1.0
AI does useful prep work
The cockpit uses structured AI outputs for classification, risk, summaries, drafts, citations, and action proposals.
- Classification
- Draft reply
- Action proposal
Home
Solution
AI support cockpit
Classify, summarize, draft, review, approve, and send support replies through a governed human-in-the-loop workflow.
AI role
Prepare
Models create structured proposals.
Human role
Decide
Operators approve or reject replies.
System role
Enforce
Policy gates control side effects.
2.0
The app controls execution
Sending remains a deterministic server-side action after policy checks, audit prewrites, and human approval.
- Policy result
- Approval decision
- Executor gate
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
Models do not read secrets.
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.
Models do not read secrets.
AI outputs are schema-validated.
Humans remain accountable for sends.
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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