Session Outline
1. The AI Maturity Challenge
- Where financial institutions stand today
- The pilot trap: why experiments don’t scale
- Characteristics of AI leaders in the industry
- Regional context: AI adoption in GCC financial services
2. Building the Foundation for Scale
- Data infrastructure and quality requirements
- Technology architecture for AI deployment
- Talent: build, buy, or borrow?
- Organisational structures that enable AI
3. Use Case Prioritisation
- Balancing quick wins with strategic bets
- Assessing feasibility, impact, and risk
- Sequencing for capability building
- Stakeholder alignment and sponsorship
4. Operating in a Regulated Environment
- Model risk management requirements
- Explainability for customer-facing AI
- Regulatory engagement strategies
- Documentation and audit trails
5. Change Management and Adoption
- Workforce readiness and reskilling
- Process redesign for AI-enabled operations
- Cultural barriers and how to address them
- Measuring and communicating success
6. Strategic Planning Exercise
- Assess current AI maturity
- Identify scaling priorities
- Develop a 12-month action plan
- Present and receive peer feedback
Outcomes for Participants
- Diagnose barriers to scaling AI in their organisation
- Prioritise AI investments for maximum impact
- Navigate regulatory requirements confidently
- Develop actionable plans to accelerate AI adoption