What is Agentic Process Intelligence?

Agentic Process Intelligence describes the use of autonomous AI agents that work continuously on an organization’s process model and process data, rather than only responding to individual user queries. The agents monitor metrics, form and test hypotheses, detect deviations, and report results back proactively. This shifts Process Intelligence from analysis on demand to continuous, always-on observation.

Why does this matter?

Classic process analysis is bound to human attention: whatever nobody queries stays undiscovered. Agentic approaches scale observation across all processes and substantially shorten the time between a problem arising and being noticed.

What does this look like in practice?

Instead of an analyst opening a dashboard, an agent works the case: it finds the cause of a delay, proposes an action, calculates the business case, and measures the realised effect after rollout. Every step is documented, and the agent asks for approval before anything changes in a system.

Not to be confused with

Not to be confused with a copilot, which answers questions somebody asks. An agent pursues a goal across multiple steps and initiates actions. Nor with RPA, which replays predefined click sequences, whereas the agent decides which step makes sense next.