We're seeking stakeholders' views about examples of good and poor practice in relation to artificial intelligence (AI) use cases in UK financial services.
The AI Input Zone is one component of our AI Lab[1], helping us to support safe and responsible innovation, promote growth and competitiveness of the sector, and gain a practical understanding of AI usage in financial services.
We are reopening the Input Zone to gather views from different market participants to understand what stakeholders feel 'good' looks like in terms of safe and responsible AI development, and what can be learned from and improved. This will help to inform a good and poor practice publication on AI later this year.
We are keen to hear specific examples with as much detail as you can provide so that what we produce is grounded in the latest evidence. These examples do not need to be specifically about financial services, but should be relevant to financial services firms looking to deploy AI safely and responsibly (for example, effective governance processes for complex AI systems). Any examples we receive will be anonymised for publication.
Response details
We're asking for responses to the questions below by 19 June 2026.
We encourage stakeholders to use this online form for responses. If you're unable to, you can email us or write to: AI Policy, Financial Conduct Authority, 12 Endeavour Square, London E20 1JN.
We may publish information derived from the responses we receive. Please let us know if you do not wish your participation and/or response to be made public by selecting the relevant option in the form below, or by stating this clearly in your email or written submission.
Please note that a standard confidentiality disclaimer in an email will not be treated as a request for non-disclosure. We may not be able to maintain confidentiality where we are subject to a legal duty to publish or disclose the information in question (for example, if required to do so under the Freedom of Information Act 2000).
* Fields with an asterisk beside their labels are mandatory.