Audience 01
Enterprise AI governance teams
Needs the same permission model for people and agents.
Authority & assurance · Concept
Where the work actually changes.
DecisionHypervisor is aimed at Enterprise AI governance teams, platform engineers, regulated operators.
01
Who it is for
Three audiences, one boundary model.
Audience 02
platform engineers
Needs the same permission model for people and agents.
Audience 03
regulated operators
Adopts it to replace a patchwork of tools with one reviewable surface.
02
Use cases
Each row maps a capability to the operational change it is meant to produce.
| Capability | Operational change | Status |
|---|---|---|
| Decision policy evaluation | Removes an ad hoc step from the workflow. | Specified |
| Authority and evidence validation | Makes an existing action reviewable. | Specified |
| Pre-action risk controls | Removes an ad hoc step from the workflow. | Specified |
| Deterministic decision receipts | Removes an ad hoc step from the workflow. | Specified |
| Traceability, replay and escalation | Removes an ad hoc step from the workflow. | Specified |
03
Migration
How a team would move from the status quo without a big-bang cutover.
Step 01
Map the current path
Name the tools, owners and handoffs that the product replaces. Nothing is removed yet.
Step 02
Run one capability
Pick a single scoped capability and run it alongside the old path, with evidence compared side by side.
Step 03
Retire the old path
Remove the previous tool only when the new record is complete enough to audit.