AI governance and ESG compliance, from the frameworks in The Verification Economy to dispatches from real engagements. New pieces every few weeks. Subscribe via RSS →
Facilitating the Data, Tech and AI for Sustainability Solutions workshop at the Sustainable Finance Forum, Birmingham, and what the room actually said.
An anonymised Executive AI Readiness Review found six of seven pillars scored Red, and the deepest gap wasn't the one anyone expected.
Why a supplier questionnaire collected by procurement before renewal isn't due diligence, and how it fails both sides of double materiality at once.
Facilitating the Data, Tech and AI for Sustainability Solutions theme at the Sustainable Finance Forum, Birmingham, 14 September 2026.
Why ESG, climate, carbon and GRC data stop talking to each other, and what it costs when they do.
Your AI has a carbon footprint. Your competitors don't know how to prove theirs. The seven pillars of sustainable AI infrastructure, the maturity ladder that scores them, and why 'Verified' is the same destination as Verification Economy readiness.
The assessment gives you a score and a set of named gaps. What happens next depends on both: the five-stage engagement pathway, which book or framework matches which gap, and how the associate network fits in.
A four-stage roadmap from ad hoc AI adoption to the Trust Factory, from The Verification Economy.
Why verification, not generation, is the new competitive moat: the thesis behind The Verification Economy.
HITL, HILE, HOTL: the governance model for assigning the right level of human oversight to each AI workflow, from The Verification Economy.
The metric that makes AI's hidden verification cost visible, from The Verification Economy.
The token economy, the recursive loop trap, the Total Cost of Ownership formula, and the three FinOps airbrakes that stop a runaway AI agent before finance notices.
Why the real danger of free consumer AI tools is behavioural drift, not data leakage, and the 45-day Stabilise and Unblock framework that closes the gap.
Why AI adoption without human change management burns out your best staff instead of saving them time: workload creep, verification fatigue, the Total Task Time formula, and the 3-week mini-trial protocol.
ESG reporting didn't fail because people weren't trying. It failed because the rules of the game changed. Why CFOs are becoming the only function that can make ESG reporting audit-ready.
The FIFA World Cup 2026 is being billed as the most spectacular event in sporting history. As a sustainability professional, the deeper question is whether its climate strategy can survive scrutiny.
What the ICC 'kill switch' moment means for EU suppliers and citizens. Digital sovereignty has moved from an abstract policy debate to a live procurement requirement.
I've survived enough bubbles to recognise the warning signs. Why the financial architecture being built around AI infrastructure looks unsustainable, even though the technology itself is real.
The global supply chain is responsible for about 90% of the environmental impact of business activities. Most of that supply chain is SMEs. Why ESG reporting is so hard for smaller suppliers, and what actually works.