AI is changing how financial crime teams detect, prioritise and investigate risk. Learn how to use it productively, responsibly and confidently.
Every financial crime conclusion has to be explainable, auditable and defensible. Weak AI use creates unsupported conclusions, missed evidence and escalation that cannot be justified. Scepticism is a professional strength here.
You will see where AI organises, compares and drafts, and where an accountable investigator owns the conclusion.
Every financial crime decision must survive being read back by someone who was not there. Where AI has contributed, the trail must show what it did and what a person checked.
On completion, participants will be able to apply the following to work they already perform.
Assemble a coherent case picture from an alert pack, so the analyst starts from evidence.
Check against a defined standard and flag what is missing before the case progresses.
Produce structured first drafts that an accountable investigator checks, corrects and owns.
Test observed activity against known typologies and scam patterns, faster than manual comparison.
Convert screening results and case material into clear questions for human review.
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 colleagues from risk, compliance, technology, data, transformation, audit, governance or business teams.
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.
Organise alert information and surface context gaps, so analyst preparation is more focused.
AI supports analyst preparation. It does not own the prioritisation decision.
Compare typologies and patterns, and prepare fraud or suspicious activity review materials.
Pattern surfacing is not a conclusion. The investigator owns the finding.
Summarise evidence and gaps, then prepare investigation notes and reporting materials for human review.
Sanctions judgement, suspicious activity reporting and formal conclusions remain human owned.
Keep workflows traceable and defensible in a context shaped by the FCA, the NCA and FATF standards.
Where the reasoning cannot be evidenced, the decision cannot be defended.
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 with AI, and how financial crime professionals can contribute to AI readiness. |
| 10:00 to 11:30 | How AI is transforming this function | Use case areas across alert prioritisation, fraud and scam intelligence, sanctions screening and case preparation. |
| 11:30 to 11:45 | Break | |
| 11:45 to 12:30 | Risks, limits and responsibilities | Risks, red lines, evidence requirements, human owned decisions and responsible use principles for financial crime work. |
| 12:30 to 13:30 | Lunch | |
| 13:30 to 14:30 | AI in action: from work to capability | How AI supports familiar work by improving preparation, synthesis, drafting, review, challenge and communication. |
| 14:30 to 15:30 | Workflow Application Lab | Peer groups work on a recurring case, alert or investigation workflow and explore how AI could improve it. |
| 15:30 to 16:00 | AI Readiness Action Brief | One workflow, one AI opportunity, one productivity or quality benefit, one control question and 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 | Preparing a first pass financial crime case summary from an alert pack. |
| Current pain point | Analysts spend significant time gathering information, summarising case facts and identifying evidence gaps before review. |
| AI opportunity | Use AI to organise case information, extract key facts and surface evidence gaps. |
| Productivity benefit | Faster case preparation, more consistent evidence review and stronger first pass investigation notes. |
| Control question | How is explainability, evidence traceability and human ownership of investigation conclusions ensured? |
| Next conversation | Discuss with the financial crime team lead a controlled test on anonymised case packs. |
How AI capabilities apply to the tasks your function performs.
What AI can support, and what a human must own.
One recurring task or workflow that AI could improve.
A one page output to take to your 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.
