Solutions

Enterprise AI

Apply authority, policy-bound execution, and evidence to agent actions that cross into systems, data, or commitments.

Domain control model

Start with the consequence.

Architecture reflects the domain's real control and evidence needs.

01

Consequential action

agent actions that cross into systems, data, or commitments

02

Authority problem

human mandate, agent identity, tool scope, budget, and expiry

03

Policy problem

purpose, data handling, model/tool constraints, and escalation

04

Execution problem

tool calls only through governed adapters

05

Evidence problem

intent record, policy decision, tool receipt, and replay package

06

Testable outcome

Denied action stops; permitted action produces a correlated receipt; changed input surfaces.

Integration surfaces

Where control meets the environment.

Architecture classes—not claimed partnerships.

Public knowledge index

Search Finality Group

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