Writing archive
Older essays on agentic systems, governance, operations, incentives, and the work of making AI useful in real organisations.
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
Recent data shows AI-generated content floods LinkedIn, yet boasting "no AI" signals effort over outcomes—missing out on efficiency gains that add real value.
Agentic AI is shifting from technical prototype to everyday teammate. How you set its cultural “operating system” will make or break your results.
The United States federal government has struck a deal to provide every executive branch agency with ChatGPT Enterprise one dollar per agency, for a whole year. That’s not a typo. It’s "government leading by example using the best in AI to improve delivery for
The game changed after The New York Times secured a US court order that could force OpenAI to keep all ChatGPT conversation logs—maybe forever. For firms across England, it’s the watershed moment we always said would come. OpenAI’s own CEO, Sam Altman, isn’t m
"Board of Directors", "C-Suite", "Risk & Compliance Leaders"] tags: ["Agentic AI", "Board Leadership", "ISO 27001", "Operational Resilience"
It started as a playful curiosity—seeing my LinkedIn title echo back in quirky automated replies. Today, it’s a real risk: attackers, and sometimes just creative users, can slip hidden instructions into fields that agentic systems read. That means generative A
In July 2025, I watched a familiar scene: a UK leader, live on air, stalling and cycling as they waited for information. It was more than awkward, it was telling. In an age when any fact is a search away, is public life about memory, or something more? Now, th
"Board of Directors", "Executives", "Digital Transformation Leads"] tags: ["AI Accountability", "Enterprise Strategy", "Agentic Workflow", "Feedback Loops", "Vendor Procurement"
Morning meetings sometimes challenge your thinking in ways you didn’t expect. Today, someone floored me with a simple question: Would you pay extra for higher intelligence—in people, or in digital agents?
The mood at LegalTechTalk O2 this year was unmistakable: legal technology is no longer a sideshow. Boardrooms are debating not “if” but “how soon” agentic AI can reshape their companies’ legal engines. As I took in the candid backroom stories, one question tie
Ever stared at a transformation project and realised you don’t fully understand what’s holding things back? I have. After hitting a tough blocker on a new workflow, it dawned on me: what looks like slow progress is often a sign we’ve missed something deeper so
As boards grapple with more complexity and stakeholder pressure, even the best decision-makers can miss critical cues. Enter agentic AI systems that deliver unemotional, assumption-free analysis, offering the fresh perspective boards need to avoid costly mista
Startup innovation isn’t just moving faster it’s changing shape beneath our feet. In less than a year, generative AI platforms have turned the old MVP (Minimum Viable Product) dynamic on its head. For boards, investors, and CxOs, the new rule is already clear:
Leaders are rethinking what smarter AI looks like not chasing limitless data, but balancing the best of human insight, self-improving models, and robust governance.
Many AI pilots begin with anxiety: Will we lose jobs? Could AI erode company culture? Yet when our strategy team reconsidered our workflow, the tone shifted—focused on enabling human work, not just automating for cost. This case study lays out how leading orga
Companies deploying large-scale intelligent “crews” to filter, analyse and act on online information now face a rapidly escalating challenge: adversaries aren’t merely tricking humans—they’re building targeted misinformation webs to fool even your most advance
When was the last time your board received feedback so candid it changed the course of strategy? For most enterprises, the honest answer is: too long ago.
As AI reshapes boardroom dynamics, the allure of multi-agent “agentic crews” promises step-change in how we tackle projects, organise knowledge, and define team focus. Yet, the true value—and risk—lies not in autonomous potential, but in how well we structure,
During a recent boardroom demo, I showed a colleague a market report crafted by a multi-agent AI team—each agent assigned tasks, overseen by a domain expert, the process tracked from ideation to risk analysis. Instead of interest, he recoiled: “I don’t want to
Most executives have seen the hype around GPT-3 and GPT-4. Now, AI is entering a new phase that will set apart tomorrow’s winners: the rise of orchestrated, multi-agent systems—built not for text prediction, but for dynamic, actionable business change.
Back in the feudal era, raw strength won battles and kept villages safe—today, the traits that once shaped society’s upper hand have shifted. Fast-forward to 2025, and we’re witnessing a new frontier: enterprises realising that ADHD, dyslexia, and neurodiverge
Pressure to deliver AI-driven productivity gains is mounting. But after the first wave of chatbots and data dashboards, leaders are realising: technology alone rarely transforms an enterprise. The real question is: Who drives day-to-day adoption, trust, and pr
Enterprises are at a crossroads—the question is no longer whether to use artificial intelligence (AI), but how AI represents the organisation in every digital touchpoint. As agentic AI moves from back-office automation to front-line roles, leaders face a new s
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