people will simply express what they want to achieve, and the system will guide them through the right actions, insights, and tools.

We鈥檙e also extending Joule Agents beyond software into the physical world鈥攃onnecting your company’s business intelligence to robotics and industrial systems. This opens a new frontier for automation, combining state of the art electronics that utilize physical AI tools, such as computer vision and collision detection, with AI agents capable of reasoning through complex goals and planning multi-step workflows. this November to learn more.

Ready to start your AI journey?

We know AI is top of mind for most business leaders today. In fact, another finding from the research we commissioned with Oxford Economics is that 41 percent of tasks in global businesses will be supported by AI within two years鈥攗p from 25 percent today.

As you continue to explore what is possible with business AI, we鈥檒l keep innovating to deliver systems that are intelligent by design, trusted in operation, and, most important, measurable in their impact.

For us, it鈥檚 all about what you hope to achieve. We鈥檙e proud to partner with you on your AI journey. If you鈥檙e ready to take the next step, here are three things you can do right now:

• Learn how to bring the potential of AI into your organization by signing up for our .
• In our , get inspired about what鈥檚 possible by exploring how leading companies are transforming with AI.
• Watch 麻豆原创 Connect virtual sessions, , to see our latest innovations in action.

There鈥檚 more to come. Join us at on November 4 for the next wave of AI innovations that will transform the enterprise.

Brenda Bown is chief marketing officer for 麻豆原创 Business AI.

Against the backdrop of the event theme鈥�”Connect Everything, Achieve Anything: Agents, Data, and the Business Suite鈥濃�攖hey set out 麻豆原创鈥檚 vision for how 麻豆原创 Business Suite, which combines AI, data, and applications, can transform enterprises and deliver unprecedented business value to customers despite global macroeconomic uncertainties. 

Unique times

鈥淲e are living in very unique times,鈥� Alam said at the start of the keynote. 鈥淯nique in terms of the unpredictability we face from a geopolitical and macroeconomic perspective,鈥痑nd also unique in terms of the advancement in AI and the potential that carries for all of us.鈥�  

He added, 鈥淓ven the most significant challenges can be responded to, navigated, and鈥攚hen approached the right way鈥攖urned into opportunities. And that鈥檚 exactly where 麻豆原创 comes in. Because the best way to face uncertainty is with confidence that you can see what鈥檚 happening across your business and your network.鈥� 

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The CFO perspective 

His comments were echoed by CFO and Executive Board Member Dominik Asam in an onstage discussion with economist and Berkeley professor Ulrike Malmendier, during which they likened the role of the CFO in navigating today鈥檚 business uncertainties to that of co-piloting a modern jet. 

鈥淎I is the next supercycle and has what it takes to create an effective cockpit for the CFO, including recommendations about real actionable options all the way to autopilot for less critical tasks,鈥� Asam said. He also warned that standing on the sidelines of technological progress is 鈥渁 sure recipe for falling behind in competition.鈥�  

鈥淎s in prior tech supercycles, the entire competitive playing field is being completely reshuffled,鈥� he said.

New products

Building on this theme, Alam noted that while uncertainty is real and isn鈥檛 going away, it can be successfully navigated and turned into opportunities. To help customers achieve this, he announced several new and enhanced 麻豆原创 products. 

Among them, 麻豆原创 Supply Chain Orchestration is an AI-native application that uses a network knowledge graph to analyze real-time signals across a company鈥檚 multi-tier supply chain to detect risks and issues, such as extreme weather or tariffs. It then helps customers minimize disruptions by assessing the impact of these risks and suggesting alternatives to help minimize disruptions.   鈥淭hink of it like a GPS in your car which selects an alternative route to avoid traffic or tolls,鈥� Alam explained. In addition, he announced a major update to the 麻豆原创 Ariba solutions for source-to-pay suite, positioning 麻豆原创 Ariba as the most modern platform in the industry and the only truly AI-native source-to-pay solution鈥攁ll built on 麻豆原创 Business Technology Platform.

The human-AI partnership opportunity 

Turning to uncertainties over the future of work itself, 麻豆原创 Chief People Officer and Executive Board Member Gina Vargiu-Breuer, who is leading 麻豆原创鈥檚 own workforce transformation, was joined on stage by Ian Beacraft, founder and chief futurist of Signal and Cipher. 

鈥淎t 麻豆原创, we know firsthand that AI is everywhere, shattering norms and transforming the workforce,鈥� Vargiu-Breuer said. 鈥淎nd we as 麻豆原创 are boldly steering this shift, as requirements for our workforce are simply changing really fast.鈥�  

Vargiu-Breuer emphasized that a successful business AI strategy also depends on leveraging AI alongside human expertise and fostering what she described as 鈥渁 collaborative human + AI approach, rather than just automation.鈥�  鈥淏y integrating AI’s capabilities with human creativity, empathy, and judgment, we move beyond simple automation into real human-AI power couples,鈥� she said. 鈥淯ltimately, the future will favor those who embrace orchestration, delegation, and creative problem-solving.鈥�

Role-based AI assistants

Echoing this human-centric approach, Alam noted, 鈥淓veryone is talking about agents鈥攂illions of agents鈥攁nd agents taking over everything. We want to talk about people, the roles they play, and the tried-and-tested organizational constructs in place today that are running complex businesses across industries.鈥� 

Reflecting this, he said 麻豆原创 is making Joule deeply aware of the workstyle of the person it partners with, their role, and the business process context in which they operate. 鈥淭oday, we are introducing AI assistants, including a receivables assistant for your accounts receivable colleagues, a controlling assistant for your controlling colleagues, a demand Planning assistant for your demand planning colleagues, and an AI assistant for every role.鈥�   Each assistant has agents and AI tools at their disposal to help make the person it partners with smarter and more efficient, Alam explained.

Taking the receivables assistant as an example, he said it can handle collections and dispute resolution today and will soon also be able to help with fraud detection, invoice processing, and payment scheduling. 鈥淥ver time, we will continue to make this assistant even smarter by adding more agents and capabilities鈥攁ll designed to make the person in this role more effective.鈥�

Deep research and new intelligent applications

鈥淲hile efficiency and automation carry potential for great value for the organization, AI鈥檚 greatest strength is in unlocking insights and recommendations based on its ability to do deep research across vast amounts of internal and external data, which is hard for people to do,鈥� said Alam. To address this challenge, 麻豆原创 is introducing deep research in Joule, a capability that can research and analyze complex problems and deliver findings quickly and efficiently. 

Following additional announcements, including an expanded set of 麻豆原创 Business Data Cloud Intelligent Applications and an enterprise wide, multi-stakeholder engagement orchestration solution in 麻豆原创 Engagement Cloud, Alam closed out the keynote by reminding his audience: 鈥淭o create exponential value and to reach the global maxima for your enterprise, the whole matters.  And that鈥檚 what we are focused on: providing you with best-in-class applications, seamlessly and natively integrated across the breadth of finance, spend, supply chain, HCM, and customer experience.鈥� 

麻豆原创 Business Suite delivers unprecedented value

The unmatched value of 麻豆原创 Business Suite is that it brings together the power of best-in-class applications with a semantically rich harmonized data layer to power high-value AI in a singular seamless experience. It helps you manage uncertainty, evolve your workforce, and break down silos to create amazing customer value.

Each 麻豆原创 software solution delivers strong value, helping teams excel in their specific domain. Yet the true strength of 麻豆原创 emerges when these applications operate across the enterprise; when finance decisions are informed by procurement data in real time or when workforce insights from HR directly shape supply chain planning.

