How do you audit what the agent did? An executive wants to understand why it made a decision.

Question

AgenticPrep · Accepted Answer

"Full trace chain: every task gets a trace_id that links: (1) The original user request (2) The plan the agent generated (3) Every tool call with arguments and results (4) Every LLM prompt and response (stored but PII-redacted) (5) The final output with confidence score (6) Any human approval steps. This goes to BigQuery with 7-year retention. For the executive: a human-readable summary is auto-generated: 'The agent reviewed 3 data sources, found X, concluded Y, and took action Z.' Think of it as an automated decision log — every AI decision is as auditable as a human decision."