AI agents are graduating from single-question responders to long-horizon partners that pursue outcomes across interactions, fueling acquisition, retention, and revenue growth.
Realising that opportunity raises practical questions. Which use cases should organisations prioritise? Who should build and own their agents? Where is engineering essential, and where can business experts play a more direct role? What data, integrations, evaluation and guardrails are required to operate successfully?
This discussion will bring leaders together to compare challenges and lessons, and explore how organisations can build, launch and continuously improve agents at speed and scale.
