Insurance for AI consultants and developers

What an AI consultancy’s risk actually looks like

Strip away the technology and the exposures are recognisable: advice that turns out wrong, a delivered system that does not perform as promised, a project that overruns and a client that wants its money back. What AI adds is character. Model outputs are probabilistic, so “does not perform” is harder to define and easier to allege. Client expectations are inflated. And the same error can propagate through every output the system produces, turning one defect into a systemic claim.

The right chassis is a combined professional indemnity and technology liability policy — one wording covering both negligent advice and failure of the technology product or service to perform. Buying the two separately, or buying a generic PI policy that has never heard of software, creates seams for a claim to fall through.

Intellectual property: training data and outputs

Two IP questions follow AI work around. First, training data: if models were trained on material scraped without licence, does liability reach the firms that build on those models? Second, outputs: if a model produces something substantially similar to copyrighted work, who answers for the infringement? These questions are being contested in courts and legislatures in the UK and elsewhere, and the honest position is that the law is still settling — anyone selling you certainty is selling too much.

What you can control is the insurance response. Check whether your PI or tech liability wording includes IP infringement cover, what it excludes (patent and trade-secret claims are commonly carved out), and whether anything in it targets AI-generated content specifically. Underwriters will ask what models you build on, what the licence terms are, and what you promise clients about output. Clean answers here are worth real money at placement.

Contractual liability: where your cap meets your cover

For an AI consultancy the contract is half the insurance programme. Liability caps, exclusions of consequential loss, warranties about performance and accuracy, indemnities you give the client — all of these shape what a claim against you looks like. Two traps deserve attention. Uncapped or over-generous indemnities can take you beyond what a PI policy would consider your professional duty — and liability assumed under contract, beyond what the general law would impose, is a classic PI exclusion. And performance warranties for a probabilistic system are promises you may not be able to keep; the safer pattern is defined acceptance criteria and a human-oversight expectation written into the engagement.

We read contract templates alongside the wording for exactly this reason: the goal is that what you promise clients and what your insurer covers are the same shape.

Cyber, and the rest of the programme

Cyber cover matters twice over for AI firms: you hold client data, possibly in training sets, and you are a supply-chain route into your clients’ systems. A cyber policy brings incident response, data-breach costs, system recovery and cyber business interruption — and if you handle personal data, remember that regulatory fines from the ICO are a risk cyber insurance cannot be relied on to pay, which makes prevention and UK GDPR compliance part of the risk story, not a footnote.

Around the core: directors’ and officers’ cover once you have investors expecting it, employers’ and public liability as legal and practical basics, and legal expenses cover that can earn its keep in contract disputes. For most early-stage AI firms this whole programme is modest to buy — the expensive part is getting the PI/tech wording and the contracts aligned, which is broker work, not premium.

Frequently asked questions

What insurance does an AI consultancy in the UK actually need?

The core is combined professional indemnity and technology liability cover, sized to your contracts and client demands, plus cyber insurance. Employers’ liability is a legal requirement if you employ staff. D&O tends to arrive with investors. The right limits depend on your client base and the liability caps in your contracts.

Are we liable if a model we built on infringes someone’s copyright?

The law here is still developing, in the UK and elsewhere, and outcomes will turn on the facts — what you built on, what the licences said, what you promised the client. That uncertainty is exactly why IP infringement cover within your PI or tech liability wording, and careful contract drafting, both matter. We flag the risk; we do not sell legal conclusions.

Does professional indemnity cover a model that simply performs badly?

A combined PI and tech liability wording is designed to cover claims that your service or product failed to perform as required, as well as negligent advice. A generic PI wording may not. This is one of the main reasons AI firms should be on technology-specific wordings rather than off-the-shelf professional covers.

What will underwriters ask an AI firm at placement?

Expect questions about what you build and on which foundation models, licence terms for training data, what your contracts promise about performance and accuracy, your liability caps, human oversight in deliverables, and how you handle client data. Firms with clean, documented answers consistently place better.

Apex Insurance Brokers Limited is authorised and regulated by the Financial Conduct Authority (FRN 724952). This page is general information, not advice on a specific policy.