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Aipedia: Wealth managers and discretionary fund managers

AI and model portfolio services (MPS)

MPS providers can use AI to build and rebalance models, but one model error is replicated across every client invested in it. The FCA is reviewing MPS providers, and aggregation and limit adequacy are the key PI questions.

In short

Model portfolio services spread one investment decision across many clients through advisers and platforms, so AI used to optimise models or select funds magnifies any error. The FCA's March 2026 Consumer Investments priorities announced a review of MPS providers, including whether Consumer Duty rules remain appropriate. Responsibility stays with the provider under SYSC 8.1.6R even when tools are outsourced. PI usually responds to negligent management claims, subject to the wording, but check how the aggregation clause treats a model-wide error and whether the limit suits the size of the book.

How AI is used in model portfolio services

Model portfolio services (MPS) let a discretionary manager build a range of risk-graded portfolios that advisers recommend and platforms implement for their clients. AI is used to optimise model allocations, select funds, propose rebalances across the range and draft factsheets and adviser commentary. Because the same model is applied to every client invested in it, through many advisers and several platforms, an error in the model is repeated many times over.

AI is also used on the distribution side: drafting model factsheets, adviser briefing notes and the rationale for each rebalance. Advisers rely on these documents to explain changes to their clients and to meet their own Consumer Duty obligations. A factsheet that describes a model's risk or holdings wrongly can therefore mislead many advisers at once, and each of them may pass the error on. The FCA's 2026 wealth management survey found the top ten firms serve 89% of discretionary clients, so a small number of providers reach most clients.

The duties that apply

The FCA's Regulatory Priorities: Consumer Investments report (March 2026) announced a review of MPS providers, including whether the Consumer Duty rules remain appropriate for them. Until it concludes, existing rules apply:

What can go wrong

Model-level errors include a fund substitution proposed by an optimiser that changes the risk profile of a model, a misread benchmark, a stale fund charge used in selection, or an incorrect instruction file sent to platforms. Errors can also sit in the hand-off: a platform implementing a model in a way the provider did not intend.

Illustrative scenario: an AI optimiser recommends switching the bond allocation in the provider's lower-risk models to a fund with much longer duration, scoring it as similar on historical volatility. The investment committee approves the switch with limited challenge. Interest rates rise and the lower-risk models fall further than clients and their advisers expected. Complaints arrive through advisers on several platforms, and some advisers look to the MPS provider for a contribution.

How PI usually responds

Claims from MPS errors can come from end clients, from advisers seeking contribution, or from platforms. PI usually responds to claims alleging negligent management, subject to the wording, but three issues dominate:

The general position is in does PI cover wealth managers' AI errors.

Practical controls

How Apex helps

Apex arranges PI for wealth managers and discretionary fund managers. A broker can review your limit, aggregation clause and contractual indemnities against the scale of your MPS book. See AI in wealth management.

Sources

Frequently asked

Is the FCA changing the rules for MPS providers?

The FCA's March 2026 Consumer Investments priorities announced a review of MPS providers, including whether the Consumer Duty rules remain appropriate for them. No outcome has been published, so existing rules continue to apply.

If an AI tool picked the funds, who is responsible?

The MPS provider. SYSC 8.1.6R keeps the firm fully responsible for outsourced functions, and the FCA's good-practice page says outsourced AI remains the firm's responsibility. Advisers remain responsible for recommending a suitable model to each client.

Can advisers claim against an MPS provider?

Advisers facing complaints may seek a contribution from the provider if they say the model or its documentation was defective. Whether they succeed depends on the contracts and the facts. PI may respond to such claims, but contractual indemnities beyond normal liability may be excluded.

How does aggregation affect an MPS claim?

If many complaints stem from one model decision, the aggregation clause may treat them as one claim. That can mean one excess but also one limit, so check the wording and whether the limit fits the size of your MPS book.

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.