AI and Process Mining: Complement, Converge, or Evolve?

There’s growing discussion around how AI will reshape process mining and with recent advancements, it’s no longer a theoretical conversation.

With systems like SAP Joule, AI is moving beyond analysis. It can understand context, interact in natural language, and increasingly take action within business processes. In many ways, it is becoming an active participant in how work gets done.

This naturally raises an important question:

Where does this leave process mining?

For years, platforms like Celonis have played a critical role in helping organizations understand how their processes actually run. By reconstructing end to end flows across systems, they’ve provided visibility into bottlenecks, deviations, and inefficiencies grounded in real execution data.

That foundation still plays a critical role. Though how it evolves is an open question.

At the same time, AI is beginning to absorb parts of what was traditionally the domain of process mining. It can answer process related questions instantly, guide decisions in real time, and even trigger actions directly within workflows. The boundaries between analysis, decision making, and execution are no longer as clearly defined as they once were.

What’s emerging may not be a simple replacement, but rather a convergence.

On one side, AI brings speed, interaction, and the ability to act. On the other, process mining brings structured visibility and a grounded understanding of how processes behave in reality. Together, they begin to form a more continuous loop where insights can flow directly into decisions, and decisions into actions.

But how this balance will evolve remains uncertain.

Will AI continue to complement process mining, enhancing its impact? Will it reshape how process mining is delivered and consumed? Or will it gradually absorb parts of it altogether?

For those working in this space, the answer may not be immediate and perhaps that’s what makes this moment interesting.

Rather than a fixed destination, this feels like a transition.

And how we choose to adapt to it will likely define the next phase of process intelligence.