Continuous improvement, under human authority.
Agents that improve themselves without oversight are a risk no board should accept. Agentrify is designed around the opposite principle: agents get better, people stay in charge.
Every agent has an identity and an owner
Each agent is registered with its own identity, so its actions can be traced, and a named person who answers for it.
People approve every production change
Evolve proposes; owners decide. No improvement reaches production without evidence and approval.
Agents cannot widen their own authority
Improvements may make an agent better at its job, never give it a bigger job. Authority changes go through the Delegation Map, outside the loop.
Every version can be reversed
All versions are kept with their test results and approvals. Any accountable person can roll back instantly, without having to argue the case first.
Evidence is created as work happens
Tests, approvals, deployments and incidents are recorded at the time, so assurance can rest on records rather than recollection.
Independent oversight is built in
Agentrify is designed to hand monitoring and evidence to Praetor or your own risk tools, so the builders are not the only ones checking.
Built for where regulation is heading.
Agentrify's controls are designed with current public frameworks in mind. They support, but do not replace, your own compliance assessment.
Model AI Governance Framework for Agentic AI
Published January 2026: bounding risks upfront, keeping humans meaningfully accountable, and technical controls across the agent life cycle.
MAS expectations for financial institutions
Board oversight, inventories of AI in use, and controls across the life cycle.
EU AI Act
Human oversight of high-risk systems: understanding limitations, and the ability to intervene or stop.
Summaries of public material, not legal advice.
Shape the platform with us.
We are working with a small number of organisations and engineering teams to finalise Agentrify before release.