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Audit evidence

A practical guide to the evidence Tier0 records around AI proposals, human decisions, and executor actions.

Evidence
Linked

Thread, actor, model, and policy are connected.

Review
Fast

Find the reason behind a sent reply.

Retention
Planned

Records follow workspace retention rules.

1.0

Capture what matters

Audit evidence should make a support decision understandable without exposing secrets or unrelated tenant data.

  • Actor metadata
  • Policy result
  • Model run metadata
2.0

Trace every side effect

When the system sends, rejects, escalates, or changes policy, the record should explain what allowed it.

  • Proposal
  • Approval
  • Execution
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

Audit events precede side effects.

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.

Audit events precede side effects.
Entity links stay scoped.
Secrets are redacted.
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.

Next

Keep exploring the operating model.