GenAI Enablement​ Controls Framework​

Client 

A world’s largest banking and financial services organisations, serving over 39 million customers across 62 countries and territories. The bank emphasises sustainable finance, digital innovation, and risk management as core components of its long-term strategy.

Challenge

The Bank aimed to accelerate GenAI adoption but faced a fragmented process for evaluating use cases, requiring ad-hoc assessments for each.

A structured framework was needed to standardise terminology, categorisation, and risk assessments, enabling efficient scaling of low-risk GenAI use cases.​

Approach

Taxonomy Development: Created and socialised taxonomies for AI use cases, capabilities, and autonomy levels to unify terminology​

Framework Design: Developed a Controls and Capabilities framework, including a questionnaire to assess use cases and map risks to controls​

Stakeholder Engagement: Presented the framework to Risk Domain Owners to gather feedback and align with current governance processes.​

Results​

  • ​Streamlined Adoption​: Delivered a framework providing a clear path to production for low-risk GenAI use cases, freeing resources to focus on higher-risk ones​.
  • ​Standardised Processes​: Introduced a common terminology and consistent categorisation of AI across the bank.​
  • Scalable Solution​: Accelerated GenAI adoption with a reusable, risk-based evaluation approach.


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