A system we built and run
Let AI do the analysis and keep the deciding — every change is checked, approved by a person, and measured against a goal set up front.
Book an AI auditThe point of it
We built Campaign Manager because managing our own Google Ads meant the same weekly grind: comb through every account, spot what needed changing, second-guess it, then hope you'd remember later whether the change actually helped. Now a set of focused checkers watches each account and writes specific, testable changes. The system tries to knock them down before anyone sees them, a person approves what survives, and it measures every change against the prediction it made going in.
Before anything reaches a person, the system tries to prove its own ideas wrong. It confirms the numbers are real, drops changes that would do nothing, and throws out anything that repeats a past mistake, so what lands on your desk is a short list you can trust.
The checkers can only read. No change touches a live account until a person approves it and confirms again at the moment it runs. AI does the analysis; a person does the deciding.
Every change says up front what success and failure will look like and which number decides. The system checks the real result on schedule and feeds it back, so you build a track record instead of a pile of guesses.
Built for us first
This is what we built to run our own companies. Because we built it, we can rebuild it around yours.
Strip away the ad-account framing and Campaign Manager is one repeatable loop: propose a change, try to disprove it, get a person to approve, run it, then measure against a prediction made in advance. That loop fits any high-stakes decision where you want AI to do the analysis but not the deciding, and we'd build that version around how your business actually works.
Point the same loop at sales data instead of ad data. It surfaces falling margins, expiring contracts, and reorder candidates, catches the false alarms, and a buyer approves before any price or stocking decision is acted on.
A price change is exactly the kind of call you want proposed but not run on its own. The system recommends a move with an expected effect, tests the reasoning, a person approves, and the result is measured against the target set going in.
Reorder calls carry real money and real downside. The system proposes the change, drops its own weak ideas, sends the survivors to a person, then checks weeks later whether the reorder hit its predicted outcome.
Any recurring decision fits the same shape, from splitting budget across channels to managing vendors. The value is the trust layer: a check that catches bad calls early, and an approval gate so AI never acts alone.
Questions
It manages Google Ads accounts. Focused checkers watch each account and write specific, testable changes. The system tries to disprove each one, files the survivors for a person to approve, runs approved changes with a two-step confirmation, and measures every change against a goal set before it was made.
A chat window looks at one account once for one skilled person. It won't run a full set of checks every week, won't try to disprove its own ideas, has no record of what failed last time, and won't measure whether its advice worked. Campaign Manager builds that discipline in, so it holds up no matter who is at the desk.
Yes. The Google Ads build is the proof; the real product is the loop — propose, try to disprove, get a person to approve, run it, then measure against a prediction. Anywhere you want AI to propose and a person to approve high-stakes calls, the same foundation fits, and we'd shape it to your work.
Start here
Every engagement starts with an audit — a fixed fee, in writing. If Campaign Manager, or a version of it shaped around your business, is the right move, we build it. If the answer isn't AI, we'll say so.
Fixed feefixed durationa verdict you keep either way
