AI is moving beyond generating insights and assisting decisions to taking action — planning, coordinating and executing increasingly complex workflows. This shift towards agentic AI has implications far beyond technology, challenging the operating models, organisational structures and assumptions through which businesses have traditionally competed. As intelligence becomes more accessible, competitive advantage may depend less on who has the best AI and more on who can redesign their organisation, infrastructure and decision-making to turn intelligence into outcomes at scale. This session explores how agentic AI is reshaping the architecture of business from the systems that connect people, data and machines to the operating models that enable speed, adaptability and differentiation. In a world where AI can act, what will separate the leaders from the laggards and where will tomorrow’s competitive advantage really reside?

Chocolate Finance will discuss their AI journey across the organisation, focusing on the improvements made in the software engineering team. Listen to how they built a family of engineering agents on AWS Bedrock AgentCore, ensuring compliant, scalable and extensible AI-driven engineering.

The first wave of AI was about proving what intelligence can do. The next challenge is putting it to work at scale. For financial institutions, AI must operate across fragmented systems, distributed operations, regulatory boundaries, and decades of technology investments. Success is no longer determined by models alone, but by the ability to operationalise intelligence while maintaining Scalability, Sustainability and Security. This keynote explores how leading financial institutions are moving beyond AI experimentation by building the engineering capabilities, operating foundations, and integration frameworks required to deploy intelligence across existing systems, processes, governance structures, and talent. The goal is not to rebuild the enterprise, but to unlock the value of AI at scale.