Every buyer who looks at your company applies a silent discount for AI risk. You cannot negotiate a number nobody states. An assessment states it — and shows what the discount misses.
Founders believe the moat is the product. The assessment usually finds it elsewhere: the seven years of structured customer data, the workflow lock-in, the certification stack, the payer integrations. Positions a competent team cannot replicate in a quarter — whatever the demo looks like.
That finding is your equity story: the weakness a buyer would attack, restated as the precise location of value, with the evidence attached.
The moat does not sit in the product code. It sits in three defended positions: the structured claims archive (M1), the certification stack (M1), and the payer integrations (M2). The equity story should be built on these — not on features a competent team can replicate in a quarter.
The moat analysis is written for the other side to rely on: same protocol as our buy-side work, findings not subject to negotiation, unfavourable ones reported unchanged. That independence is what makes the favourable findings worth something at the table.
Paired with an AI plan for the information memorandum, it converts the discount every buyer silently applies into a priced upside — before the first management meeting.