Decision policy evaluation
Exposed as a scoped capability with its own evidence trail, not a hidden setting.
Authority & assurance · Concept
An execution-time decision control layer that evaluates, authorizes, constrains and records decisions before consequential actions occur.
DecisionHypervisor is built for Enterprise AI governance teams, platform engineers, regulated operators.
DecisionHypervisor replaces opaque decision pipelines, ungoverned agent decisions and disconnected human approval gates.
An execution-time decision control layer that evaluates, authorizes, constrains and records decisions before consequential actions occur.
Work stays inside an explicit scope: named sources, defined permissions, bounded execution, retained evidence.
Five contracts the product is specified around. Each one is a boundary as much as a feature.
Exposed as a scoped capability with its own evidence trail, not a hidden setting.
Available through the product surface and the machine interfaces, with permission attached.
Exposed as a scoped capability with its own evidence trail, not a hidden setting.
Exposed as a scoped capability with its own evidence trail, not a hidden setting.
Exposed as a scoped capability with its own evidence trail, not a hidden setting.
The same three steps apply whether a person or an agent is driving.
Start from the boundary DecisionHypervisor is allowed to act inside: the workspace, the sources, the budget, the authority.
Expose the same capability through the interface a human uses and the interface an agent calls, with one permission model.
Every action leaves a record that can be inspected, replayed and challenged before the next one runs.
DecisionHypervisor is documented as a concept: requirements, interfaces and evidence expectations. It is not presented as a live service.