- Legacy system constraints
- API enablement and interoperability
- Hybrid and multi-cloud strategies
- Cost and complexity trade-offs
Archives: Agenda
The future of customer journeys in an agent-driven world
- Proactive vs reactive service models
- Delegated decision-making
- Personalisation at scale
- Redefining customer experience
From innovation theatre to enterprise delivery: redesigning vendor engagement
- Why POC culture fails
- Sandboxes with controls and clear success criteria
- Selecting long term partners
- Governance in collaboration
Agent-to-agent interaction: the next operating model
- Systems communicating autonomously
- Data exchange and interoperability
- Risk propagation across ecosystems
- Governance of machine interactions
Buying AI safely: procurement, contracts and third-party assurance under the EU AI Act
- Audit rights and transparency clauses
- Managing subcontractors
- Evidence of testing and controls
- Practical due diligence checklist
From experimentation to discipline: building an AI use case portfolio
- Moving beyond isolated pilots
- Funding and prioritisation models
- Kill criteria and sunset decisions
- Aligning use cases to strategic outcomes
Coffee & networking
Agentic in practice: how financial institutions interact with AI at scale
AI agents will not operate in isolation. We explore how institutions prepare for a world of interacting agents across platforms and counterparties
- Coordination between internal and external AI agents
- Data sharing, interoperability and standards
- Risk propagation across interconnected systems
- Governance models for ecosystem-level AI
Human-in-the-loop: where do people sit in an agent-driven organisation?
As AI agents take on more responsibility, we examine how human roles evolve across financial services
- Redefining roles across operations, risk and compliance
- When intervention is required and how it is triggered
- Training and upskilling for an agentic workforce
- Avoiding over-reliance on automation