Moving Agentic AI from Promise to Performance
What does it take to turn agentic AI from promise into performance?
Agentic AI is moving rapidly from experimentation into enterprise planning. However, deploying the technology alone will not create value. Sustainable differentiation will come from an organisation’s ability to connect agentic capabilities to meaningful business outcomes, while redesigning workflows, data, governance and human roles to deliver them reliably and responsibly.
Moving agentic AI from promise to performance requires organisations to change both what they deliver and how they operate. Leaders will need to innovate the customer experience, employee workflow and end-to-end processes that agentic AI can enable. At the same time, they must redesign operational processes, connect data and systems, redefine human roles and establish the controls needed to make AI deliverable, measurable and trusted at scale.
This Financial Times digital dialogue, hosted in partnership with Mastercard, will examine what it takes to build an enterprise capable of capturing measurable value from agentic AI. The discussion will explore how organisations can identify where agents can make the greatest difference, prepare their operations for deployment, and build on lessons from individual use cases to create a repeatable path to value at scale.
Innovation
What new customer experiences, employee workflows or business outcomes can agentic AI make possible?
Renovation
What changes to workflows, roles, responsibilities and decision-making are required to capture the full value of an agentic AI deployment?
Governance
How can organisations expand agentic AI’s authority while maintaining clear governance, accountability and safeguards?
Why Attend?
Understand
The big picture, not just the individual strands of the business you work in
Discover
New approaches and strategies to help win market share