Run timeline
Inspect each step in an AI run, including source retrieval, agent reasoning boundaries, tool calls, approvals, and outputs.
Inspect what happened in every AI-assisted workflow: inputs, sources, agent steps, approvals, decisions, outputs, and follow-up actions.
Traces give people teams, operators, and governance owners a clear record of how work moved through Clous.
Track every run across inputs, sources, tools, approvals, and outputs
See which context and permissions shaped each recommendation
Debug workflow failures without guessing where the chain broke
Create audit-ready evidence for sensitive AI-assisted decisions
Built for governance, debugging, and operational trust.
Inspect each step in an AI run, including source retrieval, agent reasoning boundaries, tool calls, approvals, and outputs.
Connect recommendations back to the documents, records, policies, and workflow rules that informed them.
Keep review history, owner actions, and exception notes attached to the workflow.
Teams can adopt AI with clearer control and stronger accountability.
Show why an output was produced and which context influenced it.
Find bad inputs, stale sources, missing permissions, or workflow gaps quickly.
Keep audit trails and human review evidence available when decisions are sensitive.
Start with visibility on one workflow, then standardize governance across the platform.
Start with a workflow where AI recommendations, approvals, or sensitive data need inspection.
Inspect sources, permissions, outputs, owners, and escalations for each run.
Use trace findings to improve prompts, sources, approval rules, and operating policies.
See how Clous traces make AI-assisted work governable and easier to debug.