That is why exists: a portfolio of applications, data, and AI working together to cover the full spectrum of business operations. At the heart of 麻豆原创 Business Suite is (麻豆原创 BTP), the technology platform that connects it all.

麻豆原创 BTP is a platform engineered to integrate, automate, extend, and build AI-powered business applications and processes across your enterprise.

麻豆原创 BTP is also how we supercharge AI. On its own, AI can generate outputs that look impressive, but without business context, they often lack real-world relevance. 麻豆原创 BTP solves this by bringing together systems, ensuring consistent data, and automating processes across the enterprise. This means AI doesn鈥檛 operate in isolation; it understands the relationships between finance, supply chain, HR, procurement, and more.

That connection is what turns AI from theory into practice. When AI is trained on accurate, well-structured data and tied directly to business processes, it can deliver recommendations that people trust and use to make smarter decisions. The result is an innovation flywheel, where teams and AI continually become smarter, faster, and more impactful across the enterprise.

New 麻豆原创 applications built on 麻豆原创 BTP

This week at 麻豆原创 Connect, we talked about the ways in which 麻豆原创 BTP enables our customers and partners to tap into the innovation flywheel. We also demonstrated how 麻豆原创 is using 麻豆原创 BTP as its core application development platform with the release of three new high scale enterprise applications powered by 麻豆原创 BTP (麻豆原创 Build).

• 麻豆原创 rolled out the next generation of 麻豆原创 Ariba solutions for source-to-pay. New capabilities will help procurement professionals improve cost savings, ensure compliance, and build supply chain resilience by automating and supporting key processes such as buying, sourcing, supplier management, contracts, and invoicing. , making it easier to integrate them with 麻豆原创 Business Suite, the 麻豆原创 ERP application, and third-party ERP systems using open APIs.

• 麻豆原创 introduced 麻豆原创 Supply Chain Orchestration. can leverage data from 麻豆原创 Business Network and the 麻豆原创 Business Data Cloud solution, expanding insights across every tier of the supply chain. 麻豆原创 Supply Chain Orchestration is designed to empower customers with one synchronized supply chain system that will help enhance risk detection, deliver actionable insights, and enable coordinated responses across supply chains. An intelligent impact analysis capability will help manage upstream supply chain risks and disruptions, and both external and internal supply chain signals will be contextualized into prioritized actions. The solution will also provide multi-tier supply chain insights that extend beyond traditional boundaries.

• , giving customers a technical foundation that enables faster speeds, easier integration, collaboration at scale, and continuous innovation. This will enhance customers鈥� existing investment in 麻豆原创 Business Network, adding value without disruption.

Lowering barriers with simplified licensing and packaging

麻豆原创 is committed to making it easier than ever for customers to adopt, experiment, and scale new innovation. We鈥檙e continuously simplifying access to 麻豆原创 BTP and 麻豆原创 Business Suite, ensuring that every organization, no matter its size or technical maturity, can take advantage of the latest advances in AI, automation, and data connectivity.

Earlier this year, we simplified 麻豆原创 Build pricing model and included its capabilities in all 麻豆原创 Business Suite packages, giving customers a frictionless way to jumpstart their development without needing to purchase additional licenses. Then we introduced a free 麻豆原创 Build license for partners, allowing solutions to be tested, demoed, developed, and then sold on the 麻豆原创 Store. Most recently, we , which now includes Joule for Developers and Joule Studio, and made it available to all existing 麻豆原创 BTP Enterprise Agreement customers.

From streamlined commercial offerings and consumption models to guided innovation paths through and , our goal is clear: lower the barrier to innovation so every customer can turn great ideas into business outcomes faster.

Real-world results: Customers delivering value with 麻豆原创 BTP

To get inspired, here are just a few examples of 麻豆原创 BTP in action with customers:

• 57,000 hours saved annually: developed an intelligent virtual assistant for financial leaders by combining human expertise, 麻豆原创 solutions, and AI technologies. This AI assistant, built on 麻豆原创 BTP, streamlines the creation of financial narratives and provides live alerts on key financial metrics, augmenting decision-making in real time. The result is 57,000 hours saved of what was manual work.
• 100,000 applications processed: launched a financial aid application platform in just two weeks using 麻豆原创 BTP, 麻豆原创 AI Services, and other solutions. This generative AI-enabled platform efficiently processed nearly 100,000 subsidy applications during an energy crisis, showcasing agile innovation with 麻豆原创鈥檚 AI and platform tools.
• 95% improvement in search results: 听built a 鈥淧erfect Purchase Requisition鈥� app, and extended 麻豆原创 Ariba, using 麻豆原创 Build Work Zone and 麻豆原创 BTP鈥檚 generative AI capabilities with 麻豆原创 HANA Cloud vector engine. This AI-powered app automatically validates and corrects purchase requisitions, speeding up procurement cycles and improving data quality before orders go out. The application has significantly reduced the time and effort buyers spend finding the correct products, with 95 percent of searches successful on the first attempt.
• 10,000 orders analyzed annually: 听built a “GenAI Supply Chain Troubleshooter” on 麻豆原创 BTP to simplify complex supply chain interactions. This AI assistant reduced issue resolution time and costs by 90 percent, saving 3,120 hours of staff effort annually, and demonstrates how generative AI can dramatically streamline supply chain management.
• AU$1+ million saved annually: 听revolutionized its operations with generative AI and 麻豆原创 BTP. Custom apps have delivered rapid insights to field crews, while Joule’s natural language interaction with 麻豆原创 SuccessFactors has saved 75 hours on average. Leveraging 50 years of asset history, they ensure safe operations, saving over AU$1 million annually and achieving a 99 percent success rate in identifying poles unlikely to corrode.

Ready to start? Explore 麻豆原创 BTP resources

Thanks to everyone who attended 麻豆原创 Connect virtually and in-person in Las Vegas! For those who couldn鈥檛 attend live, I recommend reading the听, checking out the , and watching the听executive keynote delivered by Muhammad Alam.

To get started today, visit to start a and explore .

Bharat Sandhu is chief marketing officer for 麻豆原创 Business Technology Platform.

New intelligent applications and open ecosystem
partnerships turn insights into action across the enterprise

As enterprises move toward an AI-driven future, the role of data has never been more critical. Yet much of that data remains locked in silos 鈥� spread across teams, clouds, and legacy systems.

This fragmentation creates a 鈥渃ontext gap,鈥� where information is technically available but disconnected from the business meaning that makes it actionable. For example, sales and marketing teams may share a common view of pipeline, but without linking it to product feedback or process bottlenecks, AI models trained on that data miss the full business context. The result is inconsistent insights, slower decision-making, and a stalled cycle of AI, data, and applications. 

closes this gap. By harmonizing enterprise data wherever it resides and preserving its business context, it provides the foundation for intelligent applications and reliable AI.

At 麻豆原创 Connect, 麻豆原创 is bringing this vision to life with the next wave of innovations: 麻豆原创 Business Data Cloud Intelligent Applications 

Four new intelligent applications in preview

Building on the momentum for intelligent applications established at 麻豆原创 Sapphire, 麻豆原创 is now opening a restricted public preview of four intelligent applications designed to transform decision-making across finance, procurement, supply chain, and revenue operations.

