AI agents are increasingly shaping how financial organisations operate — yet scaling them beyond pilots remains a leadership and system-design challenge. This session explores how agent-based systems change the way organisations think about enterprise architecture, teams, and delivery models, moving AI from experimentation into durable platforms.

The talk emphasises system thinking: positioning AI agents as part of the enterprise architecture rather than standalone initiatives. It examines how to design agents that operate across functions, how to balance autonomy with control, and how governance, organisational readiness, and cultural shifts influence long-term success. Particular attention is given to embedding agent-based capabilities into real business workflows without increasing risk or complexity.

Drawing on hands-on experience delivering AI within a regulated financial environment, this session offers an experience-driven perspective on turning AI ambition into operational reality. Attendees will leave with a clearer understanding of how to structure AI initiatives, design operating models, and avoid the common pitfalls that prevent promising pilots from becoming enduring enterprise platforms.