The Architecture of Irreversible Action

The Architecture of Irreversible Action

We didn't come together to build "better AI." We came together because we recognized a fundamental engineering void in the autonomous stack: the absence of an Authority Layer.


In mission-critical environments like aerospace and power grids, systems are designed with clear execution boundaries. There is a "Point of No Return" for every action. I spent years engineering these boundaries at NASA and Boeing, and our team includes engineers from NASA, Boeing, ASML, and TSMC, where execution authority and deterministic enforcement are fundamental to system operation. We observed that while the industry is focused on making AI more "intelligent" (the Reasoning Substrate), no one is building the system that determines if that intelligence is authorized to act.

The Insight: Intelligence is not authority. A system can be infinitely smart but still suggest a command that violates safety or governance protocols. Without a stateless, deterministic gate to enforce admissibility at the moment of execution, autonomous systems remain experimental—not industrial.

Our Mission: We are bridging the gap between reasoning and reality. By leveraging high-fidelity intent signals and deterministic systems engineering, we ensure autonomous systems operate within provable, enforceable execution boundaries at runtime. These guarantees already exist in aerospace, semiconductor, and mission-critical infrastructure. We are bringing them to AI.

We didn't come together to build "better AI." We came together because we recognized a fundamental engineering void in the autonomous stack: the absence of an Authority Layer.


In mission-critical environments like aerospace and power grids, systems are designed with clear execution boundaries. There is a "Point of No Return" for every action. I spent years engineering these boundaries at NASA and Boeing, and our team includes engineers from NASA, Boeing, ASML, and TSMC, where execution authority and deterministic enforcement are fundamental to system operation. We observed that while the industry is focused on making AI more "intelligent" (the Reasoning Substrate), no one is building the system that determines if that intelligence is authorized to act.

The Insight: Intelligence is not authority. A system can be infinitely smart but still suggest a command that violates safety or governance protocols. Without a stateless, deterministic gate to enforce admissibility at the moment of execution, autonomous systems remain experimental—not industrial.


Our Mission: We are bridging the gap between reasoning and reality. By leveraging high-fidelity intent signals and deterministic systems engineering, we ensure autonomous systems operate within provable, enforceable execution boundaries at runtime. These guarantees already exist in aerospace, semiconductor, and mission-critical infrastructure. We are bringing them to AI.

Founder


Monica King is a systems engineer specializing in execution authority and deterministic enforcement in mission-critical environments. She founded Coherence Protocol to ensure autonomous systems operate safely at execution.


Founding Engineer


Felix Zhang is a founding systems engineer focused on execution control and safe-stop systems for autonomous systems.


Founder


Monica King is a systems engineer specializing in execution authority and deterministic enforcement in mission-critical environments. She founded Coherence Protocol to ensure autonomous systems operate safely at execution.


Founding Engineer


Felix Zhang is a founding systems engineer focused on execution control and safe-stop systems for autonomous systems.


Our team has built systems where execution correctness is a hard requirement, not a best-effort guarantee.

Our team has built systems where execution correctness is a hard requirement, not a best-effort guarantee.

Copyright © 2026
Defining the boundary between reasoning and action

Copyright © 2026
Defining the boundary between reasoning and action