Process documentation for an AI agent must capture more than the official sequence of steps. It needs the business outcome, the work people actually perform, required context, decision rules, permission boundaries, exception ownership, and the quality loop that updates the workflow after a failure.
Select one workflow, pull 3 to 5 recent cases, and gather the current SOP and system list. Reconstruct each case from trigger to result. Mark every divergence, record the evidence behind each decision, assign permission modes and thresholds, then test the draft with a second operator on one fresh case.
Use the open Agent-Ready Workflow Documentation Checklist.
Workflow documentation is a current record of how work moves from a starting event to a defined result. It includes the sequence, roles, systems, evidence, decisions, exceptions, permissions, quality measures, and update cadence required to perform the work consistently.
An SOP usually describes the approved procedure. Workflow documentation adds the observed work, handoffs, context, judgment, variations, and exception paths needed to explain how the process runs in practice.
Capture enough detail for a second operator to reproduce the result and identify when they must stop, escalate, or request approval. Interface clicks matter when they affect evidence or control. Routine screen instructions can sit in a supporting job aid.
Set a fixed review cadence based on risk and change rate. Review sooner after a material failure, policy change, system change, new workflow variation, or repeated human override.