Finance Intelligence gives CFOs and finance teams real-time AI-powered analysis of liquidity by harmonizing 麻豆原创 and third-party data and suggesting key actions to implement. Leaders can forecast cash flow instantly as well as detect liquidity risks using AI trained on live receivables and payables with external credit data such as Moody鈥檚 for richer customer risk assessment. With Joule and generative AI agents automating routine finance tasks, finance teams can shift their focus from reporting on the past to actively steering the future. 

Spend Intelligence provides organizations with a single, comprehensive view of enriched and classified spend data. Built-in AI and advanced analytics uncover patterns, anomalies, and opportunities for cost savings, while collaborative features connect finance, procurement, HR, and supply chain teams for better alignment. Through native integration with 麻豆原创 source-to-pay solutions, spend data continuously informs operational workflows, improving decision-making, enhancing control, and strengthening enterprise resilience. 

Supply Chain Intelligence equips operations leaders with the context to make faster, more impactful decisions. By combining 麻豆原创 data with external signals such as weather, regulatory updates, and market shifts 鈥� along with insights from millions of partners in 麻豆原创 Business Network 鈥� businesses can leverage the power of AI to understand and take action on key supply chain issues and drive optimization. This comprehensive intelligence helps anticipate disruptions, evaluate supplier risks, and orchestrate decisions seamlessly from prediction to execution, ensuring more resilient and agile operations. 

Revenue Intelligence transforms fragmented customer touchpoints into unified, actionable insights. By linking individual customer behaviors with enterprise-wide operations, it helps revenue leaders see which accounts to prioritize, when to intervene, and how to optimize customer investments. Unlike CRM-only tools, Revenue Intelligence connects front-office engagement to back-office execution, empowering organizations to maximize growth opportunities and strengthen customer relationships with a complete view of the business context.

麻豆原创 Business Data Cloud Connect

Beyond intelligent applications, 麻豆原创 is strengthening its open data ecosystem with 麻豆原创 Business Data Cloud Connect, giving customers unprecedented flexibility to work with trusted data wherever it resides. With secure, zero-copy sharing, customers can bring 麻豆原创 data products directly into their existing data platforms, eliminating duplication, reducing transformation efforts, and extending the reach of 麻豆原创鈥檚 business data fabric.

The first partners adopting this capability include Databricks (generally available) and Google (now in public preview), enabling real-time, bi-directional access to semantically rich 麻豆原创 data products in environments customers already use.

With 麻豆原创 Business Data Cloud Connect for Databricks now generally available, organizations can accelerate analytics and AI initiatives with greater speed, less friction, and full confidence in the integrity of their data.

麻豆原创 is committed to rapidly expanding this partner ecosystem so that, no matter where enterprise data resides, customers can connect it with trust, governance, and business context. 

Why it matters

Together, these announcements reflect 麻豆原创鈥檚 vision for the intelligent enterprise 鈥� where applications don鈥檛 just analyze, but act. By combining trusted data, open connectivity, and embedded AI, enterprises can shorten decision cycles, reduce integration complexity, and align intelligence directly with business outcomes.

For organizations operating across hybrid environments and complex data landscapes, these innovations make it easier than ever to turn insights into action and deliver measurable impact.

This week at , customers can experience this vision firsthand through live demos, real-world case studies, and discussions with 麻豆原创 leaders, partners, and peers. It鈥檚 an opportunity to see how 麻豆原创 Business Data Cloud is redefining decision-making today and shaping the future of the intelligent enterprise.

Irfan Khan is president and chief product officer for 麻豆原创 Data and Analytics.

However, the pace of change has made traditional approaches, like best-of-breed point solutions, no longer sufficient to help finance teams keep up.

That is why the future of finance technology should act as an orchestra, not disjointed soloists.

Finance teams require a unified experience where applications, data, and AI work seamlessly together. With 麻豆原创 Business Suite, these elements come together as one orchestra, enabling finance to operate in harmony and deliver outcomes that point solutions alone cannot achieve. This means not only faster close and stronger liquidity, but also tighter compliance and credible plans that hold up under change.

To strengthen collaboration across finance and bring innovation to the CFO鈥檚 office, 麻豆原创 unveiled Joule鈥檚 next stage as the AI force at the center of 麻豆原创 Business Suite鈥檚 value creation. A new generation of role-aware assistants in Joule are designed to partner with people in their specific business roles by tapping into the right agents behind the scenes for the job. For finance professionals, 麻豆原创 introduced the next round of automation support using agentic AI.

麻豆原创 is embedding AI-powered reasoning directly into finance processes to automate routine work and elevate the strategic role of finance with the following new agents:

• The Accruals Agent will calculate accruals and deferrals based on system data and present the accountant with a proposal for review, along with a detailed explanation of the calculation logic.
• The Cash Management Agent will automate daily bank statement reconciliation tasks and recommend opportunities for optimization.
• The International Trade Classification Agent will reason over product characteristics and trade regulations and act to classify goods for international shipping, recommending customs tariff numbers and commodity codes

By bringing automation to critical but repetitive finance processes, these agents underscore 麻豆原创鈥檚 commitment to equipping the office of the CFO with AI-driven innovation that strengthens resilience in an increasingly complex business environment.

Finance as the conductor of the enterprise

The role of the CFO has expanded far beyond closing the books or reporting quarterly earnings. Today, finance teams are expected to bring together data, processes, and people from the entire business to enable seamless collaboration.

With 麻豆原创鈥檚 AI-first, suite-first approach, applications and data flow seamlessly, allowing finance leaders to coordinate business operations with confidence. This unified foundation ensures that insights are not siloed, but instead shared across the enterprise, enabling faster and smarter decisions.

Take working capital management, one of the biggest pressure points for finance leaders: A recent of 480 CFOs found confidence levels were strong in almost all areas, including revenue, profit, and customer retention, but only 36 percent felt confident in their ability to achieve working capital targets. 麻豆原创 Business Suite can help organizations meet their targets by automating manual work and enabling actionable decisions — all by leveraging dynamic, autonomous, and action-oriented solutions in 麻豆原创 Business Suite.

When an organization manages incoming receivables, outgoing payables, as well as cash and inventory within 麻豆原创, that connected experience creates data that provides real-time visibility into liquidity through 麻豆原创 Business Data Cloud.听 That data fuels 麻豆原创 Business AI to analyze situations, recommend actions, and even resolve issues like disputed invoices automatically, which would otherwise slow the cash collection process. And with the integration of Joule and intelligent agents, 麻豆原创 Business AI not only automates, it senses, reasons, orchestrates, and acts 鈥� turning insights into outcomes that free capacity and accelerate the business.

As AI agents take on more of the behind-the-scenes work, finance professionals can step fully into their role as the conductor of the enterprise. They can guide strategy with foresight, aligning every function in harmony and shaping outcomes that extend far beyond revenue or cost goals.

CFOs and their teams can then move beyond reactive decision-making toward shaping strategy in real time. This will position their office as a driver of growth, resilience, and innovation.

Looking ahead

麻豆原创 is laying the foundation for a new era of autonomous finance, where routine processes are automated, insights are delivered in real time, and finance teams are empowered to focus on strategy and growth.

These innovations mark just the beginning of 麻豆原创鈥檚 commitment to helping businesses navigate an increasingly complex financial landscape with agility, intelligence, and confidence.

Lawrence Martin is chief product officer and head of Public Cloud Engineering at 麻豆原创.
David Imbert is head of Finance Product Marketing at 麻豆原创.

In times of uncertainty, spend is one of the levers companies can actively control. Leaders are expected to deliver not only savings, but also resilience, sustainability, and risk-aware processes.

