Agent

AI usage oversight pack

Once agents are running across several teams, the question IT gets asked is simple and hard: what have they been doing. This agent compiles the picture, covering which agents ran, which sources they read, where a person approved and where something was escalated. IT approves the pack before it is circulated.

How it runs

Step by step

01

Gather the period's activity

Agent runs are collected for the review period, with the team, the agent and the sources involved.

02

Show the rights in force

For each agent, what it may read and what it may change is set out as configured, so drift from the approved record is visible.

03

Record where gates fired

Where an approval was required, the pack shows whether it happened and who gave it.

04

Flag escalations and refusals

Questions the agents escalated or declined are listed, which usually says more about your documentation than about the agents.

05

Draft the review pack

The pack is drafted in the format your security review expects, with the register of approved use cases set against actual use.

06

IT approves before circulation

IT reviews the pack and decides who sees it. Nothing is circulated automatically.

The harness

Exactly what this agent can see, touch and change

The same five controls sit behind every ollo agent. These are this one's settings — visible before you build it, not buried in an admin screen afterwards.

Context

What reaches the model

IT, platform and security leads who have to answer for AI use at a governance forum, and teams preparing for an internal or customer security review.

Escalation

When it asks a person

IT approves the pack before it is circulated to security and the business

Applications & Rights

Which tools it uses, and what it may do in each
AWSRead only
Google CloudRead only
JiraRead only
SlackRead only
Google DriveWrites newCreates new records or documents. Never edits, moves or deletes anything that was already there.

Verification

How you know it’s right

Every claim links to the document it came from. A statement the agent cannot cite does not make it into the output — which is what makes the result reviewable in minutes rather than re-read end to end.

Who it’s for

IT, platform and security leads who have to answer for AI use at a governance forum, and teams preparing for an internal or customer security review.

What you’ll need

  • A register of approved agents
  • Connected activity and ticket sources
  • An agreed review period and format
  • An IT owner to approve the pack

What you get

  • An activity summary per agent and team
  • A rights and gates record
  • A list of escalations and refusals

What it doesn’t do

It reports on the agents and sources you have connected. It is not a security monitoring tool, it does not watch your network or your endpoints, and it cannot tell you about AI use outside the platform.

How you get it

We build the first one with you

Not a template you configure alone. We sit with your team, build it on real data, and hand over the controls.

01

Scope

One session with the people who actually do the work. We agree what the agent reads, what it may write, and who approves.

02

Co-build

Built on your own data, not a sandbox. You watch it being made, so you know why it behaves the way it does.

03

Handover

You own the controls. Change the context, tighten the rights, move the approval gate — without coming back to us.

What it replaces

Parts of the work currently spread across the categories below. It does not replace any of those products outright.

Manual evidence gathering before a reviewScreenshots pasted into governance decksGuesswork about who is using what
Estimated savingNot setNo figure ships until someone at ollo owns it and the method behind it.

Frequently asked

Does this replace our security monitoring?

No, and it should not be presented as one. It covers agent activity and configuration within the platform. Network, endpoint and identity monitoring stay with the tools your security team already runs.

Can it show AI usage outside the platform?

Only where you connect a source that records it. Staff using a consumer chatbot in a browser is not something this pack can see, and we would rather say that than let a governance forum assume otherwise.

What is actually in the pack?

Which agents ran and for which teams, the sources each one read, the rights it holds, whether required approvals happened, and what it escalated or refused. The format is set during the co-build to match the review your forum runs.

Who is allowed to see it?

Whoever IT decides. The pack is produced for an owner and circulated only after they approve, because activity data across teams is sensitive in its own right.

Let's Build

AI is a capability you build. Let's build it together.

30 minutes with our team and you'll leave with a real plan — not a sales pitch.

AI usage oversight pack | ollo