Regulayer™

Regulayer™ checks current human authority before consequential AI acts, then leaves a record.

Before the agent acts, it checks whether a named person still allows that action. If not, it stops it. Either way it keeps a record you can hand to an inspector.

It runs outside the system it governs and independently of the model provider, so the governed system cannot switch it off.

An airlock does not slow anyone down. It holds one door shut until the other is cleared.

Move money

An agent asks to pay $62,000. Dana's authority covers payments up to $50,000. The action stops before it reaches the payments system, and the record shows who held the authority and why it stopped.

Generative AI can drift from your instructions. Agentic AI can act beyond them. Regulayer™ keeps human authority in control before consequential answers or actions are released.

AI acts. Humans authorize. Regulayer™ enforces, and proves it.

Generative and agentic AI become consequential when their outputs or actions affect people, systems, assets or decisions. They can keep interpreting and acting after the human decision that governed them has changed. Regulayer™ holds the authority that currently governs the work, decides whether the machine may proceed under it, and produces evidence of what happened.

The consequential answer or action is governed before it is released. It can be allowed, corrected, held or stopped.

1. Current named-human authority. Held outside the model as a dated, revocable decision.
2. Pre-action, fail-closed enforcement. The check runs before the action. No match, no action.
3. Bound to the authority in force. The record names the exact decision that was in force at that moment.
4. Sealed evidence. Written at the moment of the decision.

An authorized goal does not authorize every action.

Agents can pursue a legitimate objective through means a human never approved. Regulayer™ is designed to keep enforceable human authority between an autonomous system and consequential action.

Regulayer™ separates the goal from the authority to take the consequential step. The action is held before execution and then allowed, corrected or stopped under current human authority.

Why the authority sits outside the AI.

Pre-action control serves a different purpose from detection and monitoring after an event.

1. It is current, not historical. A human decision can change. The control answers to the newer one, including for work already in flight, and the decision it replaced is kept and marked as no longer current.
2. It does not depend on the model provider. Regulayer™ is vendor-neutral and model-provider independent. Changing model, or vendor, does not change who holds the authority or who can verify the evidence.

The architecture is the same. The consequential action changes.

1. Agentic AI. Agents can call tools, communicate and act. Human authority governs the consequential step before it proceeds.
2. Robotics. Current human limits can govern a machine action before physical execution.
3. Vehicles. Authority can remain attached to consequential decisions while the system is moving and connectivity is limited.
4. Industrial systems. Current approvals, limits and operating authority can govern changes to machine state.
5. Human-supervised communication. The human instruction governs what the system is actually permitted to send or release.
6. Professional work. Human authorship, review and approval can become part of the evidence surrounding consequential work.
7. Autonomous laboratories. Current protocols, approvals and limits can govern a consequential experimental or robotic action.
8. Finance. Current limits and approvals can govern consequential transactions or actions before release.
9. Insurance. Current policy terms, authority limits and approvals can govern a consequential claims or underwriting decision before it is issued.

Your authority runs where your system runs.

Deploy it on your own infrastructure: local, private and on-premises configurations are supported where the deployment allows, and enforcement and evidence signing require no network egress.

The underlying work does not need to be sent to Regulayer™ for enforcement or evidence signing.

The core authority, control and evidence functions are designed to operate as a lightweight layer on ordinary hardware, with no outbound call by design.

Regulayer™ can be licensed at the level the control problem requires.

1. The engine. The complete Regulayer™ engine for integration into an enterprise system, platform or product.
2. One capability. A specific control or evidence capability where the problem is narrower.
3. Inside somebody else’s product. OEM and platform licensing, for embedding current-human-authority enforcement and evidence into what another company ships.