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24 posts

Epilogue: The T-Shaped Learning Plan

I was at an AI builders meetup last weekend, the kind where half the room is showing off something they shipped over the weekend and the other half is taking notes on napkins. By the time I got home, mine had nine things scrawled on it.

The Data & AI Adoption Roadmap for 2026: A Practitioner's Guide

The single most important thing a business leader needs to understand about 2026 is that the adoption question is already answered. The real question is whether your data and operating model can support what you have already deployed.

AI Governance and Risk: What Every Business Leader Needs to Know

Most organisations have AI practitioners who understand exactly what their systems are doing. What they often lack is decision makers who understand enough to ask the right questions about it.

Aug 26

14 min

Claude Code

Claude Code: The Strategic Case for Building with AI

I launched Claude Code for the first time in an empty sandbox folder, not a real project yet. I typed one line: create a script that asks for my name and greets me. It thought for a second, showed me the code it planned to write, and stopped.

Aug 19

8 min

Product Building

Building Avenote: An AI Content Studio From Scratch

The build that started it all was deceptively simple: an AI note-taker. But the moment I started building one, a different question took over: what happens after the note is taken?

Aug 12

8 min

LLM

Building the AI Solution Advisor: From Concept to Production

Most AI tools get built because someone thought the technology was interesting. This one got built because a colleague asked a simple question, and I realised there was no good answer.

From SEO to GEO: How AI Is Rewriting the Rules of Discoverability

The fundamentals of search have not changed. The distribution has. And most businesses have not yet registered the difference.

First-Party Data & Privacy Strategy

Why collecting customer data is not the same as connecting it, and what the shifting privacy landscape means for how you build a first-party data strategy.

Jul 22

14 min

Marketing Mix Modelling

MMM

Marketing Mix Modelling Is Back: Here Is Why That Matters

Why signal loss has made MMM relevant again, and what it means for how you justify your media budget

Jul 15

12 min

Customer Segmentation

RFM Model

Customer Segmentation Models That Actually Drive Revenue

Why most segmentation is decorative, and how behavioural data changes that entirely

AI in Production: Knowing When Your AI Stops Working

Most enterprise AI deployments have usage dashboards. Almost none have evaluation infrastructure. Those are not the same thing.

When AI Picks Up the Phone

Three production builds (a voice clone, an outbound calling agent, and an automated interview system) and what each one taught about the distance between demo and deployment.

No-Code and Low-Code AI: What Your Team Can Actually Build

The tools have come a long way. So have the misconceptions about where they stop working.

MCP: Connecting AI to Your Business Systems

Why an AI that reasons brilliantly still cannot see your calendar, and the protocol built to close that gap

Jun 10

8 min

RAG

RAG: Teaching AI to Know Your Business

LLMs do not know your business. They know the internet. RAG (Retrieval Augmented Generation) is the architecture that closes that gap — and arguably the single most commercially relevant AI concept for businesses right now.

Jun 3

15 min

Prompt Engineering

LLMs & Prompt Engineering: A Practical Business Guide

What large language models actually are, why prompt quality determines output quality, and the patterns that work

Marketing Attribution: Giving Credit Where It Is Due

Why last-click is lying to your marketing team, and how to fix it

May 20

12 min

CDPs Explained, and Why Most Implementations Fail

Customer Data Platforms

Data Strategy

CDPs Explained, and Why Most Implementations Fail

What a Customer Data Platform actually does, where implementations go wrong, and what good looks like

What Does Data Maturity Actually Mean for Your Business?

Modern infrastructure is not the same as operational maturity. Most regional organisations have one without the other, and that gap is where AI investments stall.

Identity Resolution After the Opt-Out

Why the foundational layer this series has argued for from the start is now adversarial by design, and what to actually build instead.

Making Sense of Your Data Stack

Every data conversation eventually arrives at the stack. What gets discussed far less is sequencing: which layer to build first, and how to match stack complexity to organisational maturity.

Build vs. Buy in the AI Era: The Decision Has Changed

Most organisations are using a pre-AI cost equation to make a post-AI decision. That gap is expensive.

Why AI is Only as Good as Your Data

Everyone is investing in AI. Budgets are being allocated, pilots are being launched, vendors are being selected. The ambition is real and the technology is genuinely capable. But a...

Apr 8

14 min

Artificial Intelligence

AI Strategy

AI for Business: Beyond the Hype

What actually works in 2026, from someone who has been building it

Apr 1

10 min