01What happens.
Due diligence now runs on AI as well as on people, and AI reads the wider reachable public record under the target's name. The data room holds what the company chose to disclose. The digital landscape holds what the company has published over 20 years, and the buyer's tools read both and compare them.
02Why it matters.
If you are the chief financial officer of a company in a sale process, the record the buyer holds is now wider than the record you prepared. Where the 2 disagree, the buyer asks why, and the answer that you did not know the material was there widens the warranties.
The tools that read the public record are now part of the buyer's kit, and what they find is priced. Verizon cut its price for Yahoo by $350 million after breaches disclosed during the process. A record the buyer finds and the seller cannot explain is priced the same way.
03The case.
This illustrative scenario draws on patterns observed across corporate estates; no company is identified.
A listed company agrees terms with a buyer and opens a data room. The room holds the accounts, the contracts, the regulatory correspondence and the intellectual property schedule. The company's own view of what it has published is the investor site, the product sites and the press releases of the last 5 years.
The buyer's advisers run an AI-assisted review of the company's public record alongside the data room, reading the reachable public record from the outside, as an AI system reads it. It finds a subsidiary website from an acquisition 8 years earlier, still live, describing products the company no longer sells and a safety certification that has lapsed. It finds a regulatory statement from 6 years ago, superseded by a settlement the data room discloses, still reachable and still the most cited version. It finds 3 product claims, withdrawn after a complaint, still published on a regional site.
The 2 pictures do not match. The buyer asks the seller to reconcile them, and the seller cannot. The seller has no record of the subsidiary site, had not known the regional site was live, and had assumed the settlement had removed the regulatory statement.
Each answer is the same, and each is that the company did not know. The buyer treats what the company did not know as a measure of what else it might not know. The price is adjusted for the cost of remediating the record and for the risk that it contains more, the warranties are widened, and the escrow rises. The advisers spend 3 weeks finding what the buyer found in a day.
The chief financial officer had prepared for the sale with care. What the company could not see was its own history as a machine reads it, and it met that history in the buyer's hands.
04Exposure.
The buyer seeks warranties from the seller on the accuracy of the company's published information, and a warranty offered over a record the seller has not seen is a warranty offered blind. Where the buyer's review has seen more than the seller, the buyer seeks wider warranties to cover the difference, and the difference is paid for in price, escrow or indemnity. Which warranties are engaged on the facts is for the parties' advisers to argue; the shape of the negotiation is set before they start.
The cost is measured in the price adjustment and in adviser time spent reconstructing a record the buyer already held. The cost that lasts is the loss of the seller's authority over its own story in the room, which passes to the side that has read it more completely.
05What AI Readiness changes.
From the inside, the company's record is the data room; its digital landscape as a buyer's AI will read it is a record nobody inside has seen. AAAnow reads that landscape from the outside, as AI reads it, and evidences the properties, documents and claims still reachable under the company's name, including those absent from the company's own records. With that evidence the company can decide, before the process opens, what is retired, what is corrected and what is disclosed, and enter the room understanding the material a buyer can examine.
Your team makes the changes; AAAnow provides the assessment, the evidence, the guidance and the review.
06Related use cases.
Forgotten sites nobody was patching: AI finding and highlighting vulnerabilities
The same forgotten properties, priced by the buyer as an attack surface.
The superseded statement stays reachable and cited long after the settlement.
Intellectual property disputes
Withdrawn claims read as admission when a dispute or a diligence review finds them.
07References.
- Verizon's $350 million price reduction for Yahoo following breach disclosures, 2017: public record.
- Illustrative scenario drawn from patterns observed across AAAnow assessments of corporate estates.
Next step
Talk it through, in your terms.
The briefing sets this case in your organisation’s terms, and the discussion follows your questions.
Illustrative scenario, drawn from observed patterns. No company is identified.