Decision governance
Machines propose. People approve.
Every high-consequence recommendation is routed to a named authority under a policy, with the evidence, alternatives, uncertainty, and simulation results attached. Nothing releases without a human.
Human Governance Gate
- 01RecommendationMachine-generated candidate decision with alternatives and uncertainty.
- 02Evidence reviewSources, agreement, and contradictions surfaced for the approver.
- 03Simulation resultScenario outcomes and residual risk from the digital twin.
- 04Risk thresholdPolicy check against consequence tier and named authority.
- 05Named authorityRouted to the specific human or role empowered to release.
- 06Approve · Revise · Escalate · RejectHuman decision recorded with rationale.
Governance principles
The rules that keep decisions defensible.
Named authority
Every consequence tier has a defined approver, not a role vacuum.
Policy-first release
Thresholds and required evidence are codified before the event, not during it.
Escalation paths
Ambiguity routes upward, not sideways.
Rationale on record
Every approval, revision, escalation, and rejection carries a rationale.
Next step