At , we introduced several new AI capabilities to bring more automation, deeper integration, and smarter insights across our . These innovations are focused on improving outcomes: reducing risk, strengthening supply chains, increasing productivity, and freeing people to focus on higher-value work. They ensure spend continues to fulfill its elevated role as a driver of business growth and resilience while helping customers stay ahead of evolving demands.

Next-gen 麻豆原创 Ariba brings deeper AI integrations and new AI assistants in Joule

麻豆原创 is rolling out the next generation of solutions for source-to-pay to automate the power of procurement, improve cost savings, ensure compliance, and build supply chain resilience. Next-gen 麻豆原创 Ariba is the world’s most modern source-to-pay solution designed to power the future of procurement.

The first AI-native source-to-pay suite redefines what is possible today and sets the course for the future. With businesses facing ever-present change, our customers can take advantage of a solution that’s built to endure — intelligent, integrated, and scalable. The capabilities delivered as part of next-gen 麻豆原创 Ariba will empower businesses to tackle today’s challenges and excel in the future.

Next-gen 麻豆原创 Ariba is built on 麻豆原创 Business Technology Platform (麻豆原创 BTP), and has a completely redesigned user experience, embedded analytics, and seamless integration with 麻豆原创 Cloud ERP public and private applications.

The advanced capabilities and benefits of next-gen 麻豆原创 Ariba solutions offer the following:

• Accelerated value realization: Faster adoption with intuitive interfaces and guided workflows
• Deeper insights: Actionable analytics that translate into tangible savings and operational improvements
• Empowered teams: A more productive experience for procurement professionals

Next-gen 麻豆原创 Ariba capabilities will be rolled out starting in Q1 2026.

麻豆原创 also introduced new agentic and generative AI capabilities across the 麻豆原创 Ariba suite to help organizations optimize productivity and decision-making. Planned for release in Q1 2026, a new Joule Agent for bid analysis automatically compares supplier bid data, including total cost, to give procurement teams insight and recommendations for award decisions.

麻豆原创 also added three AI features to the 麻豆原创 Ariba procurement portfolio:

• AI supplier-response summary will use to help review, analyze, and summarize supplier responses to questionnaires, helping procurement specialists make more informed decisions. This is planned to be generally available in Q1 2026.听
• Joule for simplified invoice creation will help employees outside accounts payable to easily submit invoices from for processing with minimal input. The feature will be generally available in Q4 2025.
• Intelligent contracting will use Joule to automatically extract key information, generate summaries, and search historical contracts for discrepancies and compliance issues. This feature will be generally available in Q4 2025.

As part of the broader 麻豆原创 Ariba portfolio, is now globally available. The solution provides a single-entry point for all procurement requests to simplify intake, improve compliance, and give employees full visibility into status updates. With Joule, users can easily submit requests or follow guided steps, while the system orchestrates processes across 麻豆原创 and non-麻豆原创 systems.

Learn more at our upcoming webinar, on November 20, 2025. to see how organizations can streamline intake processes and drive meaningful results.

New AI enhancements in 麻豆原创 Fieldglass connect the right external talent to the right roles

New AI enhancements to the portfolio make it easier to match potential external workers with available positions by automatically analyzing role descriptions to determine the skills required for each position.

The new skills-based hiring feature automatically analyzes role descriptions to determine the skills required for each position, reducing the time to source potential candidates by up to 50 percent. By accelerating candidate matching, organizations can count on a faster, more cohesive, and efficient hiring process.

This feature is generally available and works in conjunction with existing AI features, including resume analysis and job description creation.

麻豆原创 Concur and American Express Global Business Travel make business travel easier, smarter and more impactful for organizations everywhere

with American Express Global Business Travel (Amex GBT). Complete by 麻豆原创 Concur and Amex GBT is a co-developed solution that will combine booking, servicing, payments, and expensing into one experience with AI at its core. The solution will benefit from 麻豆原创 Concur and Amex GBT technology and business travel expertise. Complete customers will also have access to Amex GBT鈥檚 unmatched marketplace, software, and services via Complete, offering greater incentives and cost savings.

Smarter AI for travel and expense management in 麻豆原创 Concur

We also introduced new AI capabilities for that will streamline reporting, strengthen fraud prevention, and simplify travel planning, helping organizations better control costs while improving the employee experience.

These innovations include:

• The Receipt Analysis Agent, a newly embedded Joule Agent in , will go beyond basic receipt scanning, automatically completing missing information, determining expense types, and verifying vendor details, even for unknown vendors, to deliver accurate results without iterative learning. General availability for these features is expected for Q4 2025.
• , the automated expense-audit service from 麻豆原创 Concur now features an AI-generated receipt checker that flags receipts likely created by AI or online generators, helping auditors stop fraudulent claims. The service is currently generally available.
• A new pre-spend planner tool uses generative AI to estimate trip budgets based on policies and itineraries, while also providing relevant travel advisories to keep travelers informed. General availability is planned for early 2026 and Concur Expense customers can take advantage of the pre-spend planner at no extra cost. It will be available to Concur Travel customers later in the first half of 2026

Partnerships and integrations

麻豆原创 Concur has enhanced its integration with to further automate how ride and meal expenses are processed, providing better visibility to executives and business users. Ride and meal receipts are automatically routed into , with detailed tax, tip, and itemization data, resulting in cleaner data, fewer manual corrections, and faster reimbursement.

Looking ahead

麻豆原创鈥檚 latest innovations across procurement, external workforce, and travel and expense help customers achieve positive outcomes such as cost savings, reducing risk, strengthening supply chains, creating value, improving productivity, and freeing people up to do higher-value work.

Etosha Thurman is chief marketing officer for 麻豆原创 Finance and Spend Management.

麻豆原创鈥檚 latest customer experience solutions are built to deliver on these expectations, empowering organizations to earn loyalty, drive growth, and create seamless, connected experiences.

In today鈥檚 market, loyalty and retention are the twin engines of repeatable business, the lifeblood of every organization. Earning and keeping customer trust has always been hard-won, but the bar is higher than ever. Recent findings from the show a five-point drop in 鈥渢rue loyalty,鈥� customers who return without incentives. Only 35 percent of B2B customers reach strategic loyalty, defined as repeat purchases and long-term engagement. And nearly one-third of customers are lost to fragmented experiences. Brands now face a new reality: building lasting loyalty requires understanding customers and delivering consistent, connected experiences across every touchpoint.

Meeting the loyalty challenge: 麻豆原创 Engagement Cloud and 麻豆原创 Customer Loyalty Management

To help customers meet this challenge, 麻豆原创 has created two powerful solutions: and .

Yesterday at 麻豆原创 Connect 2025, 麻豆原创 Executive Board Member Muhammad Alam shared the vision for 麻豆原创 Engagement Cloud. Powered by 麻豆原创 Business Data Cloud, it transforms fragmented interactions into AI-driven journeys across marketing, commerce, sales, and service鈥攕trengthening loyalty, deepening relationships, and driving business growth. By connecting every customer touchpoint to real operational data鈥攆rom logistics and finance to supply chain鈥攂rands can deliver accurate delivery estimates, relevant offers, and timely service that reflects actual inventory and fulfillment capacity.

With Joule and embedded AI, 麻豆原创 Engagement Cloud accelerates campaign execution, automates decisions, and scales personalization鈥攅nsuring every interaction is consistent, connected, and meaningful. This comes at a critical time, as according to the 麻豆原创 Emarsys Customer Loyalty Index, only 35 percent of B2B customers achieve strategic loyalty.听Replacing disconnected systems and outdated engagement models, 麻豆原创 Engagement Cloud makes engagement a strategic advantage, uniting data and AI to deliver smarter experiences across the 麻豆原创 ecosystem. Beta begins November 2025, with general availability in Q1 2026.

