Process mining is becoming a core input to agent design
Teams building serious agents are using workflow telemetry and task traces to decide where automation should start, pause, or hand off.
The most grounded agent deployments are not designed from brainstorming sessions alone. They are increasingly informed by process data: task traces, exception rates, queue handoffs, and the real paths work takes across systems.
Workflow telemetry improves automation choices
Process mining gives teams evidence about where work stalls, which approvals create drag, and where humans repeatedly copy information between systems. That helps organizations identify where agents can add value without introducing unnecessary execution risk.
It also improves credibility. Stakeholders can see that automation design is grounded in operational reality rather than broad claims about productivity.
Good agent design starts with observed work
The next wave of agent products will likely rely more heavily on workflow evidence to define task scope, review lanes, and escalation logic. Products that connect process analysis to agent rollout are likely to feel more practical to enterprise buyers.