Actions will appear here after a review.
Document readiness, with governance built in
Find the gaps before the document reaches a client, auditor, or operator.
Upload a policy, statement of work, runbook, AI plan, or prompt specification. The app checks whether it is complete enough to approve and operate, then identifies missing evidence, unclear ownership, data risk, and specific edits.
01 · Select and submit
Choose a review profile
What this demo does
- Choose what the document is supposed to accomplish.
- Upload a file or paste the text you want reviewed.
- Get a readiness score, evidence gaps, and prioritized fixes.
It reviews whether a document is ready for approval or operation. It does not summarize, publish, or automatically rewrite the file.
02 · Review and remediate
Readiness assessment
Choose a scenario to begin
The review will score four governance dimensions and produce prioritized actions.
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Readiness score
Review outcome
Not assessed
Structured review with actionable evidence
Run a sample review to see how Temen turns document gaps into an operator-ready remediation plan.
Prioritized remediation
What to fix next
Honest by design
What happens to a document in each mode
The public experience is deliberately separated from the live evaluator. This keeps the sales demo available without creating an anonymous AI endpoint.
Browser-only demonstration
- Prepared scenario is loaded locally.
- Deterministic sample result is rendered.
- No API, model, or document storage is used.
Control Center-governed evaluation
- Microsoft Entra authenticates the reviewer.
- PDF or DOCX text is extracted in the browser; the original file is not uploaded.
- Current Sales or administrator access, origin, text size, type, and usage limits are checked.
- Managed identity calls an isolated Foundry deployment.
- Only the result is returned; app storage retains no content.
Identity and role boundary
Live requests require Entra authentication plus a current Control Center Sales or administrator role.
Secretless model access
The deployed app uses managed identity and least-privilege inference access.
Hard usage boundaries
Per-user hourly and daily limits are enforced before model calls.
No app content retention
Documents are processed in memory and are not written to the rate-limit store or logs.
Untrusted-content isolation
Document text is treated as data, bounded, validated, and separated from instructions.
Customer-tenant deployment
The same solution can be deployed into a customer-owned Azure boundary.
Public mode
Sample-only
Live access
Entra sign-in required
Model access
Managed identity
Retention
No app content retention