Work / Advisory

Executive Advisory for AI and Technology Leaders

I advise boards, executives and founders on consequential decisions about AI systems, technology strategy and the organizations that run them.

◆AI Strategy & Governance

◆Becoming an AI-Native Organization

◆Architecture & Technical Strategy

◆Risk, Controls & Responsible AI

◆Technology Leadership & Team Design

Engage Advisory

How I Work

Three ways to bring me in.

Standing Advisor

A monthly retainer for the leadership team: architecture reviews, hiring calls, vendor decisions and the questions nobody else will answer straight.

ONGOING · MONTHLY

AI-Native Transformation

Getting the whole organization actually using AI well — the right tools, used properly, by engineers and non-technical staff alike. Assessment, rollout and hands-on workshops.

ASSESSMENT · ROLLOUT · WORKSHOPS

Build Partnership

Hands on the keyboard with your team, from prototype to production, when the system matters enough to be built properly the first time.

SELECTIVE · BY ENGAGEMENT

Becoming AI-Native →See the Build Approach →Buy a Block of Time →

Becoming AI-Native

Every engineer working as if there were ten.

Most organizations have bought the tools and stopped there. The licences are paid for, a handful of people use them well, and everyone else carries on exactly as before. The work is turning that into throughput — across engineering, and across the far larger group of people who never write code.

Discuss a programme Book a workshop

Where you actually are

Which tools your teams have, which they are using properly, and which they are paying for and ignoring. Usually the gap is not the licence — it is that nobody showed them what good looks like.

Engineering throughput

Getting each engineer working as though there were ten of them: agentic coding, review and testing loops, and the judgement to know when to trust the output and when not to.

Everyone else

The larger win is usually outside engineering — operations, finance, legal, marketing. Most of their week is work a model can do, once someone sets it up properly and shows them how.

Workshops that stick

Hands-on sessions with real work, not slideware. People leave having done the thing on their own problem, with the habits and the guardrails to keep doing it.

I teach this as Lead Instructor at AI Academy Singapore, and run the same material privately for engineering and venture teams. If you'd rather start small,buy a research task and I'll tell you where your biggest gap is before you commit to anything.