Selling a business is mostly work that never stops: finding and researching buyers, preparing materials, answering questions, tracking requests, following up with people who went quiet. AI is very good at exactly this kind of work, and it does not clock out. Our engine continuously researches buyer categories — strategic acquirers, private equity platforms, PE-backed add-on platforms, family offices, independent sponsors, search funds and owner-operators — and scores them against your specific business. It builds buyer-specific materials from one set of verified facts, so a strategic acquirer and a family office each see the story that matters to them. It deconstructs every offer term by term: cash at close, earnout, escrow, seller note, working capital, exposure. It pre-answers diligence questions before buyers ask them, tracks every open request, and watches the deal for signs of risk. You can read how the full system works on The Engine page.
Be honest about the limits, because they matter. AI does not decide who to approach, what price is acceptable, or which terms you can live with. It does not sit across from a buyer and negotiate. It does not sign anything. And it should never be trusted to make a judgment call about your life’s work on its own. In our process there is one rule: AI does the work; the owner makes every decision. No buyer is approached, no document is shared, and no term is accepted without your written go-ahead. A senior principal from our deal team runs the conversations that matter and answers for the outcome.
The point is not to replace people with software. It is to stop paying for a process where expensive human hours are spent on work a machine does better, and where the work stops when the office closes. You get both: the machine’s tirelessness and the human’s judgment. If you are weighing this against the traditional route, our AI vs. Broker comparison walks through it point by point.
Curious what the AI would say about your business? The free Exit Profile is eleven questions, no email required. Get your read →
One capability worth understanding is the Buyer Simulation. Before your business is shown to anyone, the AI works it over the way a skeptical acquirer would: the questions they will ask, the discounts they will push for, the weaknesses they will find — customer concentration, owner dependence, add-backs that will not survive scrutiny. You see the case against your own business while there is still time to fix it, instead of discovering it as a price cut at the negotiating table.
Some owners worry that involving AI means their information floats around. In a well-built system the opposite is true: confidentiality is enforced by the system itself, not by a promise. No buyer sees your name, your numbers or a single document before an NDA is signed, and every view of every document is logged. Compare that with the usual way — documents emailed around, and nobody quite sure who has seen what.
You do not have to take any of this on faith, and you do not have to pay to find out. There is no retainer and no listing fee in our model — one success fee, paid at close, out of proceeds; if your sale does not close, we earn nothing. Before any of that, two free tools let you see the AI work on your own business: the anonymous 60-second valuation calculator, and the free Exit Profile — eleven questions, then an AI read of your value range, value drivers, likely buyer categories and exit readiness. No email needed to see the result.
No. AI prepares the negotiation — it deconstructs each offer term by term so you can compare on substance, not just headline price. The conversations that decide your outcome are run by a senior principal from our deal team, and nothing is accepted without your written go-ahead.
In a well-built process, confidentiality is built into the system. No name, number or document moves before an NDA is signed, and every view is logged. That is stricter than most manual processes.
Two free ways: the anonymous 60-second valuation calculator, and the free Exit Profile — eleven questions, then an AI read of value range, value drivers, likely buyer categories and exit readiness.