Case Study

Discover how Fidelity International are using AI to improve and evidence the ongoing effectiveness of their financial crime training

The value I receive as the UK MLRO is that I am not only physically able to demonstrate the provision and effectiveness of anti-money laundering training but also evidence my own oversight of the firm’s compliance with its requirements in respect of employee training. You can have the best designed AML controls possible but if staff do not understand why they are doing something, the effectiveness of such controls will be hugely impacted. My direct involvement with Clever Nelly has ensured senior management buy-in and meant that questions are fit for purpose. Feedback has been overwhelmingly positive with employees preferring the short daily interactions over having to sit in a classroom training session for an hour or so; the output from which is extremely difficult to measure from an effectiveness standpoint.

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About this Impact Guide:

With the FCA placing increased emphasis on how firms are evidencing the effectiveness of their financial crime training programmes, John Clarke, MLRO at Fidelity International, discusses why they are using employee-centric AI to embed regulatory learning at scale and demonstrate sustained employee competency to the highest regulatory standard.


Learning outcomes:

  • How AI provides best-in-class evidence of regulatory adherence to staff training requirements under UK Money Laundering Regulations.
  • How Fidelity use real-time MI to measure financial crime training effectiveness, identify training needs and mitigate regulatory risk.
  • How AI is used to improve, maintain and evidence ongoing competence of staff undertaking key financial crime roles – using less than one minute of an employee’s working day.

Access the Impact Guide here: