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14 September 2026

Clients and rules

Who is watching your AI agent?

PubMatic launched its AgenticOS governance architecture on 5 August. Buyers can set limits for budget, targeting and creative approval. It records each action. When an agent leaves the rules, it asks for human review.

That is the bit to borrow. Your agent may be quick, but it should not have an unlimited card and no named person nearby.

A hand holding a phone that shows an AI chat answer with a sponsored result

Before it runs

Set budget, targeting and approval limits before the first test.

When it breaks

Give the person who pauses the test authority to act immediately. Keep a record of the change that triggered the pause.

Why it matters here

A large agency can add a governance team to the process. A small one needs a clear stop rule. That is usually one name and one number.

The worst version arrives in a client report. Spend moved, nobody knows why, and the person who could stop it was not told. The invoice will not explain it.

Try this on your next project

The performance lead and account lead agree one cap and one stop owner for the next test. Thirty minutes is enough.

01

Set the budget cap

02

Choose the person who can stop it

03

Require approval for exceptions

04

Keep a record of each change

Try it now

Turn [test plan] into a one-page control sheet for [client name]. Include the budget cap, allowed targeting changes, approval limit, stop owner and where to record changes. Use plain English.

PubMatic

5 August 2026

AgenticOS governance architecture for agentic advertising

Also in that Monday’s email

Worth watching: Gemini can turn selected files, email and chats into a brief.

Worth watching: OpenAI's Data agent can investigate company data.

Safe to ignore: Acrobat's agent handles internal admin, not client work.

Run it properly

Using AI honestly: a practical ethics check

Review the limits of a workflow before an agent acts for a client.

Members get every briefing five weeks earlier.

They had this one while there was still time to act on it. In AI, a month is a long time: this week’s briefing is already with them.

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