Enterprise AI Strategist

Most AI pilots never make it to production. I build the ones that do.

20%+ documented efficiency gains, governance that survives an audit, systems built to run for years, for national infrastructure operators and growing mid-market enterprises alike.

25Years Digital & AI Transformation
6,000+Engineers on one governed AI platform
Asia + Middle EastRegions of Deployment
20%+Task time reduction on that platform

Engagements & Recognition  ·  Press page →

MeinhardtNEOMAI for Developing Countries ForumUN ESCAP (Economic and Social Commission for Asia and the Pacific)IMDASingaporeNational University of Singapore (NUS)GoogleCDO VISIONSingaporeINTERACTECHAsiaST LogisticsPSA MarineCIMBFortinetDelta ElectronicsERIA (Economic Research Institute for ASEAN and East Asia)Urban Land Institute (ULI) SingaporePraxora LabSGInnovate
IMDA GenAI Sandbox Evaluation PanelNUS National GRIP Commercial Consultant MentorUN ESCAP Forum Moderator
The Methodology

A diagnostic-first approach to AI deployment.

Before you purchase any tool, I run a half-day diagnostic across five operational dimensions to find where AI will return value, where it creates risk, and what order to tackle it in.

Take the free self-assessment →

AI Readiness Diagnostic: Five Core Dimensions

1. Data ReadinessDimension 1

Do you have clean, accessible data about your operational processes and decisions?

2. Process DefinitionDimension 2

Are your target tasks documented, consistent, and well-bounded?

3. Governance StructureDimension 3

Who approves AI decisions? Who checks the outputs? What happens when it is wrong?

4. Team CapabilityDimension 4

Can your team operate, review, and correct AI outputs without specialist support?

5. Measurement FrameworkDimension 5

Do you know what business change you will measure, and how?

Under the Hood

This is what retrieval looks like inside an agentic system.

Every agent I build reasons over a structure like this one: entities connected by weighted relationships, reorganising as new context arrives. Most AI governance conversations skip this layer entirely and go straight to the prompt.

A knowledge graph reasoning over relationships in real time.

New to AI

Never touched AI before? Start with this guide.

Six questions, answered in order: who needs to be in the room, what you're building, where to start, why it's worth doing now, when to move from pilot to scale, and how the first ninety days should run. Built for someone starting from zero, backed by data from Gartner, McKinsey, and Deloitte.

Read the Beginner's Guide →
Perspectives

Recent thinking.

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Governance & Risk13 Oct 2026

24 min read · ▶ Audio

Why the AI Model Is the Weakest Link in Your Supply Chain

With Maria Singh

Most organisations have spent years hardening their software, cloud and vendor supply chains. AI adds a dependency those programmes were not built for: the model, and the training data, fine-tunes, retrieval corpus and tools that shape what it does. It is probabilistic, hard to inspect and usually sourced from outside. Here is where the model supply chain breaks, what the public record shows, and how to design integrity, provenance and behavioural limits to the same standard as the rest of the chain.

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Governance & Risk5 Oct 2026

19 min read · ▶ Audio

Using AI to Train and Support Medical Staff Under Pressure

Where AI can safely take load off doctors and nurses today, how it can help train them, and the risks hospital leaders need to control: automation bias, errors carried into the record, deskilling, unsafe drafts and patient data leaving the building.

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AI Strategy30 Sept 2026

14 min read · ▶ Audio

The Fear of Being Late Is Making Leaders Buy the Wrong Things

Being late is the dominant fear in the mid-market right now. Two in three CEOs say the risk of falling behind has pushed them to buy technology before they understood its value, and half say the pace has left them with piecemeal systems. Here is what being late costs, and an order of operations that protects a budget from its owner's anxiety.

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Mentors & Collaborators

Khoo Kheng-Hor
Khoo Kheng-Hor Author & Strategic Consultant, Sun Tzu’s Art of War

Mentored me in strategic thinking. His Sun Tzu approach to strategy still shapes how I structure AI transformations today.

Website
Iram Tanvir
Iram Tanvir AI Strategy for Governments, Professor · HBR Advisory Council

Co-authoring AI at Scale: From Pilot to Production together.

LinkedIn
Ian Loe
Ian Loe Technology Governance & Cybersecurity Leader

A peer I trade AI governance thinking with, and a mentor whose perspective has shaped how I approach technology governance.

Website
Dr. Kevin Shepherdson
Dr. Kevin Shepherdson Founder & Group CEO, Straits Interactive

A friend and mentor in AI and data governance, whose thinking has sharpened how I approach compliance-first AI deployment.

LinkedIn
Bhavya Kukrety
Bhavya Kukrety Managing Director APAC, WATG

Gave me the opportunity to serve and excel in the modern built environment.

LinkedIn
LTC Michael Ong
In MemoriamThe Late LTC Michael Ong Lieutenant Colonel, Singapore Armed Forces

Taught me to put people first in everything we do.

Terence Kok
A Note to Readers

I want to set out plainly why this site exists and what I am trying to do here.

We are living through something the human record has no precedent for. Systems are being built from the accumulated written knowledge of our species, and we are now working next to them. Whether that constitutes a new kind of entity or simply a very capable tool is a question I am not qualified to settle, and I notice that people I respect disagree about it. What I am certain of is that the relationship does not run in one direction only. In learning to build better tools, we are being asked to change as well.

Some of that change is already visible. Work is being reorganised, and some of it is disappearing. The energy and water demands of large-scale compute are real and are being paid for somewhere. Less visible, and to me more interesting, is what is happening to how we think. When a system will produce a plausible answer on request, the habit of sitting with a problem long enough to understand it becomes optional. I do not know whether our cognitive capability is being extended or eroded. My suspicion is that it depends on how each of us chooses to use these systems, and that most of us have not yet made that choice deliberately.

I am not neutral about where this goes. I believe organisations can adopt this technology safely and ethically, and be better for having done so. That belief is a commitment rather than a prediction. It requires keeping people at the centre of the decisions, particularly the decisions that become easier to make when nobody has to look at the consequences.

There is a line from Sun Tzu that has been quoted often enough to have lost some of its edge: “If you know the enemy and know yourself, you need not fear the result of a hundred battles.” I would keep the second half of it. The technology is not the enemy. The thing worth knowing is ourselves: our incentives, our blind spots, and how readily we hand over judgement when something makes it convenient to do so.

So the purpose of this site is straightforward. I go and find things out, I test them, and I write down what happened, including the parts that did not work. If that saves you the same detour, it has done its job.

I would also like to hear from you. If you have run into something instructive, whether it succeeded or failed, send it to me. Where I use what you send, I will attribute it to you by name and represent your account as you gave it to me. What I am after is a shared record rather than a broadcast, and that only works if it is built from more than one person's experience.

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