VIDEO PODCAST
Celonis's Dan Brown on How AI Agents Transform Business
James Maguire
November 18, 2025

Among the many interesting points from my interview with Dan Brown, Chief Product Officer at Celonis, was his forward-looking view of how agentic AI systems will reshape enterprise operations in the coming years. AI agents will drive analysis, design, and execution faster and with greater synchronization than ever before. In sum, this emerging technology will support a major shift in business workflow.

Additionally, Brown—who spoke to me at Celosphere 2025, in Munich—detailed how enterprises are using digital twins, semantic data models, and autonomous agents to uncover bottlenecks, govern complex workflows, and measure real ROI from AI-driven change.

“Agents will soon be analyzing, designing, and operating business systems in real time — accelerating decision cycles and reshaping the digital operating model of every major enterprise.”
Core Takeaways
Process mining
Provides a real "X-ray" of how work actually moves through enterprise systems, exposing variations, bottlenecks, and unnecessary manual touch points.
KEY QUOTES

The Real Value of Process Mining

What process mining does is it looks at all of these systems and these digital footprints of documents that are moving through and that work that's happening, and we take that data and we use inference algorithms to actually show you exactly how the process works. Once you have that X-ray, you can immediately understand the distribution of all variations—where the highest-percentage flows are, where bottlenecks appear, and where unexpected human touches are slowing things down.
From there, enterprises can analyze, design, and operate differently. You take the X-ray, see that the real process is not what you expected, modify it through optimization or engineering, and then run and monitor it. That closed-loop cycle of visibility and improvement is the foundation for every transformation initiative that follows.

Why the Digital Twin Matters

A digital twin fuels everything: discovery, modeling, and operations. We take data from source systems, format it into objects and events, and infer the business process as each object moves through its lifecycle. Because enterprise processes intersect constantly—front office with middle office, middle office with back office—that unified twin becomes the only reliable way to see how work really moves across an organization.
Many enterprise challenges come not from one system's behavior but from mismatches between systems. A CRM's idea of an order may not match the ERP's or the finance system's. The Process Intelligence Graph standardizes those shapes and meanings so companies can finally get true end-to-end process intelligence, not just fragmented data views.

Governing Agents and Measuring ROI

Most companies feel more comfortable when agents provide recommendations that humans validate—but as agents begin taking direct action in systems of record, governance becomes critical. With Celonis, we can see system updates driven by an agent, and we can also use 'agent mining' to observe when an agent is working and how it impacts KPIs. You get two independent signals validating that an agent acted and what the result was.
When you tie agent behavior directly to process KPIs, you can measure whether a solution is improving speed, cost, quality, or compliance. That's the essence of real ROI on AI investment—seeing if the KPI is going up, going down, or not moving at all. Enterprises need that visibility before they hand more decision-making authority to autonomous agents.
ABOUT THE AUTHOR
James Maguire
Executive Director
An award-winning journalist, James has held top editorial roles in several leading technology publications, covering enterprise trends in cloud computing, AI, data analytics, cybersecurity and more. He regularly communicates with industry analysts and experts and has interviewed hundreds of technology executives.