麻豆原创 Customer Loyalty Management empowers teams to deliver personalized experiences at scale by giving every customer a single loyalty profile, no matter the brand, region, or partner. With loyalty data unified and natively integrated into 麻豆原创 Private Cloud ERP and 麻豆原创 Business Suite, teams can instantly monitor promotions, track reward usage, and understand financial impact in real time. This actionable insight feeds directly into planning, forecasting, and supply chain decisions, enabling businesses to adapt quickly and serve customers better.

Loyalty isn鈥檛 a separate marketing project, it鈥檚 woven into daily business operations. By centralizing loyalty data, 麻豆原创 Customer Loyalty Management helps organizations understand each customer deeply and deliver consistent, connected experiences across every touchpoint.

The solution will be available Q4 2025.

AI and intelligence: the next imperative

At 麻豆原创 Connect, we introduced how Joule, 麻豆原创鈥檚 AI copilot, is transforming customer experience by embedding intelligence directly into 麻豆原创 Business Suite. Joule is not another layer, it鈥檚 built into the foundation, enabling smarter decisions and faster execution across every customer moment.

AI assistants in Joule bring role-based intelligence to customer-facing teams across service, sales, marketing, and commerce. Each assistant is tailored to the user鈥檚 role and business context, coordinating a network of AI assistants within Joule to automate tasks like resolving cases, chasing invoices, optimizing catalogs, and surfacing insights. This orchestration enables teams to focus on driving outcomes rather than managing operations.

For instance, Digital Service Agent delivers fast, multilingual support by reasoning over customer context and company knowledge. It provides accurate answers, escalates when needed, and continuously improves, reducing manual workload and enhancing customer satisfaction. This is available now.

Deep research in Joule

With deep research in Joule, account planning moves beyond quick answers, delivering deep, strategic research and analysis in a single, connected experience. By tapping into 麻豆原创 data, external intelligence, and trusted resources, users get richer insights for any business need.

Sales leaders and chief revenue officers can use the new account planning that leverages deep research in Joule to compress weeks of manual work into days. It synthesizes customer history, identifies key drivers, and drafts account plans, giving sales teams a complete, real-time view of every relationship.

Deep research in Joule will be available in beta December 2025.

Intelligent applications for customer experience

麻豆原创 Business AI also powers that help businesses turn data into action:

• Revenue Intelligence brings together data from CRM, commerce, and ERP to surface pipeline risks, customer health, and sales performance. Sales leaders and chief revenue officers gain a unified, real-time view to strengthen pipelines, improve win rates, and accelerate profitable growth.
• Consumer Products Intelligence enables manufacturers and consumer packaged goods companies to optimize trade promotions and customer-facing offers. Integrated with and , it uses real-time data from sales, supply chain, and production to analyze margins, monitor performance, and support financial planning, ensuring CX strategies are aligned with operational realities.

These innovations are tightly integrated with 麻豆原创 Business Suite, ensuring every CX insight is grounded in real-time, harmonized data. They are currently in restricted private preview and expected to be generally available in H1 2026.

Adoption that drives value

Building on the Customer Loyalty Index findings about the importance of connected experiences, seamless, guided adoption is essential to delivering value. That is why is now embedded across all 麻豆原创 Customer Experience solutions.

WalkMe is a digital adoption platform that provides real-time, role-based guidance 鈥� right inside 麻豆原创 interfaces. No IT tickets required. Teams get help in the flow of work, with step-by-step instructions that minimize onboarding time and reduce errors. Leaders gain instant visibility into where users struggle, so they can address friction and accelerate adoption.

The path forward

Loyalty is evolving, and so are we. Our priority is to help brands earn trust and adapt quickly.

The 麻豆原创 Customer Experience innovations introduced at 麻豆原创 Connect are designed for this challenge. They connect engagement with execution through solutions like 麻豆原创 Engagement Cloud, Revenue Intelligence, and 麻豆原创 Customer Loyalty Management; turn intelligence into action with embedded AI and automation; and give teams unified, real-time data to deliver measurable results and stay ahead in a rapidly changing market.

See how your business measures up in the and the . .

Balaji Balasubramanian is president and chief product officer for 麻豆原创 Customer Experience.

At the same time, there is a huge opportunity to entirely re-think supply chains with AI and agentic workflows as the powerful transformation agents of the next decade. The lesson is clear: companies that invest in AI-driven applications and reliable data and re-think processes maintain continuity and customer trust, while others risk prolonged shocks, lower service levels, increased cost, and lost revenue.

Today at Supply Chain Connect at 麻豆原创 Connect, we are building on the phenomenal momentum of AI-driven supply chain transformations with innovations designed to help supply chain leaders not just endure disruption, but transform it into an opportunity for resilience and growth.

Introducing 麻豆原创 Supply Chain Orchestration

In today鈥檚 dynamic market, foresight and a reduced time-to-recover are everything. Business leaders must know where their products are, which suppliers or sub-suppliers are at risk, and how to respond with confidence. Yet, visibility gaps often leave organizations blindsided.

is a new AI-centric solution built to detect potential disruptions early, contextualize risk to a company鈥檚 unique supply chain configuration, apply intelligent impact analysis, and trigger AI-driven actions across planning, logistics, procurement, and manufacturing. Soon, supply chain stakeholders will be supported by powerful Joule assistants that leverage AI agents to strengthen supplier compliance, increase customer service, and reduce revenue exposure.

What sets 麻豆原创 Supply Chain Orchestration apart is its foundation on . The solution integrates data from and , providing a comprehensive view across every tier of the supply chain. These multi-tier insights help turn external and internal risk signals into prioritized actions, boosting operational efficiency, compliance, and customer satisfaction.

Set to be available in the first half of 2026, 麻豆原创 Supply Chain Orchestration is the next step toward a future where businesses can anticipate global shifts before they escalate with a severe business impact.

Advanced AI capabilities and unified scenario simulations optimize supply chain planning

麻豆原创 is enabling its customers to reimagine supply chain planning to become faster, smarter, and more connected with . This evolution of the product combines intelligent automation, a harmonized data model, and AI-driven capabilities to enhance forecasting, streamline processes, and help planners focus on critical decision making.

A harmonized planning area now supports both time-series and order-based planning, allowing users to move seamlessly among strategic, tactical, and operational levels, which ultimately enables seamless telescopic planning. New harmonized scenario simulations reveal the impact of alerts and risks to orders across all planning horizons. Embedded AI strengthens forecasting and inventory management, while characteristic-based planning adds right-fidelity supply planning to optimize stock and capacity matching for critical industries such as fashion retail, high-tech, life sciences, or consumer products.

The new Configurable Planner Workspace provides a unified interface where planners can monitor performance, simulate scenarios, and act immediately 鈥� guided by , 麻豆原创鈥檚 copilot, which delivers contextual assistance and actionable insights from forecasts, supply plans, and multi-echelon inventory.

AI capabilities are currently in beta mode and planned for general availability in Q2 2026, while all other enhancements are now generally available.

New Joule Agents accelerate decisions and automation across the supply chain

麻豆原创 introduces three new听听for supply chain management, designed to automate critical, time-consuming tasks and empower teams to focus on strategic decision-making. These agents embed AI-native automation directly into 麻豆原创 Cloud ERP, 麻豆原创 Cloud ERP Private, and 麻豆原创 Business Network workflows, reducing manual effort and minimizing errors.

