Organizations rarely suffer from a shortage of AI ideas. The challenge is deciding where to begin, selecting opportunities that matter, and turning promising experiments into repeatable ways of working.

In this practical fireside chat, Garland’s AI lead and Twenty44 will explore how the organization identifies, tests, and implements AI use cases. The conversation will unpack real examples, lessons learned, employee adoption, governance, and what it takes to move from an individual productivity win to measurable organizational value.

What participants will learn

• How to identify AI use cases grounded in genuine business problems
• How to prioritize opportunities by value, feasibility, and risk
• What separates an interesting experiment from a scalable application
• How to engage employees in redesigning tasks and workflows
• How to measure AI application and business value—not simply usage