1.0
Support behavior is configuration
Project policies define what the AI may suggest, what it must refuse, and what requires escalation.
- Tone
- Refund policy
- Forbidden promises
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Resource
Policy versions
How confidence thresholds, escalation rules, forbidden promises, and approval boundaries change safely over time.
Policy
Versioned
Changes remain traceable.
Approval
Explicit
Real sends stay behind human review.
Risk
Modeled
High-risk intents stay protected.
2.0
Changes need history
Versioned policy lets teams explain why a draft was allowed or blocked at the time it was proposed.
- Confidence threshold
- High-risk intents
- Version history
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
Policy results attach to drafts.
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.
Policy results attach to drafts.
Customer-facing sends require approval.
Audit can reference policy version.
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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