Audit a governed AI agent run end to end

Inspect the identity, authority, approval, tool, cost, system result, and accepted-outcome evidence required to audit an enterprise AI agent run.

How BlueBear handles the work

Identity and authority

Correlate tenant, user or service, agent, workspace, tool, action, credential reference, and permission decision before execution.

Execution evidence

Review model routing, MCP activity, tool calls, tokens, timestamps, status, retries, and cost for the same governed run.

Business verification

Link the downstream system-of-record identifier and business acceptance decision instead of treating a model response as a completed outcome.

Completeness protocol

Score only required fields backed by captured or linked artifacts, and leave missing evidence visibly incomplete.