Moving Agentic AI from Promise to 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, examined what it takes to build an enterprise capable of capturing measurable value from agentic AI. The discussion explored 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

What does effective governance for agentic AI look like, and how can organisations expand an agent’s authority over time?