Who it's for · CFOs and controllers

AI for consumer brand finance teams

Finance at a $10M to $100M consumer brand is usually one to three people doing the close, the reporting, the forecast, the lender and the board. Most of their week goes to rebuilding the same reports. I build a model that knows your definitions and sources of truth, and put it to work on that recurring reporting. You keep the judgment and the sign-off; the copying and pasting goes away.

Book a 30-minute audit call

What comes off the team's plate

Same question, two answers

"Are we going to hit the year?" Illustrative example
Out-of-the-box AI

Year-to-date revenue is $14.2M after nine months, so at this pace you will finish around $18.9M against a $22M plan, a 14% miss.

Straight-lines nine months on a business that does a third of its year in the fourth quarter.

Trained on your business

Year to date is $14.2M, 2% behind plan. Q4 has been 34% of the year for three years running, which points to $21.5M, about $500K short. The gap is wholesale: two reorders slipped into January. Direct is on plan. Margin is ahead by 60 basis points, so contribution should land close to plan.

Your own seasonality, channel by channel, and the difference between revenue that is late and revenue that is lost.

What stays with your team

The judgment calls: accruals, reserves, what goes in the forecast, what to tell the board. The model drafts; a person on your team reviews and signs. Nothing goes out without them.

Why an operator builds it

I have been the COO who owned the P&L, built the long-range plan and sat through the lender exams, and I built these workflows for my own team first. Each engagement starts with an operations audit: two to three weeks, fixed fee, with the first workflow running before it ends.

Questions

Is our financial data safe?

Everything runs in accounts you own, with access you grant and can revoke. I work from read access wherever possible, and nothing is stored outside your systems when the engagement ends.

Will this conflict with our outside accountant?

No. Your accountant or bookkeeper keeps closing the books. The model works on the reporting built on top of them, and usually makes their questions faster to answer.

How accurate is it?

As accurate as the definitions it is given, which is why writing them down comes first. Every new workflow runs next to the old way until the numbers match, and every figure traces back to its source.

We already have a dashboard tool. Why this?

Dashboards show numbers. This writes the read: what moved, why, and whether it matters, in your definitions. Most teams keep the dashboard and stop writing the commentary by hand.

Thirty minutes. Bring one question your team answers every week.

I'll show you how generic AI answers it, how your best analyst would, and what it takes to close the gap.

jim@trimtabops.com