Aipedia: Management consultants

AI in commercial due diligence reports

Aipedia, by the Apex broking team · Last reviewed 2026-10-27

AI can summarise data rooms and draft commercial due diligence quickly, but acquirers and their lenders rely on the findings to pay a price. An error found after completion can lead to a large claim that tests reliance terms and PI limits.

Part of: AI in Management consultants

In short

Consultants use AI to read contracts, customer lists and management information in data rooms, and to draft market and commercial sections of due diligence reports. AI summaries can miss terms, misread figures or invent detail, and transaction timetables leave little room to check. ICMCI 3.1 requires meaningful human review, and 3.4 and 8.3 cover confidential data. Reliance letters extend duties to lenders and other parties. PI usually responds to negligence claims, subject to the wording, but caps, aggregation clauses and the limit of indemnity decide how much is paid.

How consultants use AI in commercial due diligence

Commercial due diligence tests a target's market, customers, competitive position and business plan. Data rooms can hold thousands of documents. Consultants now use AI tools to extract key terms from customer contracts, summarise board minutes, classify revenue by customer and draft sections on market growth and competition. Interview programmes with customers may be transcribed and summarised by AI too.

The speed is valuable, but AI summaries can drop a change of control clause, misread a renewal date or attribute a comment to the wrong customer. The report is then used by the buyer to set a price and by lenders to approve funding.

Transaction timetables make the problem worse. Exclusivity periods are short, data rooms are updated late, and the temptation is to let the AI summary stand in for reading. The ICMCI AI Code is clear that AI does not reduce accountability (2.2) and that unreviewed output should not be presented as professional work (5.2).

The duties that apply

ICMCI 3.1: meaningful human review and the ability to explain AI-assisted findings.
ICMCI 3.4 and 8.3: data room material is confidential; tools must not reuse or train on it without safeguards. Data room rules may also restrict downloading and processing.
ICMCI 3.3 and 7.3: tell the client when AI materially shapes the analysis, and agree the scope of AI use in engagement terms.
Common law: reasonable skill and care to the client, and to third parties to whom responsibility is assumed, for example through a reliance letter. See negligent misstatement.

What can go wrong

Illustrative: a consultant prepares commercial due diligence for a private equity buyer. An AI tool summarises the top customer contracts and reports them as long term. It misses that several can be terminated on a change of control. After completion, key customers leave, earnings fall and the lender's covenants are tested. The buyer and the lending bank, both of which received reliance letters, claim the report was negligent and that they overpaid and over-lent.

Transaction claims tend to be large, involve several claimants and arrive months after completion. The consultant's working papers will be scrutinised to see what the AI read, what a person checked and what was simply accepted.

Reliance letters, aggregation and limits

Reliance letters usually extend the consultant's duty to lenders and co-investors on the same terms as the engagement, including any cap on liability. Points that matter for PI:

Whether the policy covers liability under reliance letters, and whether insurer consent is needed.
How the aggregation clause treats claims from the buyer and lenders arising from the same error: as one claim under one limit or several.
Whether the limit of indemnity is each and every claim or aggregate, and whether it matches the liability cap you agreed.
Any AI exclusion and any exclusion for guarantees or contractual liability beyond what the law would impose.

PI usually responds to negligent due diligence, subject to these terms. There is no compulsory minimum, so the limit is a commercial choice.

Practical controls

Have a person read the key contracts in full, not just the AI summary.
Use a checklist of terms that matter, such as change of control, exclusivity and termination.
Check that AI tools comply with data room rules and do not retain inputs.
State the scope, sources and AI use in the report.
Agree liability caps in the engagement letter and repeat them in reliance letters.
Tell your broker before signing unusual reliance terms.

How Apex helps

Apex arranges PI for management consultants and can review how your policy treats reliance letters and aggregation on transaction work. See the AI in management consulting overview.

Sources

Frequently asked

Is it safe to use AI to review a data room?

It can be useful for triage, but key documents still need human reading. Check that the tool complies with data room rules and does not retain or train on confidential material, as ICMCI 3.4 and 8.3 require.

Does PI cover claims under reliance letters?

Some consultants' PI policies may cover liability to third parties under reliance letters, subject to the wording. Some require insurer consent or exclude liability beyond what the law would impose without the letter. Check before signing.

Will claims from the buyer and its bank count as one claim?

It depends on the aggregation wording. If both claims arise from the same error, some clauses may treat them as one claim under one limit. That protects the excess but may leave the limit stretched, so size the limit with this in mind.

Check your PI covers how you use AI

Tell us about your firm and the work you do. A broker will review how your current PI treats AI-assisted work, or arrange new cover. No fee for a quote. Or call 0117 325 0027.

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Apex Insurance Brokers Limited is authorised and regulated by the Financial Conduct Authority. Registered in England and Wales, company number 07014570. This page is general information about how AI is used in the profession and how insurance may respond. It is not legal, regulatory or insurance advice on your circumstances, and it does not guarantee that cover will be available or on what terms.