Singapore's AI adoption story looks like a success — adoption among SMEs tripled last year, from 4.2% to 14.5%. But dig into the data and a sharper pattern emerges: most of that growth is one person, trying one tool, once. Awareness and experimentation are strong. Implementation and integration collapse.

 Drawing on lessons from scaling AI-enabled products across a base of 38,000 SMEs, Imran Nazi, Head of ICT at StarHub Business, unpacks why so many organisations stall right after their first AI win — and what actually separates a browser-tab experiment from a working capability.

 This session walks through real deployment patterns across sectors, a simple diagnostic for identifying a use case worth scaling, and why the current funding and policy landscape — from the Productivity Solutions Grant to the new Enterprise Innovation Scheme tax deduction — makes this the moment to move from tab to traction.