Terence Kok

Terence Kok is an enterprise AI strategist with twenty-five years leading AI and digital transformation programmes across Asia and the Middle East. He has designed and deployed AI systems for national smart city initiatives, critical infrastructure projects, and enterprise operations at scale, including a retrieval-augmented generation platform serving more than 6,000 engineers with zero security incidents. His practice spans the full deployment lifecycle: from readiness assessment and governance design through to production optimisation and ROI measurement.

His work centres on three disciplines most AI implementations neglect. Structured impact assessment before deployment begins, so ROI claims are defensible rather than aspirational. AI governance that maintains accountability as systems scale, covering oversight, escalation paths and audit trails. And an optimised deployment methodology that closes the gap between pilot success and production performance, drawn from the Eight-Dimension AI Readiness Assessment in his book AI at Scale: From Pilot to Production (2026).

Terence introduced the Return on Employee (RoE) framework as a counterweight to narrow cost-reduction AI business cases, quantifying the productive capacity gained per person instead: hours reclaimed, decision quality, and cognitive bandwidth returned to higher-value work. He has applied RoE across mid-market transformation engagements, government capability-building programmes, and international development contexts, including the UN ESCAP AI for Developing Countries Forum.

He serves on IMDA's GenAI Sandbox evaluation panel and as a Commercial Consultant Mentor under NUS National GRIP, and is a member of the Smart Cities Council. Outside AI strategy work, he holds security and delivery credentials that inform his governance practice, including Certified Counter Terrorism Practitioner, Certified Physical Security Consultant, and Certified Scrum Master.