Service · Agent governance
AI agent governance
The agent is the newest employee in your company: it works at night, touches your systems and decides with context. Agent governance gives it a contract — explicit permissions, human approval on the irreversible, audit trails and an owner with a name.
What it includes
The agent's contract, piece by piece.
Action and data permissions
In writing, before the first run: what it does alone, what needs approval, which data it reaches, what is forbidden. Defined together with the agent's design, not after the incident.
Human approval on the irreversible
Payments, shipments, deletions, sensitive external communication: the irreversible list is defined in advance and every item passes through a person. We automate everything except the decision to touch production.
Audit trail per decision
Every agent action leaves a queryable record — observability is the vehicle. Periodic audits verify that declared permissions and actual behavior match.
An owner with a name
Every agent domain has an owner who answers for its permissions and conduct. Accountability is not delegated to the agent or diluted into the team.
Who it is for
If you have agents operating, you already need this.
Board and compliance
The question who authorized this agent and who answers for it has reached your table — or will. Agent governance is the documented answer, backed by traces.
Companies on the ISO 42001 route
The standard requires assigned accountability for every AI system. The agent-governance layer is exactly that requirement as code: the natural extension of general governance.
Teams deploying their first agent
Governing costs little on day one and a fortune after the incident. Permissions get defined when the agent is designed — before it touches customers or money.
Frequently Asked Questions
Agent questions, answered straight.
What is AI agent governance?
It is governance applied to the newest worker: the agent. It means explicit permissions for what it may do alone, human approval for the irreversible, traces of what it did and why, and limits on reachable data. An ungoverned agent is an employee without a contract — with access to your systems.
What permissions does an AI agent need?
The minimum its job requires, written down before the first run: which actions it may take alone, which require human approval, which systems and data it can reach, and what it is forbidden to touch — payments, deletions, sensitive external communication — however useful it might seem. Least access is not distrust: it is design that survives mistakes.
How do you audit an AI agent?
With queryable traces of every decision: what came in, what the agent decided, which tools it used and what it produced. An agent audit also verifies that declared permissions and actual behavior match, and that the irreversible always passed through a person. That is checked before production and watched after.
What is AgentOps?
It is the discipline of operating AI agents in production — the DevOps equivalent for the agentic worker: deployment with guardrails, decision observability, permission management and continuous improvement. The name is new; the practice is the operation of systems that learn and act.
Who is accountable for what an AI agent does?
A person, always, and their name is written down before launch. The agent executes; accountability is not delegated. That is why the irreversible passes through human approval and every agent domain has an owner who answers for its permissions, its data and its behavior in production.
Next Step
The agent's contract gets signed before its first day of work.
Free Diagnostic over WhatsApp: tell us which agents run and we will tell you which permissions, approvals and traces they are missing.
Book a DiagnosticAI governance · AI agents for business · AI observability · AI consulting
DIRECT WHATSAPP · IN ENGLISH OR SPANISH