The EU AI Act Deadline Has Moved: What Boards Must Do Before December 2027
What the Digital Omnibus changed, what already applies, whether it reaches UK and US companies, and five board actions.
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Executive Briefing Series
33 briefings on the AI decisions boards are being asked to make now. Each answers one question, with the evidence and the next step.
Why Do AI Projects Fail? The Six Causes Boards Can Fix
Why AI projects stall before they deliver value, the six causes that sit with leadership, not technology, and where to start.
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How to Measure AI ROI: Why Productivity Numbers Mislead
Why hours saved are not a return, and a method a CFO will accept: value levers, baseline, early and outcome measures, owners. Free scorecard.
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Do You Need a Chief AI Officer?
What a Chief AI Officer does, the three ways to fill the role, and when a fractional CAIO is the right answer.
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AI Governance for Boards: The Framework and the Questions Directors Must Ask
The four AI risks directors must own, a six-pillar AI governance framework, who is accountable, and the five questions every board should ask.
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Agentic AI: The Risks and Controls Boards Must Require
When AI acts rather than advises, who is accountable, and the controls to require before agents go live.
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AI Vendor Due Diligence: The Questions Vendors Hope You Won't Ask
The questions to put to any AI vendor before you sign, on data, accountability, evidence and exit.
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Is Your Business Ready for AI? What Boards Should Check Before They Fund It
How to tell whether your business is ready for AI: six readiness domains, the warning signs, a six-level maturity scale and eight board questions.
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Data Readiness for AI: Why Your Data Decides the Outcome
The data questions a board should ask before funding AI: ownership, quality, access, classification, lineage and integration.
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AI Due Diligence for M&A: What Buyers and Sellers Must Check
The eight AI risks to check in a target, the red flags that should reprice a deal and a 100-day AI integration plan.
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How to Scale AI Across the Business: From Pilot to Production
Why AI pilots stall, the six conditions for scale, four phase gates and a 100-day roadmap the board can own.
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How AI Creates Competitive Advantage: Seven Questions Every Board Should Ask
Where AI advantage really comes from, the seven ways it changes how a business competes and the questions to ask before a competitor does.
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ISO 42001 vs ISO 27001 vs NIST AI RMF: Which AI Standard Should You Adopt?
What ISO 42001, ISO 27001 and the NIST AI RMF each cover, which can be certified, how they fit the EU AI Act, and which to adopt first.
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The EU AI Act: A Summary for Boards, with the Timeline and Risk Tiers
The EU AI Act for boards in one place: a plain-English summary, the dated timeline, the four risk tiers and every AIPEX EU AI Act resource.
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Does the EU AI Act Apply to UK and US Companies? Extraterritorial Scope Explained
Whether the EU AI Act reaches UK and US companies, how its extraterritorial scope works and which duties already apply to you.
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EU AI Act Article 50: The AI Transparency Obligations for Chatbots and AI-Generated Content
Chatbot disclosure, AI-generated content labelling and deepfakes: what Article 50 requires, who must comply and what is already live.
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Shadow AI: What It Is, the Risks and How Boards Stop It
Staff are already using AI the business has not approved. What shadow AI is, the four risks it creates and the five controls that bring it into view.
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AI Acceptable Use Policy: What the Board Should Sign Off
What an AI policy for employees must cover: ten sections, a traffic-light rule for data, who owns it and what the board should sign off.
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Microsoft Copilot Readiness: Is Your Data Ready for Copilot?
Copilot finds whatever staff can already open. Oversharing, labelling and licence value: what the board should check before a wide rollout.
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EU AI Act Article 4: What the AI Literacy Requirement Means for Your Organisation
What Article 4 now requires after the July 2026 amendment, who needs AI literacy training, and how to show a regulator you have acted.
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What Does a Chief AI Officer Do? The CAIO Role and Its Responsibilities
The seven responsibilities of a chief AI officer, the rhythm the role runs, the first 90 days and the skills to look for in whoever leads AI.
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The AI-Enabled Operating Model: How to Organise Your Business for AI
What an AI operating model is, centre of excellence vs hub and spoke, and how to redesign decision rights, roles and work so AI scales.
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What Is AI Assurance? A Board Guide to Proving Your AI Can Be Trusted
What AI assurance means in UK guidance, the six techniques behind it, where third-party assurance fits and the evidence to have first.
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AI Risk Register: How Boards Assess and Manage AI Risk
What an AI risk register holds, how to run an AI risk assessment, which framework to anchor it to and who on the board owns each risk.
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AI Governance vs Data Governance: What Is the Difference?
What data governance covers, what AI governance adds, where the two overlap and why a board needs both before AI is trusted with decisions.
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AI for CFOs: The Finance Leader's Agenda for AI Investment, Controls and Reporting
The CFO's AI agenda in four jobs: how to fund AI on evidence, control it, use it in finance and report its value to the board.
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UK AI Regulation in 2026: What Is in Force, What Is Proposed and How It Differs From the EU
There is no UK AI Act. What is in force in 2026, what is only proposed, how the UK differs from the EU and what boards should do now.
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AI Implementation Roadmap: Four Steps From First Check to AI That Delivers
The four-step AI roadmap for boards: check readiness, assess where you stand, plan what to fund and run AI with accountable leadership.
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AI Implementation Challenges: Why AI Pilots Fail in Finance, Sales, Customer Service and HR
Why AI pilots fail in finance, sales, customer service, HR, operations and legal, the failure rate data, and what the board should fix first.
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AI Target Operating Model: Components, Design and Consulting
What an AI target operating model contains, how it differs from today, and how leadership teams design one the board can govern.
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AI Governance Operating Model: How AI Is Governed Day to Day
Committee, owners, risk tiers, approval routes and board reporting: how AI governance runs day to day, and where the gaps usually are.
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AI Roles and Responsibilities: Who Owns AI in a Business?
Who owns AI: the board, the executive owner, business owners, data, technology and risk, with a simple RACI.
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AI Use Case Prioritisation: How to Choose the AI Projects Worth Funding
Score AI use cases on value, feasibility, readiness and risk, and fund a short list the board will back.
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