Consequential action
multi-agent execution across tenant and application boundaries
Solutions
AI Platforms
Apply authority, policy-bound execution, and evidence to multi-agent execution across tenant and application boundaries.
Domain control model
Start with the consequence.
Architecture reflects the domain's real control and evidence needs.
Authority problem
portable identity, delegated scopes, tenant binding, and revocation
Policy problem
tool eligibility, data boundary, rate, spend, and consequence class
Execution problem
deterministic control points around probabilistic systems
Evidence problem
authority decision, adapter call, output digest, and replay inputs
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.
- agent runtimes
- model gateways
- tool registries
- observability pipelines