• Production Planning and Operations Agent: Automates prerequisite checks for releasing production orders, validates material, capacity, and scheduling, and can recommend workarounds or release orders instantly 鈥� shortening order-to-delivery cycles and reducing costs. General availability is planned for Q1 2026.
• Change Record Management Agent: Supports product managers and engineers by reasoning over problem reports and change requests, recommending next steps, and initiating changes, which improves governance, traceability, and decision speed. General availability is planned for Q2 2026.
• Supplier Onboarding Agent: Streamlines onboarding in 麻豆原创 Business Network by reasoning over supplier details, orchestrating invitations, validating data, and handling escalations, which enables procurement teams to scale faster while focusing on strategic supplier development.

With these agents, 麻豆原创 is embedding intelligence deeper into day-to-day supply chain workflows, accelerating decisions where they matter most.

Upgrading 麻豆原创 Business Network to meet customer needs

Global commerce is more interconnected than ever, but too many organizations still operate with fragmented procurement and logistics processes. 麻豆原创 is introducing upgrades to 麻豆原创 Business Network, the world鈥檚 largest B2B platform, facilitating over US$6.3 trillion in annual commerce across 190 countries.

• Availability on 麻豆原创 BTP: 麻豆原创 Business Network now runs on 麻豆原创 BTP, providing a modern data foundation and enabling organizations to coordinate deals at scale. It connects easily across 麻豆原创 and third-party systems, introduces a unified global directory with guided onboarding, and offers workflow customization through 麻豆原创 Build. Joule integration will be available in January 2026, bringing embedded AI to analytics, automation, and approvals across the network.
• Network-centric integration across the business suite: Rolling out later this year, 麻豆原创 Business Network will support end-to-end value streams with 麻豆原创 Cloud ERP, 麻豆原创 Ariba, 麻豆原创 Fieldglass, and 麻豆原创 Transportation Management. This will accelerate dispute resolution, improve emissions tracking, and enable AI-assisted navigation.
• Simplified supplier data access: By Q4 2025, users will be able to search for suppliers directly from their ERP interface, eliminating manual onboarding. Buyers will gain faster access to new vendors, reducing activation costs and expanding visibility.

Together, these innovations enhance 麻豆原创 Business Network with intelligence, reach, and usability 鈥� delivering embedded AI, seamless business suite integration, and ERP-native supplier discovery.

麻豆原创 launches new logistics management solution

麻豆原创 is announcing , a new cloud-native solution designed to complement operations of large distribution centers with capabilities to support smaller, local, and regional warehouses. This will help establish multi-tier distribution networks that strengthen resilience and increase delivery speed.

Fully connected to 麻豆原创 Cloud ERP Private and 麻豆原创 Business Network for Logistics, the solution centralizes inventory, shipments, and partner coordination. Unlike standalone tools, it extends ERP capabilities directly to satellite warehouses, drastically reducing manual tasks and ensuring consistency across networks.

Built-in AI capabilities guide operational decisions, eliminating silos and strengthening collaboration across logistics ecosystems. 麻豆原创 Logistics Management will be available in Q1 2026.

Doehler, a global producer of technology-driven natural ingredients for the food, beverage, and nutrition industry, will leverage the solution in its warehouses to manage its production sites, samples and spare parts.

鈥溌槎乖� Logistics Management is set to deliver lean process automation and accelerated transformation for most of our more than 50 production sites, sampling operations and technical warehouses,鈥� said Dr. Michael Merget, Chief Operating Officer of Doehler Group. 鈥淲e see its powerful, integrated AI capabilities not as an add-on, but as the core intelligence that will define the future of our logistics.鈥�

Looking ahead

Resilient, intelligent, and collaborative supply chains are no longer aspirations 鈥� they are necessities. Together, these innovations reflect 麻豆原创鈥檚 vision for a fully orchestrated supply chain. The next generation of supply chain technology will empower businesses to detect disruptions early, harness data at scale, and consistently exceed customer expectations. By leading with intelligence and foresight, companies can transform crises into opportunities and position themselves to thrive in a world defined by uncertainty.

For more details on all announcements made this week, please refer to the .

Dominik Metzger is president and chief product officer for 麻豆原创 Supply Chain Management.

According to new research from 麻豆原创, employees using AI are saving 75 minutes a day 鈥� time that鈥檚 being reinvested into innovation, connection, and impact. 

But with economic volatility, shifting regulations, and a global skills crunch, organizations face a critical challenge: how to connect their people and their business in ways that drive agility, resilience, and growth. This isn鈥檛 just a moment of change; it鈥檚 a moment of unprecedented possibilities.

Unlocking new possibilities with 麻豆原创 SuccessFactors

is powering that transformation with trusted intelligence, operational strength, and innovations that turn disruption into advantage.听With over 10,000 customers worldwide, we are privileged to work with the world鈥檚 leading brands and help them guide their people and their organizations through change.听

The 麻豆原创 SuccessFactors HCM suite is a robust offering that connects all the pieces for an organization鈥檚 people strategy 鈥� from core HR and payroll, to talent acquisition and talent management, to people analytics, and beyond. 麻豆原创 Business AI is infused across our HCM suite, and 麻豆原创 Business Technology Platform (麻豆原创 BTP) enables our customers to expand and extend to meet their needs.听

We are constantly investing in our solutions based on market signals, ensuring our customers have the tools they need to stay at the forefront of innovation. 

Today at Success Connect at 麻豆原创 Connect in Las Vegas, designed to elevate the employee experience, optimize operations, and deliver actionable workforce insights. 

Elevating the employee experience  

New Joule Agents  

Agentic AI is redefining the employee experience and transforming the way work gets done by automating routine tasks, accelerating decision-making, and unlocking new levels of productivity. Joule, 麻豆原创鈥檚 AI copilot, is embedded into enterprise-wide applications to deliver real-time intelligence and automation through a simple conversational interface.  

Joule currently supports 80 percent of the most-used tasks in 麻豆原创 systems, and we are continuously expanding its capabilities. Joule is available in 11 languages, and next month the first HR-focused Joule Agent 鈥� the Performance and Goals Agent 鈥� will be generally available, with many more to follow. This agent is designed to empower managers to lead high-impact performance conversations by providing tailored insights, goal progress updates, and personalized talking points.

We鈥檒l continue to release new agents that will continue to work behind the scenes to make managers, employees, and HR teams more efficient. Today, we announced the next four听agents, available in 麻豆原创 SuccessFactors in the first half of 2026:听

• The Career and Talent Development Agent, which automates succession planning and helps managers identify and develop future leaders
• The HR Service Agent, which serves as a direct point of contact for employees and reduces the amount of time HR staff spend answering routine questions
• The Payroll Agent, which helps employees better understand their pay by combining paycheck details with time data, enabling intelligent 鈥渆xplain pay鈥� scenarios such as highlighting unexpected overtime and suggesting follow-up actions
• The People Intelligence Agent, which connects the People Intelligence Insight application in 麻豆原创 Business Data Cloud with Joule and 麻豆原创 SuccessFactors, allowing managers and HR teams to ask questions in their own words and receive intuitive, accessible workforce analytics

Introducing the workforce knowledge network

Building on these new capabilities, we are also introducing a workforce knowledge network, a first-of-its-kind integration that brings third-party content from industry experts directly into Joule, delivering enhanced insights for employees.鈥� This is a major step forward in enabling agent-to-agent interaction in order to deliver the most relevant information in one seamless experience.

