Canonical decision objects
Exposed as a scoped capability with its own evidence trail, not a hidden setting.
Authority & assurance · Concept
Foundational infrastructure for capturing, evaluating, authorizing, executing and measuring decisions across human and AI systems.
DecisionInfrastructure is built for Enterprise architects, automation teams, decision science teams, software platforms.
DecisionInfrastructure replaces disconnected rules engines, workflow systems and decision logs.
Foundational infrastructure for capturing, evaluating, authorizing, executing and measuring decisions across human and AI systems.
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.
Defined as an explicit contract so operators can review it before it runs.
Available through the product surface and the machine interfaces, with permission attached.
Available through the product surface and the machine interfaces, with permission attached.
The same three steps apply whether a person or an agent is driving.
Start from the boundary DecisionInfrastructure 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.
DecisionInfrastructure is documented as a concept: requirements, interfaces and evidence expectations. It is not presented as a live service.