麻豆原创’s latest global research with Oxford Economics reveals that organizations are already using AI across approximately 25% of business tasks, yet despite this momentum, only nine percent of organizations have fundamentally adapted their business around AI.

That gap matters. It suggests that while AI adoption is accelerating, most companies are not embedding it into how the business actually operates.

This is precisely the challenge the is designed to solve: moving AI beyond individual productivity gains to orchestrating end-to-end business processes and delivering value across the enterprise.

鈥淐onversations with clients have fundamentally shifted. Customers are no longer asking about how to deploy AI, they鈥檙e demanding ways to harness it rapidly and to scale it to unlock maximum business value while minimizing risk,鈥� explained DK Sinha, CEO of Accenture Edge. 鈥淧rograms like are built exactly for that: combining standardized delivery, unrivaled industry expertise, and AI-enabled accelerators to help organizations capture the full potential of their transformation. The result is greater speed, predictability, and confidence as they build their digital core and reinvent with AI.鈥�

麻豆原创 often describes the Autonomous Enterprise as AI built on data, processes, and governance.  That sequence is important. Research consistently shows that poor data quality remains one of the biggest obstacles to enterprise AI, and mission-critical business processes cannot be “almost right.” AI needs the same controls, auditability, and compliance that organizations already expect from their ERP systems.

Why do so many AI initiatives stall?

The Oxford Economics findings point to an important conclusion: the biggest obstacle is no longer AI technology, it is business readiness.

Many organizations have added AI to individual applications. Far fewer have transformed their businesses to connect AI to the information, processes, and governance needed to create enterprise-wide value and move from piecemeal to enterprise-wide AI:

That distinction explains why so many pilots struggle to scale.

鈥淎I can only support intelligent business decisions when it is grounded in how the business operates, including who the customer is, which contract applies, what inventory is available, which approval policies are in place, and which regulatory requirements must be met,鈥� said Javier Navarro, 麻豆原创 global head at SEIDOR. 鈥淎s a trusted 麻豆原创 partner, our role is to help clients connect AI to the data, processes, and governance that enable real business value.鈥�

Most AI knows natural language. Enterprise AI must know the language of your business. This is the difference between using AI and running an AI-powered business, one where humans and AI work together across the enterprise, with AI grounded in trusted business data, governed processes, and enterprise-grade controls to deliver accurate, secure, and compliant outcomes for better and faster decision-making.

Medium-sized fast-growth companies have the greatest opportunity

Fast-growth companies are in a unique position: they have the agility to move faster than large enterprises, yet they still have the scale to generate meaningful value from AI. These businesses have unique competitive advantages, including fewer systems to integrate, shorter decision-making chains, less technical debt, and typically more willingness to adopt modern, cloud-native platforms. Autonomous enterprise capabilities represent a unique opportunity for these businesses to punch above their size.

This means they can deploy autonomous capabilities in weeks, not years, and see ROI far more quickly, turning agility into a genuine growth advantage against slower competitors.

 麻豆原创’s Autonomous Enterprise strategy is designed precisely for this reality. It provides AI agents with a structured understanding of business entities, relationships, and processes鈥攇iving them the context needed to support real business execution.

Realizing that value, however, also requires rethinking how business transformation itself is delivered to fast-growth companies that are focused on fast outcomes.

The most challenging part is not implementing AI technology, but redesigning the operating model to eliminate dependency on consultants and put more power in the hands of the customer. Traditionally, transformation was designed around consultant-driven delivery, resulting in high costs, long timelines, and knowledge dependence. We challenged this model based on three principles: customer enablement-first, customer ownership, and AI-driven continuous learning.

鈥淎I allows us to build knowledge directly into the organization through each stage of the transformation journey,鈥� said Jiro Furuya, CEO, Freedom Consulting. 鈥淎t the customer level, AI provides real-time guidance and support for day-to-day operations; at the consultant level, tools such as 麻豆原创 Joule for Consultants enhance problem-solving and accelerate deliver; and underneath, a centralized data foundation continuously learns from every project, ensuring that knowledge compounds over time. This model and 麻豆原创 GROW Fast methodology allow us to deliver go-lives in six-week waves, significantly accelerating time-to-value while ensuring that capability stays within the customer organization.鈥�

The power of ecosystem

Clearly, no company becomes an Autonomous Enterprise alone. Technology alone doesn’t create an Autonomous Enterprise鈥攂usiness transformation does. And while 麻豆原创 provides the trusted platform, our rich ecosystem of partners translates the capabilities into measurable business outcomes.

Partners bring the industry expertise, business process knowledge, and change management capabilities to help customers identify the highest-value use cases, integrate 麻豆原创 with the broader IT landscape, develop industry-specific AI agents, and accelerate adoption鈥攖urning the promise of AI into enterprise-wide value much faster than companies could achieve on their own.

