Archives: Agenda
Chairperson’s closing remarks
From experimentation to industrialisation: building repeatable AI delivery
- Standardising tooling and processes
- Reusable components and platforms
- Scaling governance alongside delivery
- Moving from bespoke builds to enterprise capability
Real-time AI in financial services: where speed actually matters
- Trading, fraud and customer decisioning
- Latency vs accuracy trade-offs
- Infrastructure requirements
- Where real-time is unnecessary
From pilots to platforms to portfolios: scaling AI across the enterprise
- Sequencing capability build
- Organisational inflection points
- What breaks at each stage
- Lessons from banks further ahead
High cost, low satisfaction: targeting the right problems first
- Identifying operational bottlenecks
- Customer pain points as AI opportunities
- Balancing cost reduction vs experience uplift
- Avoiding “interesting but useless” use cases
Lunch & networking
Prompting for policy: encoding controls into your AI workflows
- Prompt libraries and approvals
- Testing against risky behaviours
- Versioning and governance
- Practical templates
Operating model evolution: redesigning the bank around AI capabilities
- Centralised vs federated AI teams
- Embedding AI into business units
- Role of risk and governance functions
- Aligning incentives and accountability
Regulation in the age of agents: operationalising the EU AI Act
As regulation catches up with AI, we explore how firms translate policy into practice for agentic systems
- Applying the EU AI Act to autonomous decision-making
- Risk classification and compliance for agent-driven use cases
- Documentation, reporting and audit requirements
- Preparing for evolving global regulatory expectations