Poesis
Usage / Use case Partial
Serve authorized definition context to a model
Provide coherent, policy-filtered definition context through a qualified API or MCP route so model requests retain revision and access boundaries. Context access alone neither grants effect authority nor validates generated answers.
Head of AI / Authorized integration client / CISO / Security leadership
Platform
What serves this use case
Capabilities
- SIE: Governed context for AI Partial
Values
Values composed with this use case
- Value Partial
Reduce uncertainty about a specified change
Bring relevant context and affected definitions into a shared review, making dependency paths and missing evidence visible before deciding.
Supported by Capabilities(2)
Supported by Features(2)
- Value Partial
Access snapshots programmatically.
Reuse structured snapshots across tools instead of manually exchanging documents, within each route's validated isolation, pagination and performance scope.
Supported by Capabilities(1)
Supported by Features(1)
Realized through Use cases(2)
Pains
Pain points
- Pain point Partial
AI agents act on stale wikis and tribal knowledge.
Without a trustworthy machine-readable source of truth, agent autonomy is either blocked or reckless.
Addressed by Affordances(1)
Addressed by Capabilities(2)
Addressed by Features(2)
Experienced by Actor types(5)
- Pain point Partial
Anything can change anything — there is no approval trail.
Definitions, standards, and obligations mutate without review; who approved what, and when, is unanswerable.
Addressed by Affordances(1)
Addressed by Capabilities(4)
Addressed by Features(7)
Experienced by Actor types(8)
Addressed through Use cases(9)
- Review a governance package upgrade
- Author and approve a shared definition
- Execute a bounded response and inspect the receipt
- Read and revise definitions through the API
- Qualify an execution adapter for an integration
- Enforce definition lifecycle boundaries
- Run a Mechanism inside declared bounds
- Serve authorized definition context to a model
- Make review and activation boundaries explicit