RiCo — Runtime Integrity Control

If an AI system cannot justify an action at execution, it should not proceed.

RiCo enforces execution integrity by determining whether an action remains valid at the exact moment it becomes real-world effect.

Sits between agent decisions and real-world execution (APIs, systems, state changes).

Most AI systems continue executing even when they should have stopped.

RiCo introduces a control layer at the execution boundary, where reversible and irreversible actions are treated differently, and where unresolved authority prevents execution rather than defaulting forward.

Execution Model

Where execution is decided

A foundational execution and authority flow for governing how actions transition from intent into real-world consequences.

RiCo Execution Model V1.0 diagram

Execution Boundary

The point where actions stop being plans and become outcomes. RiCo validates authority, state consistency, and delegation integrity before execution proceeds.

Authority Resolution

Convergence is not assumed. RiCo resolves whether any authority remains admissible in the current state, and whether one authority becomes binding.

Fail-Closed Systems

If authority cannot validly resolve, execution does not occur. Not deferred. Not logged. Refused.

Why it matters

Throughput without governance becomes liability.

RiCo is designed for environments where execution pressure is real, authority is conditional, and the cost of proceeding under unresolved conditions is too high.

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