Post-launch governance for AI agents

The control layer for AI agent autonomy

AMP sits between your agents and consequential actions—enforcing policy, escalating exceptions, and turning proven performance into progressively greater autonomy.

Control infrastructure for AI agents in production.

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One decision layer. Every agent action.

Autonomy should be earned

AMP governs what agents are allowed to do while they are running—not just how they were evaluated before launch.

Control

Evaluate every consequential action against your policies, permissions, and operating context before it executes.

Oversight

Let routine actions proceed. Route uncertain, high-risk, or exceptional decisions to the right human reviewer.

Earned autonomy

Use outcomes and reviewer decisions as evidence to safely expand what each agent can do on its own.

Informed by our work with Stanford SAIARead Our Approach →

Govern actions in real time

AMP sits between the agent and the systems it can change. Each proposed action is checked against policy, permissions, risk, and contextbefore it proceeds.

Allow safe actions automatically, block prohibited ones, and keep a complete record of what was requested, decided, and executed.

No guesswork required. Operational control at the moment it matters.

A blueprint used to review a gemstone design

Escalate with context

Human review is not the default for every action. It is a targeted response when risk, uncertainty, or policy requires judgment.

AMP routes exceptions to the right reviewer with the evidence they need to approve, reject, modify, or roll back an action quickly.

The result is an AI that operates with Less review overhead. Better decisions.

Finished gemstones arranged in the Inquiryon mark

Expand autonomy safely

Every decision creates evidence: agent performance, policy outcomes, reviewer choices, overrides, and rollbacks. AMP turns that history into a basis for earned autonomy.

Expand permissions where performance is proven. Tighten controls where it is not. Give each agent exactly as much freedom as the evidence supports.

Why Inquiryon

AI agents will only become more capable. We believe autonomy should grow with evidence—not assumptions. Inquiryon is building the control infrastructure that lets organizations deploy agents with clear policy, accountable decisions, and a path to greater independence.

Our Team

Jeshua Cheng

Founder

Hi, I'm Jeshua. I founded Inquiryon to help organizations put capable AI agents into production without giving up control. AMP brings policy, human judgment, and operational evidence together so teams can expand autonomy responsibly.