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The governance checklist to run before AI touches your marketing

Before AI gets the keys to your marketing accounts, your CFO will want to know four things: who set the limits, who can see what changed, who can pull access, and where it's all written down. Here's the pre-launch checklist that answers them.

Governance is the question your CFO asks before launch, not after

When you bring AI into your marketing accounts, the conversation stops being about features and starts being about control. A finance leader does not care that the tool optimizes bids overnight. They care what happens when it optimizes the wrong way, who notices, and how fast someone can stop it.

That is what governance means here: a small set of answers you can give before the AI touches a single campaign. Not a policy binder. Four concrete questions, each with a name and a mechanism attached. If you can answer them on one page, you are ready to launch. If you cannot, you are about to hand spending authority to something nobody is accountable for.

Who set the limits, and are they written down

Every automation should run inside boundaries a human chose on purpose. This is the heart of guardrail-driven automation: the AI gets room to reason and act, but the edges are fixed in advance. Spend caps. Daily change ceilings. Audiences and keywords it may never touch. Thresholds above which it must ask before acting.

The checklist item is not "do limits exist." It is who set them, when, and where the record lives. A guardrail nobody owns is a guardrail nobody will defend in a budget review. Write down the cap, the person who approved it, and the date. If the AI proposes a change that would breach the cap, the right outcome is a request for approval, never a silent override.

  • Spend ceiling per account and per day, with an owner's name beside it.
  • Change rate limit so no single night rewrites the whole account.
  • Exclusion lists for brand terms, protected audiences, and campaigns under manual control.
  • Approval threshold above which the AI pauses and routes to a person.

Who sees what changed, in language a human reads

The enemy is the black box that spends money and cannot explain or undo what it did. The defense is structure. Think of every automated move as a Trigger, Action, Impact record: what condition fired, what the AI changed in response, and what happened to the numbers afterward. When each action carries that shape, "what did the AI do last week" becomes a list you can read in a meeting, not a forensic project.

So the checklist item is visibility before launch, not after the first surprise. Confirm that every change produces a plain-language entry, that those entries are searchable, and that someone reviews them on a set cadence. You can see how this framing works in practice in the Trigger-Action-Impact model and in the broader case for guardrail-driven automation. The goal is simple: anyone who asks "why did this happen" gets an answer in seconds.

Who can revoke access, and how the AI connects in the first place

How a tool connects to your accounts is a governance decision, not an onboarding detail. The safe default is read-only, auditable, revocable access first. The AI should be able to read your accounts and propose or stage changes under explicit, logged permissions, and you should be able to widen or pull that access at any moment without calling support.

Before launch, name the person who holds the revoke switch and confirm they can use it alone. Test it. Connect, then disconnect, and verify the access actually drops. An automation you cannot turn off is not bounded autonomy. It is just autonomy, and that is exactly the thing a CFO will not sign off on.

Where each action is logged, and who reviews the log

An audit trail only counts if it survives the people who built it. Confirm that logs are retained, that they capture both AI actions and human approvals, and that the record cannot be quietly edited after the fact. This is what lets you reconstruct any week of activity for a stakeholder who was not in the room.

Reversibility belongs here too. For every category of change the AI can make, you should know how to undo it and how long that takes. Bounded autonomy means every action is visible and reversible, so a mistake costs you an afternoon, not a quarter. Pair the log with a named reviewer and a fixed cadence, and governance stops being a document and becomes a habit the account runs on.

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See which checklist items you already pass

Before you write a governance doc, find out where your accounts actually stand. The free Readiness Score walks the same limits-visibility-access-logging questions in 4 minutes, no login.

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