Run your own due diligence with Claude before you buy a small business.

Eight AI prompts build the market, customer, and revenue analysis on your own data room, no firm required.

Hey Adopter,

You found a business worth buying. A $2M agency, a $6M ecommerce brand, a regional services firm with steady cash. The numbers in the data room look fine. And the part where you actually pressure-test whether the market is growing, whether the customers stay, and whether the revenue plan is real? You are about to do it on a Saturday with a spreadsheet and a gut feeling.

That is how most small acquisitions happen. Not because buyers are lazy. Because real commercial diligence costs more than the deal can justify. A boutique will run the analytical build for around $50,000, and on a small target it buys a decision you were going to make anyway. So you skip it. You buy half-blind. Then you learn in month four that the top two customers were already halfway out the door and the growth story was one good quarter, not a trend.

I advise companies on putting AI to work where it earns its keep, and this is one of the clearest cases I have seen. The grunt work inside a $50,000 diligence build is the kind of structured, repeatable analysis a capable model handles well. Market sizing. Competitive position. Cohort retention. A revenue model built from drivers, not the seller’s optimism. The memo at the end.

So I built the whole thing as eight prompts you load into your prompt manager and run in order on your own data room. It will not do everything a firm does. It gets you about 80% of the way, which on a small deal is the gap between buying blind and buying informed.

Here is the pack, what each prompt does, and the one that decides whether you can trust the output.

🔒 The rest of this edition is for premium subscribers.