1.0
Answer what happened
A compliance trail should show what the AI proposed, what a human decided, and why the executor was allowed to act.
- AI proposal
- Human approval
- Executor result
Home
Solution
Compliance trail
Preserve the context, policy, actor, model output, and executor decision behind every meaningful support action.
Trace
End-to-end
Proposal through execution stays connected.
Review
Entity
Audit can filter by thread or customer.
Policy
Versioned
The active rules are recorded.
2.0
Keep evidence practical
Audit detail should be filterable, readable, and tied to operational records without exposing unrelated data.
- Entity links
- Actor metadata
- Redacted details
Operations
What this means in production.
These pages describe the product contract behind the UI, not a decorative brochure. Each surface should connect back to the same governed support loop.
Control boundary
Side effects write audit logs.
Operator workflow
Support moves through secure ingest, AI preparation, human approval, outbound execution, and audit evidence.
Configuration impact
Provider setup, project policies, knowledge trust, retention, and billing limits decide how this behaves for a real workspace.
Proof points
Designed for governed support, not hidden autonomy.
Side effects write audit logs.
Policy versions are preserved.
Workspace scope is enforced.
References
Official stack and legal references.
These external links point to provider documentation, privacy notices, data-processing terms, or platform terms that shape production operation.
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