FCA publishes good and poor AI practice, asks AI providers for disclaimers

For the chief compliance officer at a US bank

FCA chief data, information and intelligence officer Jessica Rusu said in a drafted speech at Bloomberg's UK Policy Series, dated Oct. 19, 2026, that the FCA is publishing good and poor AI practice drawn from its firm testing this year and is calling on AI providers to use clear, proportionate and consistent disclaimers on financial information and advice generated by their models; the FCA noted the drafted text may differ from the delivered version.1

Rusu said the practice examples are meant to give firms practical guidance and examples, and that the FCA wants the UK at the forefront of safe adoption of AI in financial services.1 On disclaimers, she said the FCA does not want to expand its remit but to make the existing boundary clearer, and that warnings may work better where AI-generated financial information is delivered.1

As good practice, Rusu cited one firm that built a live list of vulnerability signals its chatbot uses to flag consumers who may need extra support to human advisers; she also cited a firm with an independent ethics panel that reviews AI use cases before deployment.1

As poor practice, she listed AI tools built without a clearly defined need, vulnerable consumers excluded by default, overstated capabilities, automated customer journeys deployed without sufficient testing, and governance added after deployment.1

Rusu said firms need senior managers personally accountable for AI systems, and said firms should understand supplier concentrations, including reliance on a single model.1

She said only 40% of consumers correctly recognise that there is no recourse if something goes wrong after acting on advice from a general-purpose AI tool, and named ChatGPT, Gemini and Claude as examples of such tools; the speech text available does not say whether any provider has agreed to the request.1

Why it matters

The FCA's disclaimer request targets AI providers, but the speech also says regulated firms are integrating their services into AI platforms and lists accountability and supplier dependency as supervisory concerns. Banks should expect testing against these practice examples and should be ready to show who owns each AI system and how they would handle a failure.

What’s next

Rusu said the FCA and the Bank of England will publish their joint AI survey next week, and that it shows 86% of firms now use AI.1

From the brief

Our take. The FCA asks chatbot makers to add warnings, but its practice examples land on the bank whose service sits inside the chatbot. Only 40% of consumers know there is no recourse. Your logo may suggest there is.

Action. Legal and compliance: Inventory chatbots and LLM-platform integrations; confirm a named senior owner, human handoff for vulnerable customers, and pre-launch testing records.

What our records say

ChatGPT Enterprise sells banks ChatGPT seats for employees and API access to its models, and in 2026 added on-site engineering deals, a financial-services edition built with investment-bank design partners, and a separately funded deployment company.1 Products: ChatGPT Enterprise is recorded with status Generally available.2 ChatGPT for Financial Services is recorded with status Generally available, built with design partners Morgan Stanley and Evercore.3

  1. ChatGPT Enterprise: AI programme summary (part 1)
  2. ChatGPT Enterprise: ChatGPT Enterprise
  3. ChatGPT Enterprise: ChatGPT for Financial Services

From our records

Sources

  1. Primary sourceBuilding the future of finance in the age of AI | FCA Fca