Plan
Intent, made reviewable
The agent's proposed action is expressed as a plan a person can read before it runs, rather than as a black-box call already in flight.
The Stack Behind Every Engagement
Four disciplines, one accountable team - depth where it actually changes the outcome.
AI Agents That Do Real Work, Under Real Control
Multi-agent systems that execute real workflows, with every action gated and logged.
An agent that can only suggest is a chatbot; an agent that can act without a gate in front of it is a liability. The interesting engineering is in between - deciding what an agent is allowed to do, proving the decision was made before the action rather than after it, and keeping a record that holds up when someone asks what happened last Tuesday.
Gate first, execute second, prove afterward
How an action is allowed
The same supervisor loop runs for every workflow - plan, gate, route, execute, grade, decide - so no action reaches a system without passing the same checks as the last one.
- Gate
Policy evaluation and approval
Policy is evaluated ahead of execution, with approval gates where a human decision is required. What an agent may do is a rule, not a prompt.
- Execute
Through the tools you already run
Actions are routed into the systems already in place - Airflow, Jenkins, GitLab, n8n - rather than into a parallel automation stack nobody else can see.
- Prove
An evidence trail per action
Every request is connected to its outcome: what ran, why it was allowed, and what it changed. Nothing runs unaccounted for.
Earned one workflow at a time
Autonomy
Autonomy is a control setting that expands as confidence and evidence grow - not an all-or-nothing switch on day one. In practice that means a workflow moves along this line only once the evidence from the previous stage says it should.
What the agent does
- Proposes an action and the plan behind it
- Runs only what policy allows, with approval where it is required
- Executes through existing pipelines and ticketing rather than around them
- Grades its own outcome against what it set out to do
- Escalates instead of improvising when the plan fails a gate
What you keep
- The rules - written as policy, versioned, and reviewable outside the agent
- The approval, wherever the blast radius justifies one
- The audit trail, connecting each request to its outcome
- The rollback path, defined before autonomy is widened
- The decision about which workflow is trusted next
Teams who get asked what happened
Built for
Platform engineers - automation that fits the pipelines already in place
SRE teams - execution that can be inspected after the fact, not only before
Infrastructure operations - one loop for every workflow, whoever holds the pager
Security teams - policy evaluated ahead of the action, with evidence to show for it
AutonomaOps
The platform
Where this discipline is productised: governed infrastructure automation, from intent through to verified evidence. The full picture - the three-phase model, the supervisor loop and the integrations - is on its own page.
The platformExplore AutonomaOps
Common Questions About AI Agent Governance
FAQ
The controls that decide what an AI agent is allowed to do: policy evaluated before an action runs, approval gates where a human decision is needed, and an evidence trail of what ran and why.
Every action passes a policy gate before execution, plus a human approval where the rules require one. When a plan fails a gate, the agent escalates instead of improvising.
Yes. Actions are routed through the systems you already run, such as Airflow, Jenkins, GitLab and n8n, rather than through a parallel automation stack.
Autonomy expands one workflow at a time, as the evidence from each stage shows it is safe - and you keep the rules, the approvals, the audit trail and the rollback path.
Agent governance is the discipline; AutonomaOps is the platform where it is productised for infrastructure automation.
Tell us which workflow you would automate first
Bring us the one you would not dare hand to an agent today. That is usually the one worth designing the gates around.