Scaling AI When Compute and Power Are Scarce: A Board Guide
A pilot's AI running cost can multiply at scale while power demand climbs. The unit-cost, design and contract choices boards should require.
Read the insight →Insights
AIPEX Insights
Board-level analysis of AI strategy, governance and execution. Each piece answers one question an executive team is facing now, and ends with the decision it implies.
How Should a Board Judge AI Investment When Everyone Is Spending?
Market enthusiasm is no reason to lower the bar. How to apply a hurdle rate to AI, count the full cost and release funding in evidence-based stages.
Read the insight →Will Your Business Model Survive AI? A Board Test for Exposure
AI disrupts business models, not whole industries. A revenue-line test for exposure and protection, and why boards should run their own benchmarks.
Read the insight →Can You Outsource Your AI Advantage? What Boards Must Keep In-House
Anything a vendor sells you, it can sell your competitors. What boards can safely buy from AI suppliers and advisers, and what they must own.
Read the insight →Building on an Open AI Model? Your EU AI Act Role May Change
Adapting an open AI model can turn a deployer into a provider under the EU AI Act. The tests that matter and how boards should track role.
Read the insight →Open-Weight or Closed AI Models? The Vendor Questions Boards Need
Open-weight and closed AI models carry different risks, not less risk. Where each puts the exposure, and six questions boards should put to AI vendors.
Read the insight →US or EU AI Rules? What a UK Board Should Plan Around
US executive orders rely on voluntary cooperation; the EU AI Act is binding law. How a UK board should plan across both, with the UK position.
Read the insight →Buying the AI Upside: What Due Diligence Must Prove Before You Pay
AI upside is now in many deal cases. What buyers should see before paying for it, and how weak evidence should move value into earn-outs and warranties.
Read the insight →Would You Know If Your AI Agents Misbehaved? A Board Guide
Most incident policies only catch breaches and outages. How boards should define, detect and escalate AI agent misbehaviour before outsiders find it.
Read the insight →When AI Agents Break Containment: What Boards Should Require
AI labs disclosed agents escaping test environments in 2026. Why instructions are not controls, and the containment evidence boards should demand.
Read the insight →Is AI ROI Only About Job Cuts? Measuring the Value That Counts
AI return is not the same as job cuts. The value levers boards should measure, how to read hours saved, and the risks of headcount-led business cases.
Read the insight →Is Your Workforce Ready for AI? The Board’s Reskilling Questions
Workforce readiness decides whether AI investment pays. The four dimensions boards should check, where reskilling should start, and questions to ask.
Read the insight →If the AI Bubble Bursts, Will Your AI Investments Still Pay?
A correction in AI valuations would expose AI spend never tied to value. How boards can make AI investments resilient and manage supplier risk.
Read the insight →Should Your Business Slow Down on AI? How Boards Should Set the Pace
The debate about slowing frontier AI is not a reason to stop or rush. How boards should set the pace of AI adoption by readiness and risk.
Read the insight →Partner, Build or Wait? Your Position When AI Reshapes the Market
When AI could reshape your market, you can build, partner or wait. When each position fits, the risks of each, and how boards should revisit the choice.
Read the insight →Open Models and Shared Datasets: The AI Supply Chain Risk Boards Miss
What the July 2026 Hugging Face breach shows about AI supply chain risk, where models and datasets enter your organisation, and the controls boards need.
Read the insight →Will AI Replace Your Software Spend? Build, Buy or Wait
AI is reopening the build-or-buy decision. Which software is most exposed, how to judge each renewal on lifetime cost, and the risks of building in-house.
Read the insight →What If Your AI Model Is Withdrawn? Supplier Continuity for Boards
AI models can be changed, delayed or withdrawn. How boards should map model dependency, set contract terms and test a fallback for critical processes.
Read the insight →Is Your Organisation Built for AI? Redesigning the Operating Model
Why AI strains traditional operating models, the six design choices of an AI-ready organisation, and what boards should ask before scaling.
Read the insight →How Much Autonomy Should an AI Agent Have? A Guide for Boards
How boards should set autonomy limits for AI agents: five levels of delegation, the controls each needs, and the questions to ask before raising them.
Read the insight →Has Anyone Been Fined Under the EU AI Act? What Boards Should Watch Instead
No confirmed EU AI Act fine yet. What regulators can already do, why fines have not arrived, and why customers are asking for the evidence first.
Read the insight →What Is the EU AI Act? A Plain-English Guide for Boards
The EU AI Act in plain English: what it is, who it applies to, the four roles and risk categories, what is in force now, and the evidence test for boards.
Read the insight →What Is AI Readiness? A Framework for the Foundations to Fund First
What is AI readiness? A framework for executives: the identity, device and data access foundations to fund before any AI project, and where ISO/IEC 42001 fits.
Read the insight →Zero Trust Is a Leadership Decision, Not a Technology Project
Zero trust fails when treated as a technology project. Why it is a leadership decision, how AI agents widen the identity surface, and what boards should ask.
Read the insight →From Hype to Habit: Making AI Adoption Stick After the Launch
AI use often rises after launch and then decays. What executives must sponsor, fund and measure so AI adoption becomes a lasting habit, not a launch event.
Read the insight →Leaders Prompt First: Why AI Adoption Starts in the Boardroom
AI adoption follows what leaders visibly do, not what policy says. Why executive role-modelling builds trust, and what the board should ask of its leadership team.
Read the insight →You Bought the AI Licences. Where Is the Return?
Organisations bought AI licences and staff use them like a search engine. What the CFO should measure and executives must change to turn access into return.
Read the insight →Privacy and Security Are One Risk: Why Data Governance Belongs to the Board
Security now runs on personal data. Why boards should govern privacy, cyber security and AI as one data risk, with one accountable owner and one register.
Read the insight →When AI Agents Outnumber Your Teams: What Boards Must Prepare For
AI agents may soon outnumber your teams. What boards must change in composition, oversight cadence and accountability to govern an agentic workforce.
Read the insight →The CFO’s AI Mandate: From Finance Leader to Business Transformer
Why the CFO should own the AI business case: payback-based funding, stage-gated investment, finance-verified value and the board questions that test it.
Read the insight →AI as an Organisational Truth Serum: What It Reveals About How Decisions Really Get Made
AI adoption exposes who really decides, which trade-offs stay unspoken and where workarounds hide. Why boards should treat that as intelligence, not a threat.
Read the insight →AI-Speed Cyberattacks: What the Board Must Decide Before the Incident
AI has cut attack breakout times to minutes. Why the board must pre-authorise crisis decisions, why built-in trust is now a liability, and five questions for the CISO.
Read the insight →Automation or Augmentation? Why AI Strategy Fails When Every Project Is Treated the Same
Automation replaces a task; augmentation improves a person's work. Why treating them as one kind of AI project breaks strategy, and how to run the portfolio in two lanes.
Read the insight →The 90-Day Route from AI Pilot to Production: An Executive Playbook
A three-phase, 90-day programme that takes one proven AI pilot into live use, with the executive decision gate that stops pilots drifting.
Read the insight →Who Owns the AI Agent When It Breaks? Delegated Authority for Boards
AI agents act, not just answer. Why a committee cannot own one, what a delegated authority for an AI agent should contain, and what production-ready looks like.
Read the insight →AI Pilot Purgatory: How to Close the Pilot-to-Production Gap
AI pilot purgatory is the pilot-to-production gap: AI projects that keep proving they work but never reach production. Why it happens and five board questions.
Read the insight →Turn insight into a decision
The Executive Strategy Day takes your AI portfolio from experiments to a board-ready plan with owners, boundaries and a route to production.
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