Archives: Agenda

We examine how firms are translating principles into enforceable controls, and where governance may be slowing adoption or shaping competitive advantage

• Defining and operationalising AI risk appetite
• Embedding controls at design time, build time and run time
• Trade-offs between speed, value and control
• What regulators expect and where firms are over-engineering

• What “inevitable” actually means in AI adoption
• Separating signal from noise in vendor and internal claims
• Where to place bets and where to hold back
• Building institutions that can adapt, not just predict

• API-first interaction models
• Structured vs conversational interfaces
• Authentication and identity challenges
• New service design principles

• Data quality and availability challenges
• Governance and ownership issues
• Integration with legacy systems
• Building AI-ready data foundations

• Rise of agent-initiated interactions
• Detecting human vs machine traffic
• Redefining digital channels
• Implications for customer strategy

• Defining success and failure early
• When to stop investment
• Avoiding innovation theatre
• Reallocating capital to proven use cases