Enterprise control plane for AI agents
Build agents, govern every action they take, and prove what they did — inside your environment.
Bring your own agents. Bring your own models. Bring your own tools.
The problem
Governing AI agents is a records problem.
between what organisations believe they can prove and what they can actually produce when someone asks.
The platform
Studio
One governed runtime. Agents auto-register as they ship.
Shield
Every action checked — including agents we did not build.
The governance spine
May this happen at all?
Declarative rules, never the model’s judgement.
How far alone?
Five levels of independence, set per capability. At its limit, it escalates.
What is owed in return?
Approve, evidence, disclose — or the write is blocked.
All three evaluated together, strictest answer wins — and the verdict is recorded with the action.
The control plane
Logging and observability tell you what an agent did. aXentic decides whether it may, before it acts.
1Before the action
Checked against the spine before it runs.
Refunds agent may issue refunds
Acts alone on refunds up to €1,000
2During the action
Every tool call checked again as it happens.
PII data restricted
Refund must be linked to its order
3After the action
Duties closed, and every decision kept.
Approval evidence attached to the refund
Talk to us
What happens next: we reply within two business days and set up a working session — on an agent you already run, or one you want to build: how aXentic would govern it, and what it takes to get it into production.
Or email us directly
info@axenticlabs.ai