Shadow AI Is Already Inside Your Organisation
More than 90% of employees are already using personal AI tools for work tasks. The governance risk is not the AI. It is your data leaving your systems without any controls in place.
Read →Chief AI & Innovation Officer
AI adoption that is measurable, governable, and built to last.
Terence Kok designs AI deployment frameworks for organisations that cannot afford to get it wrong. The same methodology that governed AI for national smart city programmes, applied to SME marketing operations.
CDO Vision 2026 Award Google Trailblazer 2024 RMC · Singapore
Engagements & Recognition
What They Say
From the people who've worked with Terence.
Terence combines cutting-edge knowledge of artificial intelligence with a clear, pragmatic vision of how AI can be deployed responsibly and effectively to shape smarter human intelligence and more sustainable cities. He is a leading voice in AI-driven urban transformation, and I recommend him to anyone seeking insight, credibility, and forward-looking leadership.
Terence provided strong direction and support in allowing my team to spearhead Meinhardt Group's data transformation journey. He was able to sieve out the noise and ensure that the team delivered on the most salient issues. His approach balanced technical rigour and speed of delivery, ensuring that we maintained high standards in our data assets and applications.
I have known Terence for more than seven years. He has been my mentor in the digital and AI space — knowingly and unknowingly. People who work with him see nothing less than perfection and mastercraft in his work.
The Methodology
A diagnostic-first approach to AI deployment.
Before deploying any AI system, Terence runs a structured readiness assessment across five operational dimensions. This is not a vendor evaluation checklist. It is a diagnostic built from the eight-dimension framework in AI at Scale: From Pilot to Production, condensed for SME marketing operations.
The assessment identifies where AI will produce measurable returns, where it will create operational risk, and in what order to proceed. It takes half a day. It saves months of misdirected spend.
Take the free self-assessment →The 5-Dimension SME Readiness Framework
Based on Appendix A of AI at Scale: From Pilot to Production. Adapted from the Eight-Dimension AI Readiness Assessment for SME marketing operations.
What Terence Offers
Three ways to work together.
AI Agent Readiness Audit Workshop
Half-day cohort-based diagnostic. Adapted from the PIF capability-assessment methodology. Each participant assesses their business across five readiness dimensions and leaves with a benchmarking scorecard and twelve-week improvement roadmap. No prior AI knowledge required.
For business owners & leadership teams
Strategic AI Advisory
Structured advisory engagements for organisations making first AI deployments. Governance frameworks, vendor evaluation criteria, and measurement design. Draws on the same methodology applied to enterprise programmes across Asia and the Middle East, scoped for SME operating constraints.
For marketing leads & operations
Keynotes & Thought Leadership
Speaking engagements at industry forums on AI governance, agentic systems, and measurable ROI for non-technical leaders. Past forums include CDO Vision Singapore, InteracTech Asia 2026, AI for Developing Countries Forum (Bangkok), and Chief Digital & Data Officer Asia Summit 2026.
For conferences & corporate events
Practitioner's Guide
AI at Scale: From Pilot to Production
Enterprise AI deployment frameworks for leaders who cannot afford to get it wrong
The Book
AI at Scale: From Pilot to Production
A 23-chapter practitioner's guide built from fifteen years of production deployments across Asia and the Middle East. The eight-dimension AI Readiness Assessment in Appendix A is the foundation for every workshop and advisory engagement.
Written for leaders making first AI deployments, not for data scientists. Governance, measurement, and risk come first. Technology second.
23 Chapters
8 Readiness Dimensions
5 SME Adaptations
Selected Projects
Enterprise programmes. SME principles.
Meinhardt AI Centre of Excellence
Enterprise AIRAG platform deployed across 6,000+ engineers. 20%+ documented reduction in routine task time. Zero security incidents across a multi-region deployment. AI-assisted design review with human-in-the-loop governance.
SME Takeaway
The same retrieval-and-governance architecture that works for 6,000 engineers applies equally to a ten-person firm's customer enquiries and product catalogue.
Global AI Governance Framework
GovernanceGovernance standards for Meinhardt Group's AI deployments across Asia and the Middle East. Aligned with Singapore's IMDA framework and NIST AI RMF. Covers agentic systems, LLM deployment, and human oversight design.
SME Takeaway
The four governance questions every business owner must answer before an AI agent acts on their behalf.
NEOM Bay Airport Digital Strategy
InfrastructureAI-driven operational intelligence for a greenfield international airport in Saudi Arabia. Passenger flow prediction, baggage optimisation, and integrated operations control. Designed for zero-legacy-debt deployment from day one.
SME Takeaway
AI that learns from real operational data in real time applies equally to service businesses tracking customer journey and staff scheduling.
Sultan Haitham City IOCC, Oman
Smart CitiesCity-scale ICT/IoT operational control centre for a new urban development in Oman. Integrated sensor networks, real-time analytics, and multi-agency command architecture.
SME Takeaway
Sensor-based operational monitoring at city scale uses the same feedback loop principles as customer journey tracking for a retail or service business.
Perspectives
View all articles → Recent thinking.
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Read →Why Your Choice of First AI Use Case Will Make or Break the Programme
MIT research is explicit: most AI pilot failures come from poor use case selection, not model quality. Here is the six-criterion framework for choosing right the first time.
Read → Workshop
AI Agent Readiness Audit Workshop
A half-day cohort diagnostic adapted from the PIF capability-assessment methodology and Appendix A of AI at Scale. Each participant assesses their marketing operations across five readiness dimensions and leaves with a benchmarking scorecard and improvement roadmap.
- Format Half-day cohort, in-person or virtual
- Output Five-dimension scorecard and twelve-week roadmap
- Based on Eight-dimension AI Readiness Assessment, AI at Scale Appendix A
- Suitable for Business owners and marketing leads, no technical background needed
What you leave with
- A scored baseline across all five readiness dimensions, benchmarked against comparable SMEs
- Identification of the single highest-return AI use case for your current operating stage
- A twelve-week improvement roadmap prioritised by impact and reversibility
- A governance checklist adapted from Singapore's IMDA framework for your business size
AI Agent Readiness Audit Workshop Next cohort open · Limited to 12 participants