- Embedding AI into business units
- New organisational structures
- Shifting ownership from IT to the business
- Aligning teams to AI delivery
- Defining success metrics by function
- Separating efficiency from real value creation
- Tracking ROI across portfolios
- What gets stopped and why
- Risk appetite statements for AI
- Board reporting frameworks
- Challenging value and control claims
- What good oversight looks like
- Product innovation vs margin optimisation
- AI in sales, origination and cross sell
- Pricing, personalisation and yield
- Separating real revenue from internal productivity gains
- New attack vectors
- Behavioural analytics and authentication
- Monitoring and customer harm reduction
- Collaboration with regulators
- Moving from experimentation to portfolio discipline
- Governance models that accelerate rather than obstruct
- What we report to the board
- What we have shut down and why
- Suitable task types vs unacceptable automation
- Control layers and approval workflows
- Accountability for agent actions
- Audit and rollback mechanisms
- Control taxonomy and ownership
- Evidence standards and documentation
- Embedding controls into tooling
- Making governance scalable