Content from leading HCM industry experts from G-P (Globalization Partners) and The Josh Bersin Company will flow directly into Joule. These integrations allow Joule to ingest third-party content and interact with various agents so employees can receive guidance that is grounded in real-world insights and trusted research.

For example, HR leaders can access G-P Gia, an HR agent developed by G-P, directly within Joule, providing access to expert global employment guidance. Additionally, they can ask Joule, 鈥淲hat are best practices for hiring engineers in a high-cost location?鈥� and Joule can respond with research-backed insights and recommendations provided by Galileo, a trained AI agent developed by The Josh Bersin Company, with over 6,000 users across more than 800 companies.

鈥淛oule offers a revolutionary technology to speed and simplify the lives of every business person,鈥� said Josh Bersin, CEO of The Josh Bersin Company. 鈥淲e are very excited to connect Galileo, a leading AI agent for HR, to all 麻豆原创 users and give them deep insights into all their human capital decisions.鈥� 

Optimizing Operations

Innovations in Core HR

Operational strength is the backbone of every great employee experience; it enables scale, consistency, and confidence, especially in times of change. That is why we continue to invest deeply in core HR.

With localization support across 104 countries and usage in 179, remains the industry鈥檚 most trusted foundation for global HR operations. And today we have announced that it鈥檚 getting even stronger:

• New
  Early adopter January 2026
  This new solution enables shift planners and supervisors in manufacturing and production to create smarter schedules aligned with real-time business demand and required skills, reducing administrative burden, helping to prevent costly overstaffing and understaffing, and maintaining compliance.
• New enhanced time-off capabilities in 麻豆原创 SuccessFactors Employee Central
  Generally available next month
  This enhancement allows our customers to meet country-specific and complex leave regulations in markets including but not limited to Australia, Germany, and the U.S., helping them stay compliant while simplifying processes for managers and employees.
• 
  Generally available now
  Announced earlier this year, our new HR service delivery solution extends the power of core HR by automating workflows, streamlining service requests, and freeing HR teams to focus on high-value, strategic work.

Delivering best-in-class insights

People Intelligence

Operational excellence lays the groundwork, but true transformation happens when data becomes insight. That is where comes in. in People Intelligence announced at 麻豆原创 Sapphire in 2025 are now generally available. People Intelligence transforms people, skills, and business data into actionable, AI-driven insights that help HR and leaders make better, more strategic decisions for the business and its people.鈥�

At Success Connect, we unveiled additional prebuilt insights for recruiting, learning, succession, career development planning, and performance and goals management. People Intelligence continues to expand, with more prebuilt insights for rewards and recognition, benefits, time management, and onboarding planned for May 2026. 

SmartRecruiters

麻豆原创 is also advancing the way organizations attract, recruit, and hire top talent. Last month, we acquired SmartRecruiters to build the future of AI-driven talent acquisition. At Success Connect, we showcased how this move strengthens our vision. By combining the scale of 麻豆原创 SuccessFactors, the power of 麻豆原创 Business AI, and the expertise of SmartRecruiters, we鈥檙e delivering an intelligent, end-to-end global hiring solution that simplifies recruiting and ensures every hire is aligned to business and workforce goals.

Where innovation meets impact 

Innovation in HR has entered a new era that is defined by connection. By uniting people, processes, and intelligence, organizations can move beyond incremental change to unlock unprecedented possibilities for impact, agility, and growth. With continuous advancements in AI, a trusted global foundation, and intelligence-driven insights, 麻豆原创 SuccessFactors is helping organizations meet today鈥檚 challenges head-on and shape the future of work with confidence.

To catch our Success Connect keynote replay and learn more about the latest innovations in 麻豆原创 SuccessFactors, .

Dan Beck is general manager and chief product officer for 麻豆原创 SuccessFactors.

麻豆原创 reimagines enterprise AI with role-based assistants in
Joule that coordinate agents across lines of business

LAS VEGAS 鈥� At its inaugural 麻豆原创 Connect event, (NYSE: 麻豆原创) showcases how the integration of AI, data and applications creates unparalleled business value.

These breakthroughs 鈥� including a new network of role-based assistants in Joule that partner with humans to elevate performance, an expanding data ecosystem that drives deeper insights and supply chain software that anticipates disruptions 鈥� once again revolutionize how business gets done.听

“To thrive when volatility is the new normal, businesses need more than a patchwork of disparate best-of-breed applications,” said Muhammad Alam, member of the Executive Board of 麻豆原创 SE, 麻豆原创 Product & Engineering. “Our announcements today demonstrate the power of 麻豆原创 Business Suite, where AI, data and applications come together in an experience to propel smarter decisions, faster execution and scalable transformation.”

AI that Partners with People

麻豆原创 unveils Joule鈥檚 next stage as the AI force at the center of 麻豆原创 Business Suite鈥檚 value creation. Drawing on the applications and data from across 麻豆原创 Business Suite, 麻豆原创 is introducing a new generation of role-aware assistants in Joule. Each assistant is designed to partner with a human being in their specific business role. Assistants in Joule tap into the right agents for the job, configuring, orchestrating and managing them so humans can focus on unlocking new levels of insight and productivity.

Supporting the assistants in Joule is a , designed to help execute complex workflows within a specific function. For instance, a People Manager Assistant coordinates a team of specialized agents — including the new People Intelligence Agent, which helps spot and resolve issues like compensation anomalies — to support managers as they drive performance. A new Financial Planning Assistant will be aided by a group of expert agents — including the new Cash Management Agent, which optimizes cash flow and improves interest yields — to help finance professionals drive efficiencies. This new roster of role-aware AI assistants not only partner with people to elevate performance in their lines of business but also work together across business functions to solve complex enterprise-wide problems.

Data that Defies Boundaries

Data fuels AI鈥檚 transformative power but it鈥檚 often siloed in different systems. At 麻豆原创 Connect, we are removing those barriers with 麻豆原创 Business Data Cloud Connect. 麻豆原创 BDC Connect securely links 麻豆原创 BDC with partner platforms to enable a bidirectional flow of business-ready data products across organizational and technological boundaries.

With zero-copy sharing, data stays securely in 麻豆原创 systems yet remains instantly accessible in customers鈥� existing data platforms, preserving business context without costly copies. The result: fewer silos, simpler pipelines, no duplication — just trusted data products where and when they鈥檙e needed.

麻豆原创 also announced that Databricks and Google Cloud are the first partners enabled for 麻豆原创 BDC Connect, with more to follow. As announced in February 2025, 麻豆原创 Databricks remains a data service within 麻豆原创 Business Data Cloud, and 麻豆原创 BDC Connect extends its benefits across an open data ecosystem. These partnerships give customers faster access to data products for analytics and AI, helping teams move from raw data to real-time business outcomes with greater speed and simplicity.

Applications that Turn Data into Action

At the heart of 麻豆原创鈥檚 unique value proposition are enterprise applications where data is created and AI-driven insights are experienced. 麻豆原创 Supply Chain Orchestration is a new AI-native solution that combines the power of Joule with a live knowledge graph to detect real-time risks several suppliers deep and orchestrate a coordinated response, helping customers cut costs and keep supply chains moving. 麻豆原创 Engagement Cloud, a new customer experience solution, uses business-critical context to personalize interactions across customers, suppliers and other stakeholders. And our next-generation 麻豆原创 Ariba procurement suite stands out as an AI-native solution, bringing intelligence to every stage of spend management, from sourcing through supplier engagement.