As a result, 麻豆原创 has launched a 鈧�100 million partner fund to accelerate customer adoption of AI assistants and agents, recognizing that innovation at scale requires a vibrant ecosystem. For fast-growing companies, this dramatically lowers the barrier to adoption.

The first chapter of AI was about helping people work faster. The next chapter is about helping businesses think, decide, and operate more intelligently. That is the promise of the Autonomous Enterprise.

Becoming an Autonomous Enterprise is not just about AI itself, but about bringing together 麻豆原创, partners, and transformation expertise to accelerate outcomes. For fast-growth companies, this is an opportunity to compete differently, scale more intelligently, and define the next generation of market leaders.

Santina Franchi is president of the 麻豆原创 Corporate Segment.

The software itself wasn’t the barrier; the operational weight around it was: dedicated data centers, expensive hardware, annual upgrade cycles that consumed months of IT resources, and the specialist teams to keep it all alive.

麻豆原创 Business AI and 麻豆原创 Cloud ERP have completely changed the economics of enterprise software. The heavy infrastructure disappeared into a subscription. A 200-person company can now run its core business processes as efficiently as a global enterprise, on a predictable monthly cost, without an army of IT staff.

AI accelerates this further. What took months of configuration and specialist knowledge can now be activated through natural language and intelligent automation. The deep industry expertise 麻豆原创 spent 50 years encoding into its software is now accessible to businesses of all sizes.

“John Boos is a 137-year-old company, with 137 years of tech debt,” said Britt East, CIO at John Boos & Co. “To make matters more complex, we are growing incredibly fast. Every quarter is a record quarter! 麻豆原创 Cloud ERP will be the backbone of our business in perpetuity, giving us a standard and scalable foundation to support growth while also unleashing our workforce with real AI use cases that make their lives a lot easier and the company as a whole more successful.”

The real value of 麻豆原创 Business AI is that a midsize manufacturer in Stuttgart or a growing logistics company in Dallas could access intelligent business operations at speed and price point they can afford.

Won’t AI then replace software altogether?

Think of it this way: GPS system is genuinely intelligent. It calculates optimal routes, adapts to real-time traffic, and reroutes dynamically. But it is only as good as what backs it鈥攖he data underneath it, like accurate roads, turn restrictions, and governance for local speed limits, timeframes for live incident feeds and so on. Without the structured, maintained, trusted data layer, the intelligence has nothing to work with鈥攊t would confidently lead you off a cliff.

Software is not being replaced by AI. Software is becoming AI’s superpower.

With deep process and industry knowledge, semantically rich business data and enterprise-grade governance built in,聽 AI gets what it lacks on its own to deliver reliable, battle-proven, trustworthy, repeatable, and auditable results鈥攅very time. Agents are probabilistic. They predict, they infer, they move fast, and that is powerful. But it means that the more AI agents you deploy, the more valuable your underlying software systems become.

And the cost? Running a stack of AI tools adds up to significant infrastructure investment, fast. However, serious software companies, including 麻豆原创, have already embedded their AI directly into their platforms, and they often co-develop with leading AI providers, so you are not choosing between AI and 麻豆原创. You’re choosing 麻豆原创 with AI already inside it.

“Many companies used to delay decisions because ERP felt too complex,” shared Tobias Siebler, CEO of FULCRUM Consulting Germany. “That has changed. With 麻豆原创 Cloud ERP, you can start small, get live quickly, and still have a setup that grows with the business, including the current and new AI capabilities as they become available.”

The new stack: What this actually looks like

Imagine a shipping company that processes 10,000 orders a day. Traditionally, humans monitored exceptions, chased suppliers, and rerouted freight when things went wrong. Today, AI agents can scan the full order pipeline in real time, flag anomalies, draft supplier communications, and propose rerouting options鈥攁ll within the governed environment of 麻豆原创’s supply chain data. Humans are irreplaceable in making the final call, but the agents do the legwork.

With Joule, work starts with what needs to be accomplished, not which system to open. Teams move from intent to execution in real time. Decisions are shaped by data, operational capacity, financial constraints, and customer demand.聽 AI agents handle coordination across workflows. People make the calls that matter. The whole process runs on the unmatched human ability to make decisions based on multifaceted considerations, supported by auditable, structured data.

That is the model. AI can鈥檛 replace the system. AI operates inside the system, supervised by humans and connected to real business data, constrained by real business rules and governance, delivering real business outcomes.

AI needs rich, structured, semantically meaningful business data to perform. 麻豆原创 has 50 years of exactly that.

