Enterprise AI Strategist
Governance that survives an audit and systems built to run for years, for national infrastructure operators and growing mid-market enterprises alike.
Engagements & Recognition · Press page → ·
NEOM
Advisory
For organisations planning a first AI deployment
Private advisory on governance, vendor choice and measurement for your first AI deployment.
1:1 · Vendor evaluation included
Sessions and booking →For programmes past the first decision
A monthly arrangement for leaders whose AI programme keeps producing new decisions.
Monthly · Minimum one quarter · Priority calls
Retainer terms →Programmes
For executives and leadership teams
A half-day diagnostic. Leaders leave with a scored baseline, a governance checklist and a 12-week roadmap.
Half-day · Up to 30 · In-person or virtual
See the agenda →For entrepreneurs and mid-market leaders
Two days for owners ready to rebuild the business for AI, ending in a 90-day execution roadmap.
Two days · Up to 12 · In-person
Programme details →
Talks and public sector
For conferences and corporate events
Talks on AI governance, agentic systems and measurable ROI, pitched for senior audiences.
CDO Vision Award 2026 · UN ESCAP moderator
Topics and booking →For agencies and public infrastructure operators
Governed AI that stands up to audit, built on national smart-city and critical infrastructure work.
Readiness · Governance design · Deployment
Public-sector work →Not sure which one fits?
Start a conversationWhat They Say
People who work with him see nothing less than perfection and mastercraft in his work.
He combines deep technical credibility with genuine generosity. He builds what he talks about, shares what he learns openly, and always makes time to encourage others. Any board, regulator or organisation looking to adopt AI responsibly would be fortunate to work with him.
He disagreed with my approach directly and explained exactly why, then told me where he thought it would hold up anyway. If you are working on agentic systems and you want someone who will tell you the truth about your design, I would recommend talking to him.
I recommend Terence without reservation to any organisation seeking a technology partner who understands both innovation and execution.
He is a leading voice in AI-driven urban transformation, and I recommend him to anyone seeking insight, credibility, and forward-looking leadership.
His approach balanced technical rigour and speed of delivery, ensuring that we maintained high standards in our data assets and applications.
His work moves beyond theory into real-world action. I wholeheartedly recommend Terence for his deep expertise in integrating innovation with sustainable business practices.
He delivers AI transformation at scale and proves the result. His expertise in governance is where he stands apart. He puts measurable outcomes first, not fancy tools, helping teams avoid the costly mistakes they cannot afford to make. Any organisation making serious AI decisions would be fortunate to work with him.
Terence is a visionary leader with the capacity to translate complex ideas into executable plans. He has an innate ability to understand the technology and is a systems thinker, but most importantly he is a selfless collaborator. When committed to a project or undertaking, you can be assured of his full commitment to see it through to fruition.
Terence combines exceptional technical knowledge with a calm, measured approach to leadership and problem solving.
Terence has shown an exceptional ability to translate vision into action, manage complexity across organisational boundaries, and lead initiatives that require alignment among diverse stakeholders.
Terence's most enduring legacy is the development of Meinhardt's Group in-house application, KELIX. More than just a software platform, it embodies his passion for innovation, technical expertise, and relentless pursuit of continuous improvement.
As Featured In
“Stop viewing AI enablement as a generic training programme. Purchasing licences is the easy part. The challenge is building the leadership, data, and organisational structure that makes AI stick.”
“With over 25 years of professional experience in digital transformation and 21 years in military strategy, Terence shared how his journey has culminated in a data-driven and adaptive approach to modern security challenges.”
“Presenters, including Terence Kok (Meinhardt Group), highlighted the ability of digital twins to optimise city operations and predict human behaviour, paving the way for more resilient urban systems.”
A working build, filmed on a fictional company. Agents map evidence, pre-fill tests and draft findings. A named auditor decides every one, and the record shows which was which.
Watch the film →Six questions answered in order, from who needs to be in the room to how the first ninety days should run.
Agents now work in teams for days, and the labs use them on AI research itself. Cursor ran a swarm for close to a week and OpenAI reports 3.1 agent-workdays for every human workday. What happens as the human step in the loop gets shorter, and which checkpoints to keep. Part 3 of a ten-part series on the future of humanity.
Read article →
With Dr. Christina Chua
The price per token falls every quarter while the AI bill rises, because volume, tokens per task and model choice grow faster than prices fall. How to tag every model call to the use case that ran it, build a cost-per-outcome line that sits beside the benefit, and run a monthly AI cost review on three numbers. Part 4 of the AI Benefit Realisation series.
Read article →In September 2026 Claude wrote a computer-checked proof of Fermat's Last Theorem in Lean, about 13 million lines long, in 11 days. In July the same checker was fooled into accepting a false proof. A formal proof language lets a machine certify a result without a human referee, and it changes what truth and expertise mean. Part 2 of a ten-part series on the future of humanity.
Read article →Vernor Vinge and Ray Kurzweil taught us to expect the singularity as a single moment, around 2045. In the last eighteen months the people building frontier AI started saying it has already begun, and the best mathematician alive told his field to prepare for more proofs than it can digest. No alarm went off. Part 1 of a ten-part series on the future of humanity.
Read article →
Mentored me in strategic thinking. His Sun Tzu approach to strategy still shapes how I structure AI transformations today.
Co-authoring AI at Scale: From Pilot to Production together.
Co-writes my posts on cybersecurity and AI risk, from model supply chains to AI built into physical devices.
Co-writes my posts on how regulated finance adopts AI, including the AI Benefit Realisation series.
A peer I trade AI governance thinking with, and a mentor whose perspective has shaped how I approach technology governance.
A friend and mentor in AI and data governance, whose thinking has sharpened how I approach compliance-first AI deployment.
Gave me the opportunity to serve and excel in the modern built environment.
Taught me to put people first in everything we do.
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.
Ask Terence
Answers from his writing, with sources.
Listed questions have prepared answers. Typed questions are AI-written from this site's pages and can be wrong. How this works
