Industry
Government
Auditable evidence for public-sector programs where oversight, records obligations, and public trust are non-negotiable.
Who in Government benefits from deterministic AI governance — and what they're hearing from skeptics.
Common Objections
Our process already has human approvals, so model output risk is contained. Human approvals help, but they don't guarantee evidentiary support at machine speed. Kenshiki verifies before claims enter the approval chain.
Policy interpretation varies by program, making enforcement brittle. Kenshiki externalizes policy and evidence rules — versioned, reviewed, and updated per program without changing application code.
Audits focus on outcomes, not every intermediate model decision. When outcomes are challenged, intermediate decisions become evidence. Kenshiki preserves them with source lineage and gate rationale.
Questions to Consider
- Can your agency prove why a given AI-assisted output was allowed to be emitted?
- How are policy updates propagated and enforced across model-enabled workflows?
- What evidence chain do you provide to inspector, legislative, or public oversight teams?
- Where do you enforce least-privilege and mission-boundary controls for AI output?
- How quickly can you reproduce the exact gate decision path for a challenged case?