Executive Summary
89 articles since January. Most were written to answer one specific question a client or reader had that week, then move on to the next one. A handful turned out to matter more than the week they were published in. This is that handful, organised by the question each one answers, not by when it went up.
Core conclusions
- Twelve articles, grouped into six recurring questions: is the organisation ready, which tasks are safe to delegate, why the demo breaks in production, what a working agent programme looks like, what’s actually changing in how people work, and where the risk is hiding.
- None of these are the newest posts. Recency and usefulness rarely line up, and this list is deliberately biased toward the second one.
- New here? The shorter, ordered version is Start Here, nine of these as a single reading path instead of six grouped questions.
I write most weeks, and most of it is timely by design: a reaction to a client conversation, a new regulation, a number that came out that quarter. That’s the right way to run a blog, but it means the archive rewards browsing less than it should. This is the fix: twelve pieces that answer questions I still get asked today, regardless of when they were written.
Is your organisation actually ready?
Before anything else gets evaluated, procured, or piloted.

Is Your Business Ready for AI? Start With These Five Questions
The same five-dimension framework used in enterprise audits, reduced to a self-assessment anyone can run before a single dollar is spent.
Read article →
The Avenger Tower Fallacy: Why Your AI Strategy Is Failing Before It Starts
The pattern behind almost every stalled AI programme: expensive infrastructure, near-zero adoption, because the sequencing ran backwards.
Read article →Which tasks are safe to hand to an agent?
Not every task belongs to an autonomous system, and the ones that don’t will tell you before you deploy them, if you ask the right questions first.

Beginning Your Journey: Identifying Tasks for Quality, Traceable, Auditable AI Agents
The origin piece for the TRACE framework: five criteria for whether a task is structurally appropriate for agent delegation at all.
Read article →
How to Test an AI Agent Before You Trust It With Real Work
What a testing habit for an agent actually looks like, week over week, not a checkbox exercised once before launch.
Read article →Why does the demo break in production?
The gap between an impressive prototype and a system that survives contact with real data and real users.

Why Your AI Demo Works Great, But Your Production System Doesn’t
Why a prototype that impresses stakeholders in a demo room can start failing the moment it meets real production data.
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Messy Data Is Why Most AI Projects Fail (Fix This First)
The Gartner number behind most failed AI projects, and the fix that has to happen before procurement, not after.
Read article →What does a working agent programme look like?
Past the pilot, into something a Chief AI Officer can actually run and defend.

How to Build Your First AI Agent at Work: A Simple, Step-by-Step Guide
The build order for a first agent, in plain English, skipping the parts that get most teams stuck for months.
Read article →
The Four Dashboards Every Chief AI Officer Must Operate
What a CAIO actually needs on screen once the job stops being about championing the technology and starts being about proving it.
Read article →What’s actually changing in how people work?
Less about job titles disappearing, more about which tasks inside a job are worth doing yourself anymore.

AI Is Not Coming for ‘Jobs’ – It Is Coming for Tasks
The argument, made from tasks rather than job titles, for what is and is not actually at risk, and what to do about it.
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The Entry-Level Job Market Broke. Here’s the Opening It Left Behind.
The door that closed for new graduates, and the different one that opened in its place, watched through the founders I mentor.
Read article →Where is the risk hiding?
The two governance gaps I get asked about most, precisely because most policies were written before either one existed.

Shadow AI Is Already Inside Your Organisation
The governance risk already live inside most organisations, whether IT approved it or not, and what to do about it this quarter.
Read article →
The Data Leakage Risk Hiding Inside Your Fine-Tuned AI Model
What happens to your access controls the moment fragmented data gets combined and fine-tuned into a single model.
Read article →If this is your first visit, the Start Here page walks through nine articles as a single ordered path instead of six grouped questions. For a live application of the frameworks referenced above, the AI Governance & ROI Executive Programme runs half a day, not eight months of trial and error.
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