What is Agent Mining?

Agent Mining applies Process Mining methods to the activity of AI agents: their calls, tool invocations, and decisions are captured as event data and analyzed like a process. This reveals which paths an agent actually took, where it fails, loops, or performs unnecessarily expensive steps. Agent Mining relates to AI agents the way Task Mining relates to human desktop work.

Why does this matter?

As soon as agents take part in productive workflows, they become part of the process themselves – with runtimes, costs, error rates, and variants. Without Agent Mining their behavior remains a black box that can neither be optimized deliberately nor evidenced to business owners and auditors.