Solution · AI Operations

You've got AI agents doing things and you no longer fully control what. Before one causes a mess, here's what to do to rein them in —and we leave it in place.

You started with one agent that helped, then another, and now several are acting on real systems —sending emails, changing data, spending on model calls— and you're less and less sure what each one can do or what would happen if one overstepped. It's not paranoia: an agent acting on its own doesn't warn you it's gone rogue, you find out once it's already done something. Before governing anything, you have to stop the immediate risk: least-privilege permissions, human approval on what costs money or touches people, and a real kill switch. We put that in place now; and on top, the stable control so it doesn't happen again.

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The problem

An agent acting on its own doesn't warn you it's gone rogue. You find out once it's already done something.

An agent takes an action you didn't expect —sends an email, changes a record, runs a charge— and nobody had explicitly told it it couldn't.
You gave it a task and it chained ten steps and calls to other systems on its own that nobody reviewed: it does more than you thought you'd asked.
Cost spikes with no warning: the agent loops or over-processes, and the model bill shows up at month end, not when it happened.
If you wanted to stop it dead right now, you wouldn't know how without shutting down half the system —there's no kill switch, there's a main breaker.

Cost of staying the same

The cost of an uncontrolled agent isn't a number until it is one, all at once: data that shouldn't have left, an email that shouldn't have gone out, spend nobody approved, an action on a customer you now have to explain. It doesn't fail the day you built it —it fails the day one steps out of its lane and nobody notices in time. Waiting for the scare to set limits is paying the incident first and the containment after. Cheap is the other way round.

The solution

We put a kill switch, least-privilege permissions and approval on the sensitive stuff in place now —and, if you want, continuous governance on top so it doesn't happen again

1Quick diagnosis: which agents you have live and what each can touch today —the map that doesn't exist right now— and where the real risk is of one stepping out of its lane.
2Immediate containment: least-privilege so each agent can only do what its task needs, mandatory human approval on actions that cost money or touch people, and a kill switch that stops any agent dead without shutting the rest down.
3Limits and alerts: cost and scope caps per agent, and alerts when one behaves outside the expected —so you find out before the incident, not in the month-end bill.
4From containment to stable control: if you want this to not depend on watching it by hand, we build the continuous governance function on top —a trail of every action, incident management and compliance. The "how you actually govern a fleet" we develop in [governing your company's AI agents](/soluciones/gobernar-agentes-ia-empresa): this gets you out of the bind, that keeps it under control.

What changes

What you stop losing

An agent can no longer do what nobody forbade: with least-privilege, it can only do what its task needs, so the unexpected action stops being possible before you have to regret it.
Mechanism
What costs money or touches people stops running unseen: it goes through human approval, and the rest stays automatic. Brake where it matters, speed where it doesn't.
Mechanism
Going rogue stops being discovered in the bill: with cost caps and odd-behaviour alerts, you find out when an agent starts drifting, not once it already did.
Mechanism
What we measure: agents with least-privilege applied versus the total, sensitive actions that go through approval, agent incidents caught by alert versus by damage, and time from "something's off" to "agent stopped".
What we measure

Spec sheet

Work it removes: having AI agents acting in production with no scoped permissions, no approval on the sensitive stuff, and no way to stop one if it goes rogue
Typical setup: 1–2 weeks for containment; continuous governance optional, in phases
Input: your AI agents in production and access to their permissions, their connected systems and their logs
Output: containment operating: a map of what each agent touches, least-privilege permissions, human approval on the sensitive stuff, a kill switch and cost/behaviour alerts
Works with: Tus agentes de IA en producciónSSO / IAMTu stack de logging
Can connect to: Your identity and permissions stackYour observability and logging stackImplementa's AI Operations containment and governance framework
What we measure: agents with least-privilege applied versus the totalsensitive actions that go through approvalagent incidents caught by alert versus by damagetime from "something's off" to "agent stopped"
Good fit for: companies with one or more AI agents already acting in production who feel it slipping out of hand and want to contain the risk before one causes an incident
Not a fit for: anyone who doesn't yet have an agent in production; with no live agents there's nothing to rein in —there the conversation is how to build the first one right

Frequently asked questions

It's the step before. This is containment: stopping the immediate risk of an agent doing something it shouldn't —least-privilege, approval on the sensitive stuff, a kill switch. Governing is the continuous function that keeps it that way over time: policies, a trail of everything, incident management and compliance. Here we start with the urgent (that no agent gets away from you today); if you want it to not depend on watching by hand, we build full governance on top, which we develop in [governing your company's AI agents](/soluciones/gobernar-agentes-ia-empresa).

No. Containment applies to what you already have live: we scope permissions, add human approval on the sensitive actions and wire up the kill switch without having to shut down the agents that work fine. What changes is that, from that point on, none can do more than its remit and any one can be stopped dead.

That's what the first step is for. Almost nobody has the map of which agents are live or what each can touch; the diagnosis surfaces it and flags where the real risk is —the over-permissioned agent, the one acting without review, the one that can spend with no cap. You don't need to arrive with the problem pinpointed; you arrive with the feeling it's slipping out of hand and we make it concrete.

Want it running in your business?

You’ve pinned the problem. We ship the fix and leave it measured.

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