Agent governance

Your organization is already running AI agents. Governance now means being able to say who allowed each action, what it did, and show the record.

JUTEQ Governance works with security, platform and risk teams in regulated organizations that are putting agents to work. We help you approve a rollout you can stand behind, decide what an agent may do at the moment it acts, and keep evidence your audit and assurance functions can use.

The argument

Three things have changed, and they change what governance has to mean.

1

Agents moved from suggesting to acting.

A year ago the risk was a bad answer. Now the risk is a real command, a real file, a real commit, a real API call, often with nobody watching. The incidents in the field were rarely agents going rogue. They were agents doing exactly what they were told, against systems nobody meant to expose.

2

The controls you own were built for the earlier risk.

A gateway sees the calls routed through it, not the shell or the repository. A sandbox limits the damage but does not judge the action. Data loss prevention was tuned for a person moving a file, not an agent composing one from three queries. And a human-in-the-loop step assumes a human is there, which your autonomous agents, by design, do not have. None of these are broken. They watch a control point that has moved.

3

The people asking questions have changed, and they want a record.

Underwriters, sector supervisors and your own audit committee are starting to ask what your agents did, on whose authority, and how you know. A policy document does not answer that. A model card does not either. The answer is a record of the action itself, kept in a form someone outside your team can rely on.

So governance is no longer only a framework and a register. It is a decision at the moment an agent acts, and evidence of that decision afterwards. That is the work we do.

Available now

Two ways to start, both delivered by the people who will do the work.

Your own agents

The agents your teams built, governed where they run, with a record from the first week.

For organizations already running autonomous agents they built themselves, however they were built, on whatever platform. We start with a short assessment of where those agents act today and on whose authority. Then we put the decision at the point of action, block what should not happen, and keep the record. AgentGate, in private beta, is the layer that does it.

  • Which agents are running, on whose authority, touching what
  • Which actions are governed and blocked, and which are not yet
  • A first evidence set your audit team can react to
Fixed-fee start · your environment, Canadian region available
Coding agents

Coding agents under your identity provider, in your own cloud.

For organizations whose developers are already using coding agents, or whose security review is holding a rollout up. We bind the agents to your identity provider, apply managed settings by group, and route identity-stamped activity into the monitoring you already run. Built on controls your vendors already ship, so there is nothing new to procure for this phase.

Fixed fee · four to eight weeks

Our practice covers financial services, insurance, healthcare, public sector and telecom, where the evidence requirements are hardest and where we have already built agentic, cloud and data platforms.

On the calendar

OSFI Guideline E-23 takes effect on 1 May 2027.

It applies to federally regulated financial institutions and explicitly brings AI and machine learning models under model risk management. It does not yet name agents. The institutions we work with are not waiting for it to: an agent that acts on a model's output is exactly what an examiner will ask about, and the record of that action is what they will want to see. Whatever you will be able to show by May, you are building it this year.

Who

Practitioners first. We build the platforms these agents run on, so we know where the gaps are.

JUTEQ is an integrator. We design and deliver agentic AI, cloud and data platforms inside regulated enterprises, including financial institutions with real supervisors and real audit cycles. The governance practice exists because the same question came at the end of every engagement: it works, now what did it do? We decided to answer that properly.

Rakesh Gohel
Founder, JUTEQ

Leads enterprise AI strategy, governance and delivery. Speaker at the Gartner CIO Summit on enterprise AI adoption.

Notes

We publish what we find, including where the controls do not hold.

Three pieces are in progress this autumn. Each title becomes a link the day it is published; until then it is a commitment, not a record.

ForthcomingSept 2026

A vendor-neutral procedure for bounding what an agent may do

Permission bounding for non-human identities, scoping sub-agents, session tokens, and a kill-switch playbook. Written to be used without buying anything from us.

Forthcoming30 Sept 2026

Our comments on the Agent Baseline draft

Four submissions to the industry baseline for agent security. Filed on the public record on the comment deadline, and linked here the same day.

ForthcomingOct 2026

What E-23 will ask about agents, even though it does not say the word

Reading the model risk guideline from the point of view of an agent that acts on a model's output.

Notes arrive by email when they are published, not on a schedule. Ask to be on the list.

Private beta

AgentGate, by JUTEQ. The record of what your agents actually did, and a stop for what they should not have.

The evidence layer this practice needs, deploying now with a limited number of organizations ahead of general availability. If you want to be one of them, the product page is where to ask.