Most organizations have invested heavily in AI, yet struggle to translate it into real operational impact. The missing link is not more data or better models, but a deep understanding of how work actually happens across processes.

This session explores why AI initiatives often fail to deliver value and how Process Intelligence changes that. By leveraging process data and reconstructing end-to-end workflows, organizations gain a transparent, objective view of their operations. This creates the foundation for AI to move beyond isolated use cases and become embedded in real business execution.

We will discuss how Process Intelligence connects insights, decisions, and actions, enabling organizations to identify inefficiencies, prioritize the right opportunities, and operationalize AI at scale. Real-world examples will illustrate how companies use this approach to improve performance, increase automation, and drive measurable outcomes.

The session will also outline a practical path forward, from understanding your current processes to integrating AI into decision-making and execution. Attendees will gain a clear perspective on how to move from experimentation to impact, and how to build a foundation for more autonomous, data-driven operations.

Because in the end, AI alone does not transform a business. It is the combination of AI and Process Intelligence that turns potential into performance.

Attendees will learn:

• Why AI without process understanding fails to deliver real impact
• What it takes to make AI work in the messy reality of enterprise operations
• How to turn data into decisions and decisions into action at scale
• Where most organizations get stuck and how to break through
• How Process Intelligence becomes the control layer for AI-driven execution