Terence Kok

Enterprise AI Strategist · Author · Keynote Speaker

Registered Management Consultant (RMC) · ISO/IEC 42001:2023 Lead Auditor

Terence Kok
CDO Vision Award 2026Google Trailblazer Transformation Award 2024Singapore's Most Influential Data & AI Leaders 2026

Biography

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. First, structured impact assessment before deployment begins, so ROI claims are defensible rather than aspirational. Second, AI governance that maintains accountability as systems scale: oversight, escalation paths, and audit trails. Third, 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.

Speaking Topics

AI Readiness Diagnostics

The five-dimension framework for assessing whether an organisation is positioned to deploy AI productively.

Governing Agentic AI Systems

How to design oversight structures that maintain accountability when AI acts without human approval for every step.

Measuring AI ROI

Two measurement layers, model performance and business outcome, and what to measure in the first ninety days. Includes the Return on Employee (RoE) framework for workforce-aligned impact reporting.

AI Governance for Non-Technical Leaders

The four governance questions every decision-maker must answer before deploying AI, translated from IMDA and NIST frameworks into plain language.

Return on Employee: Rethinking AI Investment

Why AI business cases built on cost reduction fail to sustain leadership support, and how the RoE model measures AI performance through workforce capacity amplification, improved decision quality, and cognitive bandwidth returned to higher-value work.

Selected Engagements

2026

Conversational AI Innovation Summit

Keynote Speaker · Singapore

2026

InteracTech Asia

Panel Speaker · Singapore

2026

9th Chief Digital & Data Officer Asia Summit

Panel Speaker · Pan Pacific Singapore

2026

CDO Vision Singapore

Award Recipient & Speaker · Singapore

2026

AI for Developing Countries Forum (UN ESCAP)

Speaker · Bangkok, Thailand

2025

FutureCIO Conference

Panel Speaker · Raffles City Convention Centre, Singapore

2025

C-Engage Convention

Panel Speaker · Singapore

2024

3rd Salalah Engineering Forum

Keynote Speaker · Salalah, Oman

2024

IMDA Digital Transformation Industry Day

Panel Speaker · Singapore