Altogether, these 麻豆原创 Business Suite innovations mark the beginning of a new era powered by self-reinforcing AI, data and applications that drive intelligence, speed and resilience.

Visit the . Get 麻豆原创 news via  and .

About 麻豆原创

As a global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创) stands at the nexus of business and technology. For over 50 years, organizations have trusted 麻豆原创 to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
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By connecting Google BigQuery, the autonomous data to AI platform with agentic capabilities, and 麻豆原创 and Google aim to help enterprises of all sizes gain more immediate access to trusted, business-ready data for enterprise analytics and AI across their platforms.

For decades, enterprise data and analytics have existed in separate worlds. Mission-critical business data, rich with semantic context, has been locked within transactional systems. Traditional extract, transform, load (ETL) processes create data replicas that are difficult to govern, quickly become stale, and prevent businesses from acting on real-time insights, ultimately hindering digital transformation.

Our 麻豆原创 and Google partnership ends this compromise. By eliminating data replication and unifying the data landscape, 麻豆原创 and Google Cloud are empowering businesses to build intelligent agents, automated workflows, and predictive insights that are directly grounded in live, trusted business information.

As the first hyperscaler to adopt 麻豆原创 BDC Connect, 麻豆原创 BDC Connect for Google BigQuery enables organizations to unlock the true potential of their data and applications with secure and rapid access to 麻豆原创鈥檚 semantically rich and governed data products at scale, without the delays and complexities of data replication and need for ETL pipelines. Customers can flexibly combine 麻豆原创 data with their other enterprise data in BigQuery and vice-versa to innovate with leading analytics and agentic AI capabilities.

鈥溌槎乖� and Google Cloud have a long history of empowering global enterprises to harness the power of data and AI,鈥� said Christian Klein, CEO of 麻豆原创 SE. 鈥淏ringing together Google BigQuery and 麻豆原创 Business Data Cloud gives our customers choice without compromise, enabling them to fast-track their analytics and AI initiatives.鈥�

鈥淏usinesses are combining intelligence and automation into every aspect of their operations,” said Thomas Kurian, CEO of Google Cloud. 鈥淏y uniting 麻豆原创 Business Data Cloud with BigQuery and Gemini models, we鈥檙e making it easy for enterprises to build a unified data foundation that breaks down silos and unlocks a new class of AI agents and applications.鈥�

Innovation with 麻豆原创 data products and Google BigQuery

The centerpiece of this partnership is the new 麻豆原创 Business Data Cloud Connect for Google BigQuery. This is a zero-copy data fabric that enables seamless access to 麻豆原创 BDC鈥檚 semantically rich business data with Google鈥檚 powerful data and AI ecosystem, including Gemini models and the Vertex AI platform. The result is a modern platform for data, analytics, and AI that enables automated, cross-functional business processes.

This bi-directional integration helps to deliver an enterprise-grade offering for building and scaling AI. With 麻豆原创 Business Data Cloud Connect for Google BigQuery, customers can:

• Build grounded, trustworthy AI: Ensure the Google BigQuery AI models and agents operate on the most current and complete view of the business by accessing trusted semantically rich 麻豆原创 data in real-time without copies.
• Deploy autonomous agents: Build and deploy intelligent agents using Google Cloud鈥檚 Vertex AI and Gemini that can automate complex cross-functional processes鈥攆rom supply chain optimization to financial forecasting.
• Unleash deeper insights: Fuse 麻豆原创 data through 麻豆原创 BDC with unique, world-scale datasets only available on Google Cloud, like Google Maps geospatial data, Google Trends, and public datasets, to create unparalleled business context.
• Reinvent analytics: Move beyond dashboards and reports. Enable anyone in the organization to ask complex questions on Google Cloud of their business data in natural language and get immediate, intelligent answers.

Availability

Google Cloud will offer customer and partner incentives that fast-track the adoption of these joint solutions, enabling an accelerated journey to AI-infused data transformations.

麻豆原创 Business Data Cloud is available today in Google Cloud regions across Asia Pacific, Europe, and the U.S., with more regions planned. 麻豆原创 Business Data Cloud Connect for Google BigQuery is planned to be generally available in H1 2026.

In addition, 麻豆原创 BW, private cloud edition, which is offered through 麻豆原创 BDC, is supported in more than 40 Google Cloud regions, helping our customers meet critical data residency and compliance requirements.

On top of that, you know AI agents are the new frontier and will allow you to automate processes that today absorb a large amount of time and resources. You want to know how to be among the first to use them to gain an early advantage.

To get these answers and discover how 麻豆原创 is uniquely positioned to help you leverage AI for business results, attend in 2025, being held October 6-8 in Las Vegas as well as virtually. It鈥檚 the destination for leaders ready to embed the latest from AI into the foundation of how their organizations run to produce real, enterprise-wide outcomes.

Learn how to become a leader in the era of AI

According to Boston Consulting Group, which the relatively small number of companies already scaling these advanced technologies, “AI鈥檚 greatest value lies in core business processes where leaders are generating 62% of the value. Leveraging AI in both core business and support functions gives these companies a competitive advantage.”

This is exactly our approach and position of strength at 麻豆原创. We infuse AI directly into the business processes, decisions, and data models that power finance, supply chain, HR, customer service, and more. That’s also how are enabling systems that anticipate needs, reason, act and learn and adapt in real time. And because these tools are built on (麻豆原创 BTP), they operate with the scale, security, and interoperability that enterprises demand.

麻豆原创 Connect is where this vision comes to life. Over three days, the program will move from strategic framing to hands-on guidance, tailored to every role in an organization, and with each day anchored on specific business needs.

An agenda focused on moving your business forward

Day one at 麻豆原创 Connect addresses strategy: how to turn geopolitical and market volatility into a catalyst for growth, unify your organization through shared data and synchronized purpose, and elevate your workforce with AI. Our will show you how to navigate uncertainty by leveraging enterprise-wide data capability, Joule Agents, and 麻豆原创 Business Suite to turn insight into action鈥攃reating a sustained advantage for your enterprise.

Day two focuses on how to use our latest innovations across 麻豆原创 Business Suite applications to bring AI-driven results to life within your enterprise, plus practical road maps across your lines of business.

Day three is about execution: how to leverage 麻豆原创 BTP and a unified data core to activate agile technologies, build interconnected ecosystems, and accelerate returns on innovation. Our will show you how to use a unified foundation to smoothly extend, integrate, automate, and innovate while leveraging AI and data to transform your company.

The core theme across all three days is how to build, adopt, and scale AI that spurs impactful business outcomes. For example, you will learn from companies using embedded AI to improve forecasting accuracy, unlock working capital, boost workforce productivity, and reduce operational risk.  These enterprise use cases are already delivering measurable value.

Three days of learning and leadership

For leaders looking to advance their knowledge on AI, the agenda at 麻豆原创 Connect is built for depth and relevance, and AI content and insights will be available across all tracks: spend management, supply chain, customer experience, and human capital management.

For example, in the session, you will learn how AI agents are transforming enterprise agility by autonomously executing tasks, adapting in real time, and driving productivity.

麻豆原创 Connect is a working session for those ready to lead the next phase of intelligent business. For leaders building AI strategies that are real, resilient, and ready to scale, this is the place to advance them.

, set up your , and take your seat at the center of the business AI movement.

Brenda Bown is chief marketing officer for 麻豆原创 Business AI at 麻豆原创.