Archives: Agenda

• What “agentic AI” really means in a financial context—and why most definitions fall short
• How continuous monitoring agents benchmark against peers, detect drift, and adapt to changing regulations
• The GRC flywheel: connecting detection, analysis, and remediation into a unified oversight framework
• Where persistent AI agents create competitive advantage by turning compliance into a strategic asset

As AI adoption accelerates across financial services, it’s important to understand the hidden infrastructure challenges behind the sectors AI ambitions. In this fireside chat, Jack and Bill will discuss how organisations are managing the demands of modern AI workloads, from high-density cooling and supply chain constraints to data localisation and network storage. They’ll also share emerging approaches to building resilient, scalable environments and offer forward-looking insights into how the sector can futureproof their AI goals.

• Transparency and explainability of decision-making processes
• Accountability and bias management
• Impact on society and the need for regulation
• Human oversight in AI deployment
• Addressing modern challenges, including those posed by intelligence and digital technologies

Enabling innovation to thrive through making the black box more transparent and explainable.

• How is AI transforming fund governance and investor protection?
• What challenges arise when integrating AI into regulated financial environments?
• Key use cases: Document classification, prospectus analysis, and predictive compliance
• BI vs AI: Complementary tools or competing paradigms?

• The AI opportunity: convert client data into insights and actions (e.g., product recommendations, hyper-personalisation, intelligent prospecting, and client monitoring)
• Closing the investment and feasibility gaps: a practical assessment framework to evaluate AI use cases, secure stakeholder buy-in, and guide implementation
• Future-proofing AI operations: building a tech stack that empowers business teams, enhances customer experiences, and maintains compliance and efficiency with (private) AI