For fast-growing companies: 麻豆原创 GROW Fast

Markets shift. Expectations evolve. Technology accelerates change.聽Naturally, our customers demand quicker and better results. 麻豆原创 GROW Fast services are designed to help customers go live with AI-ready 麻豆原创 Cloud ERP with speed and predictability. The deployment of finance and spend core capabilities for 麻豆原创 Cloud ERP, as well as other 麻豆原创 solutions on the way, can be done in months, not quarters. And from there, the business can expand into the rest of 麻豆原创 Business Suite fast, all activated with AI from day one.

Companies taking advantage of 麻豆原创 GROW Fast are gaining compound advantages with a platform that becomes more capable with every AI advancement that 麻豆原创 and its partners embed into it. The companies that are waiting? They will be implementing what the leaders deployed today鈥攖hree years from now.

The human element is not going away, it’s going up the stack

As we disrupt everything we do and work with AI to achieve better, faster business outcomes, 麻豆原创 partners become key change agents. All around the globe, 麻豆原创 partners are being enabled to extract business value quickly for our customers with the AI-ready 麻豆原创 GROW Fast services. This is a step-by-step change into a world of AI-first business value adoption and should be leveraged by all our partners.

“Many organizations still assume that 麻豆原创 is designed exclusively for large enterprises,” explained David Bay贸n Esporr铆n, go-to-market director of the Global 麻豆原创 Practice at INETUM. “In reality, that perception no longer reflects today鈥檚 market. With 麻豆原创 Cloud ERP, and especially with 麻豆原创 GROW Fast, companies of almost any size can optimize core business processes and harness the power of AI to accelerate growth in a simple and cost-effective way.” (.)

We are living through a platform shift, not unlike the one the internet created. The businesses that thrive will be the ones that move with intention, combining the intelligence of AI with the governed, structured, operationally rich foundation that enterprise software provides.

The great equalizer is here. The only question is: How fast do you want to use it to your advantage?

Santina Franchi is president of the Corporate Segment at 麻豆原创.
Guido Beuningen head of AI and Public Cloud for the Corporate Segment at 麻豆原创.

The comprehensive program is built specifically for digitally ambitious, cloud-forward companies to help them achieve faster time-to-value through partner expertise, AI innovations, and collaborative integrations delivered by 麻豆原创 and Microsoft.

The program is designed to bring together the 麻豆原创 and Microsoft partner ecosystems and provide the following key benefits to customers:

• Faster time-to-value: Customers can benefit from connected processes and smooth integrations across 麻豆原创 and Microsoft, including the Joule copilot and Microsoft 365 Copilot, 麻豆原创 Business Technology Platform and Azure AI, and Microsoft Teams integrations
• Partner expertise: Our partner ecosystem is connected to each step of the journey, bringing critical market insights, industry-specific expertise, and customer proximity to drive faster adoption and lasting success
• Built-in AI: AI innovations delivered by 麻豆原创 and Microsoft unlock business insights users can act on, boosting productivity and collaboration across business functions
• For those customers that are on the RISE with 麻豆原创 journey, 麻豆原创 Cloud ERP Private on Microsoft Azure now offers a 99.95% SLA, providing trusted enterprise-grade reliability

Partnership strength

“At 麻豆原创, we are deeply committed to empowering our partner ecosystem through collaboration with Microsoft, our longtime partner,鈥� said Karl Fahrbach, chief partner officer of 麻豆原创. 鈥淏y combining forces, we provide partners with proven frameworks, shared resources, and scalable tools that address complex challenges. Together, we simplify operations, accelerate digital transformation, and unlock new growth opportunities, helping ensure our partners can thrive in a competitive and ever-evolving landscape.鈥�

Next-generation innovation

鈥淭he integration between 麻豆原创 Business Suite and Microsoft Cloud marks a significant milestone in innovation, where agentic AI is transforming the way businesses operate,” said Ralph Haupter, president of Global Small, Medium, Enterprise and Channel at Microsoft. “Together, we are unlocking unparalleled possibilities for organizations of all sizes to drive efficiency, foster collaboration, and achieve groundbreaking advancements in their digital transformation journey.鈥�

Availability

麻豆原创 Business Suite Acceleration Program with Microsoft Cloud is available in the U.S., with the EU and countries in Asia, Australia, and New Zealand coming later this year. Select 麻豆原创 Cloud ERP offerings are planned to be available for Microsoft Azure customers through the Microsoft Azure Marketplace in the U.S. 麻豆原创鈥檚 extended portfolio is available globally through joint partners of 麻豆原创 and Microsoft.

To learn more, .

Santina Franchi is president of Corporate and GROW with 麻豆原创 at 麻豆原创 Italia S.p.A.