Most enterprise AI programmes produce proof-of-concepts that never reach production. Sutowo Wong, Managing Director of AI x Data at Temus, has a framework for diagnosing why — and fixing it. He calls it the AI Triangle: three conditions that must be satisfied simultaneously. Miss any one and the transformation stalls.

Recorded after apidays Singapore 2026, this conversation covers the structural reasons AI initiatives fail to scale, why AI transformation has to be CEO-led, how to close the tempo gap between model releases and enterprise deployment, and why governance designed into architecture from the start is an accelerator — not a speed bump.

What we cover:
• The AI Triangle — transformative, sovereign and fast, explained
• The POC trap and why it is a structural problem, not just a technology problem
• Data sovereignty and contextual sovereignty in practice
• Prototype in 6 hours, live deployment in 6–12 weeks
• Why the CEO, not the Chief AI Officer, must drive AI transformation
• Governance as accelerator — and why it must be baked in from the start

Connect with Sutowo on LinkedIn: linkedin.com/in/sutowo/
Temus: temus.com
The Loop Asia: www.theloop.asia