AI is changing how control functions work. Learn how to use it productively, responsibly and confidently.
Control function work cannot be treated like ordinary productivity work. Outputs need evidence, accountable review and clear judgement. Poor AI use creates unsupported conclusions, confidentiality issues and unclear accountability.
This workshop shows where AI helps you prepare, compare and draft, and where the decision must stay human.
AI can accelerate preparation. Interpretation, materiality and compliance sign off remain human owned.
On completion, participants will be able to apply the following to work they already perform.
Turn a long publication into a structured view of what changed and what it affects.
Surface gaps and contradictions across regulatory text, policy documents and control evidence.
Sharper governance summaries and challenge questions for risk committees, as first drafts for human review.
Structure testing and assurance evidence, then surface the gaps before they are found elsewhere.
Turn dense inputs into issue lists, structured notes and action trackers a team can work from.
Session by session, with timings.
Built for the roles below — if you don't see yours listed, get in touch and we can help you check fit.
Also relevant for model risk, internal audit, legal, technology risk, transformation, data governance and AI governance.
Confirm your place with the CFTE team.
Grounded in real world examples from financial services and regulated work, then translated into practical workflow exercises relevant to the role of each participant.
Make sense of a regulatory update, identify possible obligations, compare them against policies and controls, and prepare better review questions.
Interpretation, materiality and compliance sign off remain human owned.
Summarise evidence, prepare committee materials and highlight inconsistencies, so first drafts arrive clearer.
Governance judgement, escalation and decisions remain accountable human responsibilities.
Review evidence, identify what is missing and prepare assurance questions for model risk and AI governance discussions.
Assurance conclusions, risk acceptance and formal sign off must not be delegated.
A structured, one-day session that moves from context to hands-on practice, closing with a one page action brief for your sponsor.
| Time | Session | What happens |
|---|---|---|
| 09:00 to 10:00 | The AI shift and your role in it | What is changing, why it matters for financial services, and where control professionals contribute. |
| 10:00 to 11:30 | How AI is transforming risk, compliance and governance | Use cases across regulatory updates, obligation mapping, governance reporting, control evidence and AI governance. |
| 11:30 to 11:45 | Break | |
| 11:45 to 12:30 | Risks, limits and responsibilities | Weak evidence, hallucination, confidentiality, over reliance and unclear accountability. |
| 12:30 to 13:30 | Lunch | |
| 13:30 to 14:30 | AI in action: from control work to AI capability | Where AI improves preparation, synthesis, drafting, review and challenge when used with judgement. |
| 14:30 to 15:30 | Workflow Application Lab | Peer groups take a recurring task from their own role and identify what AI could improve, and what controls it would need. |
| 15:30 to 16:00 | AI Readiness Action Brief | One workflow, one AI opportunity, one benefit, one control question, one next conversation. |
Facilitator and speaker details are to be confirmed.
Places are allocated by UK Finance member firm.
The programme converts into a one page output that can be presented to a manager or internal sponsor. The example below is illustrative.
| AI Readiness Action Brief | Illustrative example |
|---|---|
| Workflow to improve | First pass review of a regulatory update against internal policies and control evidence. |
| Current pain point | Manual comparison across regulatory text, policy and control evidence is slow and inconsistent between teams. |
| AI opportunity | Summarise the update, extract possible obligations, compare against selected internal material, prepare review questions. |
| Productivity benefit | Faster preparation, more consistent first pass review, clearer evidence gaps before sign off. |
| Control question | Which sources can be used, how are outputs checked, and who owns interpretation and sign off? |
| Next conversation | Agree with the policy or compliance owner to test this on a non sensitive historical update. |
How AI capabilities map to the tasks your function actually performs.
What AI can support, and what a human must own.
One recurring task in your role, redesigned.
A one page output for your manager or sponsor.
This programme does not claim that AI can own accountable decisions. The following remain the responsibility of accountable professionals at all times.
UK Finance owns the initiative. CFTE is the specialist learning and delivery partner.
UK Finance is the collective voice for the banking and finance industry in the UK. This programme forms part of the UK Finance AI Workshop Series, a UK Finance initiative delivered in collaboration with CFTE.
Visit ukfinance.org.uk →Practical detail
UK Finance owns the initiative. CFTE is the specialist learning and delivery partner, and designs and facilitates the sessions.
Yes. The functional workshops are scoped to different functions and run on different dates, so institutions commonly send different people to each. The Related programmes section on this page lists the others in the series.
The Participant outputs section on this page lists what you leave with. The central output is a completed brief on your own work, written during the day rather than promised for afterwards, which is why participants are asked to bring a real process or decision to work on.
Yes, and most participants attend with employer support. The Request sponsorship button opens a pre-written email you can send to your own manager. It carries a link back to this page so they can see the scope, the date and what you will bring back.
Use the Register for the workshop button on this page. It opens a pre-written email to UK Finance, who own the initiative and handle enrolment. If you would rather write your own, the contact is Robert Moss at UK Finance.
One day, delivered live online, run as a facilitated working session rather than a lecture. The Agenda section on this page sets out the running order, including the points where participants work on their own material.
No. There is no coding and no model building. The day assumes you know your own function well and treats AI as a tool applied to work you already understand.
The workshops are built for the people who do the work rather than the people who supervise it. Each day is scoped to a single function, so the room is made up of practitioners, team leads and managers from that function, together with the risk, compliance and technology colleagues who sit alongside them. The Who should attend section on this page lists the specific roles for this workshop.
