Writing archive
Older essays on agentic systems, governance, operations, incentives, and the work of making AI useful in real organisations.
Because when we're working with Agentic AI, one of the best methods is to start working with good data and system design. Think about how, well, aroused that your system is gonna run on. How will you know when something starts? How are we know when there's som
Because amidst the excitement about agentic AI, a subtle but persistent challenge keeps cropping up. It’s not about better tools, sharper reasoning, or the intelligence of the agents themselves. It’s about how these systems decide what is actually worth rememb
A painful nail infection turned into a leadership lesson on decision quality: why confident crowd advice can be riskier than careful AI, and how to build an escalation mindset that keeps people safe.
A leadership-level reflection on the long arc of AI, from Turing and sci‑fi to world models and governance, and what it means for how you lead now.
If your documentation lives everywhere and nowhere, your AI agents will fail. Here is how leaders can fix the chaos before it kills automation and onboarding.
A simple, leadership-friendly way to help you and your team build practical AI skills in 30 minutes a night using one smart prompt
why am i writing this blog post? Because every week I see the same line on LinkedIn: if you do not learn AI now, some twenty-something will run rings around you and take your job.
How leaders can simplify their agentic architecture with Markdown and JSON, and still stay robust, auditable and future proof.
Why information boundaries matter for trustworthy business automation-and how leaders can turn implicit rules into explicit agentic guardrails.
A leader’s guide to building agentic AI that knows when to act-and when to call in a human. Real-world lessons, actionable steps, and honest stories.
Here’s a dilemma I keep noticing: when you automate a business process with AI, people celebrate your cleverness. But use the same tech to write a song or design art, and suddenly it’s “cheating.” That split is more than odd, it reveals what we really value in
If you grew up thinking creativity belonged to professionals - the musician on stage, the coder in Silicon Valley, that “talented” one in the corner; you might be one leadership decision away from rewriting that story for your people, your family, or even your
Most agentic routines in the enterprise run like clockwork they complete the task, log an outcome, and move on. But here’s the thing: a system that only executes is like a worker who forgets yesterday’s best ideas. This week, I realised our agentic routines co
If you ask your team who’s played with AI today, chances are many will say yes. But go deeper - who’s tinkered? Most will admit they haven’t touched project creation or explored any settings at all. This isn’t a minor gap - it’s a defining leadership challenge
This morning’s team meeting gave me pause: seven people dialled in, and five different AI note-takers logged attendance alongside us. Instantly, the old fantasy of a single “company AI” looked almost quaint. We’re quietly moving to a world where everyone bring
Over coffee, parents keep asking me the same thing: is AI making it impossible for kids to think for themselves? They worry their children won’t know how to question, solve, or decide. But maybe the bigger problem is this — most of us (including schools and wo
At breakfast in Morocco, prepping for a CEOs’ conference, I got the best metaphor for digital transformation I’ve seen in months. “Why am I writing this blog post? Because this morning, at breakfast in Morocco...I was handed the perfect metaphor for agentic wo
Let’s get honest: the story dominating boardroom conversations this month isn’t about AI gone rogue – it’s about leadership that leaves oversight on autopilot. The Deloitte–Australia incident didn’t just raise eyebrows; it exposed how fragile reputation and bu
Most boards hear the promise: AI in customer service unlocks speed, data, happier customers. But here’s the thing when you supercharge customer interaction with automation, the rest of your business rarely gets the same upgrade. The operational fallout? That’s
Open any Q3 board pack right now, and there’s likely a new line item: “AI Cloud Costs – Unplanned Overage”. Sound familiar? Over the last year, I’ve watched multiple leadership teams discover that chasing AI capability through cloud providers often means losin
I’ve spent months working with “Agentic Workers” in production. AI agents that respond to requests, automate routine jobs, and run entire processes at digital speed. The possibilities are exciting, but the wake-up call is even bigger: every new AI-powered task
It is a startling statistic that a single pair of jeans can have a water footprint equivalent to thousands of AI conversations. But this begs a more important question for 2025: Why is our intuition so wrong about this? Why is it so easy to picture a data cent
Here’s a thought to start your day. Before you worry about the water used to train a large language model, ask yourself: how much water are you wearing?
Minimal Usage in UK: Contrary to public perception, most commercial data centers in the UK use very little water. A recent techUK survey (with the Environment Agency) found 64% of English data centers consume under 10,000 m³ of water per year , which is less t