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Expert · Self-paced learning

AI Transformation in Regulated Organisations

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Plan an AI pilot using a customer-service case from a financial-services organisation. Work out who provides the required evidence, when an approval decision is needed and which preparatory tasks can already begin.

In the financial-services case, AI is proposed to prioritise customer service requests. Existing risk approval requires evidence of data quality and human review before a pilot. Assign evidence, deadlines and decision rights, and identify preparatory work that can begin. Reassess the process if internal sorting becomes a customer-facing decision.

Take away an implementation board with responsibilities and control handovers. The responsible authority decides on approval; specific legal obligations depend on the jurisdiction and are reviewed separately.

What you will work on

  • Define the business objectives and control needs of related AI initiatives
  • Assign evidence requirements and the involvement of control functions to decision points
  • Coordinate preparatory work and required risk approval in the case using existing procedures

Who it is for

  • Transformation and programme leaders
  • Leaders in financial, healthcare or infrastructure organisations
  • Risk and compliance managers

Topics

  • Programme mandate and intended use
  • Existing controls and responsibilities
  • Evidence requirements and approvals
  • Dependencies between pilot and operation
  • Changes in intended use and regulation

Your result

Your implementation board shows when evidence and resources are needed and which control role receives the handover. Use it to coordinate through the existing approval process.

Prerequisites

Experience of organisational change and access to information about related initiatives and their control functions sufficient for planning. An anonymised or synthetic organisational case can be used.

Format and approach

The self-paced course is planned for 10–12 hours. Develop a plan and revise it as the work progresses.

Planned learning time: 10–12 hours

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