The first thing AI changes is timing. Instead of guessing whether now is the right moment, you can get a straight read on how the business would be received today — the free Exit Profile does exactly this in eleven questions, returning a value range, value drivers, likely buyer categories and an exit-readiness read, with no email required.
Then comes the Buyer Simulation. Before your business is shown to anyone, the AI works it like a skeptical acquirer: the questions they will ask, the discounts they will push, the weaknesses they will target — customer concentration, owner dependence, add-backs that will not hold up. Every one of those findings is a value leak you can fix in advance. A weakness fixed before market is a footnote; the same weakness discovered by a buyer is a price cut.
A traditional process starts with whoever the advisor already knows. An AI-driven process continuously researches the full buyer landscape — strategic acquirers, private equity platforms, PE-backed add-on platforms, family offices, independent sponsors, search funds and owner-operators — and scores each against your business, not against a generic profile. You review the list; nobody is approached without your written go-ahead. If you want the full comparison with the traditional route, see AI vs. Broker.
Most processes produce one document for everyone. The engine builds buyer-specific materials from one set of verified facts: a strategic acquirer reads about integration and capability; a family office reads about durability and management; a search fund reads about transition and continuity. Same facts, framed for the reader — and nothing moves without an NDA. No name, no numbers, no document goes to any buyer unsigned, and every view is logged.
Where does your business stand today? The free Exit Profile answers in eleven questions — no email needed. Get your read →
Deals are lost in the gaps: the buyer who asked a question on Thursday and heard nothing until the next week, the interested party who went quiet and was never re-engaged. The AI tracks every open thread and never lets one slip — every question answered, every silence followed up, around the clock. A person doing this well is rare; a machine doing it is routine.
When offers arrive, the headline number is the least informative part. The engine deconstructs each offer term by term — cash at close, earnout, escrow, seller note, working capital adjustment, and your exposure under each — so two offers can be compared on what you actually keep and what risk you actually carry. Armed with that, a senior principal from our deal team runs the negotiation. The AI prepares the argument; a human makes it; you decide what is acceptable.
Diligence is where tired sellers lose deals. The engine pre-answers the questions buyers reliably ask, so most of diligence is done before it starts. Every request is tracked to resolution — nothing sits in an inbox aging. And through the closing stretch, the system watches deal risk continuously: a buyer slowing down, a request pattern that signals a re-trade coming, a deadline drifting. Problems get surfaced while they are still small, and the humans coordinate the lawyers, accountants and buyers to the finish. The full machinery is described on The Engine page.
No. AI does the preparation, research, analysis and monitoring; a senior principal runs the negotiations and answers for the outcome; and you make every decision. Nothing material happens without your written go-ahead.
Before market. The Buyer Simulation finds the weaknesses a buyer would exploit while there is still time to fix them. Preparation is where value is protected; the later stages mostly defend it.