A solicitor uses an AI tool to draft a client opinion, reviews it briefly, and sends it out. The client acts on it, suffers a financial loss, and makes a professional indemnity claim. Does the policy respond? According to UK brokers and legal commentators, the answer is almost certainly yes: the claim turns on whether the solicitor exercised reasonable professional judgement, not on which software generated the first draft. The same logic applies to accountants, consultants, engineers, and the owner of any professional services firm using AI in their client work.
What choice does AI actually put in front of your PI policy?
PI insurance was written for human professional negligence. When you bring AI into your workflow, it doesn’t automatically expand or contract. What shifts is the standard you’re held to: did you exercise the professional judgement a reasonable practitioner would apply? The policy question your insurer will ask is about your conduct, not the tool you used.
Many PI policies still do not mention AI explicitly. UK-focused adviser HeyLeo and specialist broker PolicyBee both note that AI-related exposures are typically picked up under general wording covering professional services, errors and omissions. What that means in practice is that the policy wording you already hold may be sufficient, or it may already contain an exclusion you haven’t found yet.
The distinction that matters is between your professional error and a defect in the AI system itself. DLA Piper’s 2024 analysis of AI and liability insurance concludes that if a policy expressly covers the type of error, and there is no AI-specific exclusion, the mere involvement of AI “should not in and of itself negate coverage.” The underwriter’s focus will be on how you used the tool, not on what the tool got wrong.
For owner-managed businesses in professional services, the question is simple: are you treating AI as a tool you use and review, or as a source you pass on unverified? The first is within standard PI frameworks. The second may not be.
When does PI respond to an AI-related mistake?
When AI is a tool in your workflow, PI is more likely to respond to any error in the output. UK broker PolicyBee notes that using AI to draft a report and failing to check it properly would “probably” still be covered, because the claim rests on your professional negligence, not the tool’s. Documented review, cross-checks and clear scoping are what underwriters look for.
In practice, insurers are less interested in how an AI model works than in whether your conduct looked reasonable by professional standards. That means having an internal AI use policy, keeping a record of how outputs were reviewed before being sent to clients, and being able to demonstrate that you applied professional judgement to the material before it left your hands.
The ICO’s 2023 to 2024 figures are instructive: of 2,893 UK data breach notifications, 76% were attributed to human error rather than malicious attack. Insurers have applied negligence standards to human error for decades. AI-assisted human error is likely to be treated the same way, which means the same disciplines that reduce professional error in your practice will reduce your AI risk too.
Getting written confirmation from your broker is the step many owners skip. HeyLeo recommends asking in writing whether “AI-generated or AI-assisted services” are covered under the policy, and keeping the response. A verbal yes from a broker does not bind the insurer at claim time.
When does PI not cover an AI mistake?
The situation where PI is most likely to fail you is straightforward: you passed AI output to a client without meaningful review. UK advisory service HeyLeo notes that “blindly relaying AI output without verification” gives insurers grounds to view your conduct as gross or contributory negligence. Some PI policies now carry explicit AI exclusions, and many more will follow.
PolicyBee warns that policies with explicit AI-related exclusions are already appearing in the market, and that relying on unchecked AI outputs could be argued as negligent use of tools outside the policy’s intended risk appetite. Dolmen Insurance, commenting on the UK and Irish market, notes that standard PI wordings may not contemplate algorithmic or autonomous decision-making, and that unchecked AI use could fall outside cover where the underwriting assumptions were based on predominantly human decision-making.
There is a structural issue worth naming here. The major generative AI vendors, including OpenAI and Microsoft, explicitly limit their own liability for professional use of their outputs in their terms of service. In a loss scenario, the claimant’s attention comes to you and your PI, not the vendor. If you cannot show that you applied professional judgement to the output before relying on it, your position at claim time is difficult.
DLA Piper draws a direct parallel to the emergence of “silent cyber” a decade ago, where policies written before cyber risk was understood were suddenly tested by cyber claims. Insurers responded with explicit exclusions. The same movement toward explicit AI exclusions is already under way in the PI market.
What does it actually cost to get this wrong?
Getting this wrong has two possible costs: a denied claim that leaves you personally exposed, and a regulatory penalty that your PI won’t touch regardless. A single undetected hallucination in financial or legal advice could run to a six-figure client loss. EU AI Act penalties for serious breaches can reach seven percent of global turnover, and standard PI policies do not cover administrative fines.
The FCA’s 2024 updates on AI in financial services make clear that existing governance, operational resilience, and accountability standards apply equally to AI-assisted work. Regulated firms that outsource decisions to AI without oversight risk breaching FCA rules, and the resulting sanctions sit outside PI entirely. The ICO’s AI risk toolkit takes the same position: organisations using AI on personal data must undertake data protection impact assessments and maintain meaningful human oversight, and failure to do so strengthens the case that any resulting loss was foreseeable and therefore negligent.
A 2024 Chartered Insurance Institute survey found that 54% of insurance professionals cited AI and automation among the top three technology-related concerns for liability policies over the next three years. That concern is already visible in pricing. PolicyBee notes that adding specialist endorsements or extended cover for AI-related risks can increase premiums by 10 to 30%, depending on the insurer and sector. That cost tends to feel significant before the claim, and trivial after it.
What should you ask before assuming PI has this covered?
Before relying on your current PI to cover AI-related claims, you need to ask your broker four specific questions, in writing, and keep the responses. UK advisory service HeyLeo recommends confirming explicitly whether “AI-generated or AI-assisted services” fall within the policy. A verbal yes from a broker does not bind the insurer at claim time.
The four questions worth getting on the record are these. First: does the current wording include any explicit exclusion for AI-generated content, algorithmic outputs, or autonomous decision-making? Second: are AI-assisted services explicitly covered, or simply not excluded? Third: does the policy require services to be delivered “personally” or “by qualified individuals” in a way that could complicate an AI-assisted claim? Fourth: do you need a separate endorsement or a technology errors-and-omissions policy if AI is now central to how you deliver work?
For owner-managed businesses in regulated sectors, the question goes further still. The FCA’s discussion paper on AI in financial services and the ICO’s AI risk toolkit both frame AI governance as an extension of existing professional obligations, not a separate category. If your PI renewal is coming up and AI is now a material part of your workflow, your broker needs to know that before the policy is agreed.
The practical step for this week is to pull out the current policy wording, search for any reference to algorithms, automated systems, or AI, and draft a brief email to your broker setting out how you are currently using AI in client-facing work. The email creates the paper trail. The response either confirms you are covered, flags a gap, or opens a conversation about the right endorsement. Any of those three outcomes is better than finding out at claim time.
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