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Aipedia: Financial advisers

AI and spotting vulnerable clients

AI can help advice firms spot signs of vulnerability in calls and emails, but it supplements adviser judgement rather than replacing it. A missed vulnerability in later-life advice is likely to weigh heavily in a complaint or claim.

In short

Vulnerability detection tools scan call recordings, emails and meeting transcripts for indicators such as bereavement, illness, cognitive decline or financial difficulty. They can help advisers notice what they might miss, but false negatives are the real risk: a client the tool does not flag may get no extra care. The FCA's vulnerable customers guidance (FG21/1) and the Consumer Duty apply, and the FCA's October 2026 page expects firms to offer vulnerable customers a choice of non-AI support. Health data is special category data under the Data (Use and Access) Act 2025 rules. Missed vulnerability tends to strengthen FOS complaints and PI claims.

How advice firms use AI to spot vulnerability

Vulnerability detection tools analyse language and sometimes tone in recorded calls, meeting transcripts and emails, flagging indicators of the drivers set out in FCA guidance: health, life events, resilience and capability. Some integrate with CRM systems to flag clients for review or adjust how the firm communicates with them. They are often bundled with AI meeting notetakers.

Later-life advice is where these tools are most often used and where the stakes are highest. Clients may be making irreversible decisions about pensions, equity release or care funding, sometimes while experiencing declining capacity.

Vulnerability is also not fixed. A client who was resilient at the outset may experience bereavement, illness or a change in capability between reviews. AI tools that scan ongoing communications can help catch these changes, but only if someone reviews the flags and acts on them. A flag that sits unread in a dashboard may be worse than no flag at all, because it shows the firm had the information.

The duties that apply

What can go wrong

False positives create friction but rarely harm. False negatives are the problem. A tool trained on typical language may miss a client who masks difficulty, speaks indirectly or uses English as a second language. Advisers who trust the tool may stop asking. Tools that analyse health indicators without a clear lawful basis can also create data protection issues.

Illustrative scenario: an elderly client mentions being "a bit muddled since the fall" during an online review. The vulnerability tool does not flag it and the adviser, relying on the dashboard, does not follow up. The client agrees to switch funds and later the family complains that the client lacked understanding. The transcript shows the comment was made and not acted on.

PI and FOS exposure

A missed vulnerability does not create a claim on its own, but it can make an advice complaint harder to defend. The Financial Ombudsman Service decides on what is fair and reasonable, and evidence that a firm overlooked clear signs is likely to count against it. PI usually responds to the resulting advice claim, subject to the wording and excess. Data protection issues from the tool itself may fall to cyber cover. See how PI responds to FOS claims and the Apex guide to vulnerable customers.

Practical controls

How Apex helps

Apex arranges PI for financial advisers. A broker can review your cover and how your policy treats AI-assisted work, including later-life advice. See AI in financial advice and Consumer Duty for IFAs.

Sources

Frequently asked

Can I rely on AI to identify vulnerable clients?

Not on its own. AI can help flag indicators, but false negatives are a real risk and FG21/1 and the Consumer Duty still apply to the firm. Advisers should continue to ask questions and record their own assessment.

What does the FCA say about AI and vulnerable customers?

The FCA's October 2026 good and poor practice page lists offering a choice of non-AI support for vulnerable customers as good practice, along with testing outcomes across consumer characteristics. It does not create new requirements.

Is analysing health indicators a data protection issue?

Yes. Health is special category data, which needs extra care under UK GDPR, and the Data (Use and Access) Act 2025 restricts solely automated significant decisions based on it. Check your lawful basis and privacy notice.

Does a missed vulnerability affect PI cover?

It does not usually remove cover, but it can make an advice complaint harder to defend. PI typically responds to the resulting claim, subject to the wording and excess.

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.