AI and UK Financial Data: What the FCA Expects

Here is the honest answer. The FCA (Financial Conduct Authority, the UK's financial regulator) does not ban AI. It takes a technology-neutral, outcomes-based approach. But it holds your firm to the rules you already follow. So pasting a client's account number, sort code or balance into a consumer AI tool is not illegal by itself. It is a risk. It can cut against the Consumer Duty, your SYSC (systems and controls) duties and UK GDPR. The fix is simple. Anonymise the sensitive details first. Then use AI on the structure of the task, not on the raw client data.

What the FCA actually expects

The FCA regulates financial firms in the UK. It has said clearly that it will not write a separate AI rulebook. Instead, it applies the framework you already know. This is called a technology-neutral, principles-based approach. In plain terms: AI is a tool, and the existing rules still apply to it.

The regulator also calls itself pro-innovation. It wants firms to use AI. It runs initiatives like its AI Lab and AI live testing to learn from real-world use. But that support comes with a condition. Your firm stays accountable for the outcomes the AI produces. You cannot blame the tool.

What a client financial record exposes

Think about what sits in a single client file. Every one of these details is personal data. And they are exactly what a fraudster wants.

• Account numbers and sort codes.
• Balances and transaction history.
• Pension and investment details.
• National Insurance numbers.
• Names, addresses and dates of birth.

Paste that into a consumer chatbot. It can be retained, reviewed or reused for training. You lose control of where it goes.

Accountability does not transfer

This is where the FCA's rules bite. The Consumer Duty asks firms to act to deliver good outcomes for retail customers. You cannot hand that duty to a supplier. If an AI tool mishandles client data, the responsibility is still yours.

The SYSC and operational resilience rules point the same way. They expect proper governance over technology and over third parties. A consumer AI tool is, in effect, a third-party service. Using it does not remove your duty to oversee and manage the risk.

Then there is SM&CR (the Senior Managers and Certification Regime). It puts a named senior manager on the hook. So this is not an abstract compliance point. A real person is personally accountable for how client data is handled.

UK GDPR and the ICO: financial data is personal

Data protection law says the same thing from another angle. The ICO (Information Commissioner's Office) is the UK's data regulator. It treats personal data used in AI as fully covered by UK GDPR. Financial details are personal data. So pasting them into an AI tool is a processing activity that must meet the law.

The ICO uses a risk-based approach. Where AI processing is likely to result in high risk to people, UK GDPR (Article 35) can require a Data Protection Impact Assessment first. This does not apply to every AI use. But it can apply to sensitive client financial data. The ICO even publishes an AI and data protection risk toolkit to help you assess it.

The FCA and the ICO have been working together on this. They treat data protection and consumer protection as connected, not separate. So there is no gap to hide in.

The fix: anonymise before you send

Good news: AI is still useful in a regulated firm. It can draft a client letter, summarise a policy, or restructure a note. For that, it does not need the real account numbers. It needs the shape of the task.

When a real case has to go in, anonymise it first. Replace each sensitive identifier with a token. The AI works on the structure. You restore the real values afterwards, on your own machine.

1. 1Find the sensitive identifiers: account numbers, sort codes, balances, NINos, pension details.
2. 2Replace them with reversible tokens, in the browser.
3. 3Send only the anonymised text to the AI.
4. 4Restore the real values in the reply, locally.

That's what ONYRI Sanitize is for. The engine detects sensitive data — account numbers, sort codes, balances, pension details, National Insurance numbers — and replaces it with reversible tokens before sending. Detection and the mapping stay in your browser. Only anonymised text reaches the model. The AI finds only tokens, never your client's real financial data. You get AI's help while keeping the control the FCA and the ICO expect of you.