At 麻豆原创 Sapphire earlier this year, 麻豆原创 defined the role of its Business Transformation Management portfolio in the Autonomous Enterprise and 麻豆原创 Business AI Platform: to apply process intelligence, enterprise architecture, digital adoption, and transformation execution as the operational backbone through which enterprises deploy, govern, and scale AI agents.
Today, at the in Atlanta, 麻豆原创 unveils the latest innovations for 麻豆原创 Signavio, 麻豆原创 LeanIX, WalkMe, and 麻豆原创 Cloud ALM to show how their integrated capabilities become the system on which enterprises can rely for end-to-end agent operations.
麻豆原创 Signavio expands AI capabilities and advances AI agent excellence
麻豆原创 Signavio is bringing AI deeper into every stage of process transformation while giving enterprises the foundation to run AI agents with confidence. Enterprises no longer question whether to use AI. They ask where it matters most, and how to trust the agents that act on their behalf. With its latest release, 麻豆原创 Signavio answers on two fronts: building AI agents into every part of the suite to make transformation faster and more accessible, and helping organizations achieve by giving their agents the knowledge and governance they need to deliver real value.
The latest release of the introduces process mining capabilities, analyzing process performance data across 麻豆原创 and non-麻豆原创 environments, surfacing bottlenecks, and recommending where agents can be applied to create the most value.
Knowing where to act is only the starting point. Realizing that potential requires processes that are designed for AI from the ground up. The re-designed brings in AI-native process design, integrated governance, real-time collaboration, and suite-wide connectivity into a single canvas, making process modeling faster, more accessible, and built for the way transformation teams actually work.
Good process design sets the intent. closes the loop with AI-native and increasingly agent-driven analysis, providing an ever-more autonomous monitoring layer that watches how work runs and helps teams act on recommendations with confidence.
To enable agents to act on those recommendations within organizational context and guardrails, preview will offer both people and AI agents a single, consistent source of an organization’s rules, standards, and process know-how.
麻豆原创 Signavio provides the process intelligence layer where AI supports both the people analyzing processes and the agents acting on them. That leads to the question of the enterprise architecture underpinning AI agents.
Bring architecture intelligence to life with 麻豆原创 LeanIX
Enterprise architecture has long been one of the most strategic functions in any organization, yet its value rarely travelled beyond the architecture team. 麻豆原创 LeanIX is changing that by delivering architecture intelligence directly to the CIO making portfolio decisions, to the transformation office managing change at scale, and to the AI governance leads navigating an expanding agent landscape.
That requires architectural knowledge that is active, not just documented. The enterprise knowledge repository stores approved architecture principles, security standards, and technical decisions as governed knowledge that agents reason over, turning a documented standard into active context that shapes agent design and runtime behavior. The has been extended to combine live workspace data, industry benchmarks, and 麻豆原创 best practices to support complex architecture decisions, with human judgment retained throughout.
The provides the foundation for enterprise-grade AI governance, inventorying agents, large language models, and MCP servers across the enterprise, mapping them to capabilities and owners so governance becomes a continuous operational discipline. The new AI Governance Assistant embeds EU AI Act and NIST compliance intelligence directly into this inventory, automating risk classification and reassessing automatically when systems change.
As AI reshapes the enterprise faster than traditional governance can handle, 麻豆原创 LeanIX shows that architecture intelligence is no longer purely reserved for the experts. It is the architectural backbone the whole business needs to move forward into the AI-native era with confidence.
But architectural confidence does not automatically become employee behavior. That gap is where the WalkMe portfolio operates.
Adoption and execution across every application
Transformation only delivers when people actually change how they work.
Three years into the enterprise AI era, the numbers make that gap painfully clear: Gartner research shows 87% of IT leaders say AI adoption has not happened automatically, and only eight percent of employees use enterprise AI in any meaningful way. That鈥檚 happening largely because AI still sits outside the flow of work. With the latest innovations announced today, WalkMe is closing that gap.
Contextual AI assistance proactively surfaces AI tools, including Joule Agents, assistants, and skills, directly where people are already working, across 麻豆原创 and non-麻豆原创 applications. The right capability reaches the right person at the right moment, with the governance controls to manage what agents run, who can access them, and when they trigger.
But surfacing AI is only part of the answer. Agents still need to act, and much of the enterprise is not reachable through an API. WalkMe’s UI-native agent solves the connectivity problem by operating the interface itself, extending Joule’s reach into legacy systems, heavily customized ERP environments, and third-party applications that standard agent architectures simply cannot touch.
Two new capabilities sustain this at scale. AI Authoring lets teams describe the experience they want in plain language and generates a live, deployable plan. With AI Insights, leaders can query how workflows and content are performing and receive analysis, charts, and dashboards built from real data.
More than simply providing access to AI, its real business impact is felt when people start actually using AI, consistently, in the moments that count.
Sustaining that performance, from the first transformation project through live operations, requires one platform to govern the entire life cycle.
One life cycle, one governance model
The measure of agentic AI is what happens after deployment. 麻豆原创 Cloud ALM governs the full journey: from managing cloud transformation end to end with AI assistants and Joule spanning system analysis, configuration, testing, and rollout. Once agents are live, its AI agent monitoring capability tracks every agent action so operations teams can confirm AI is working as designed, catch deviations before they compound, and demonstrate the business outcomes that justify the investment.
Business Transformation Management solutions from 麻豆原创 drive the by operating as a system: 麻豆原创 Signavio defines how work should run and measures whether agents are improving it; 麻豆原创 LeanIX governs where agents operate and whether they can be trusted; WalkMe ensures people and agents can execute together across every application; 麻豆原创 Cloud ALM governs the transformation and deployment life cycle, validating that agents are tested, trusted, and ready before they go live, and monitoring their performance in production to protect the outcomes the business invested in.
Business Transformation Management solutions from 麻豆原创 are the system that keeps all of it in motion.
Andre Wenz is general manager and chief product officer for Business Transformation Management at 麻豆原创.
