AI strategy and transformation
Perspectives on AI strategy, governance and delivery, written for leaders who want substance, not hype.
Is Your AI Consultancy Independent?
Almost every AI consultancy calls itself independent and almost none of them mean anything you could check. The question that actually works is what they sell, because that determines the advice before anybody has spoken to you.
A Fresh Pair of Agentic Eyes
If your organisation adopted AI in the last eighteen months, the chances are that everything in it runs on one model and nothing is positioned to tell you when it is wrong. What a fresh pair of eyes means for agents, and three questions to ask this week.
Fix the Data for Everyone, Not Just for AI
The data you are worried about feeding to AI already feeds your board pack. Why "fix the data first" gets the scope and the sequencing wrong.
The AI Cost Line You Cannot Forecast, and What to Do About It
The same agentic task run twice can cost 30 times more, and spending more does not buy accuracy. Only 11% of organisations forecast AI spend within 10%.
The AI Warned Them Twice and Was Ignored. That Is a Supervision Problem.
In Cork v Smith the model flagged its own uncertainty and told the lawyer to check the legislation. Nobody did. The control that failed was human.
AI Accountability Lands on the COO by Default. Ownership Never Does.
The FCA puts technology systems under SMF24, the Chief Operations function. Yet the COO owns AI strategy in 0% of firms surveyed. That gap is a problem.
UK AI Adoption Is Wide and an Inch Deep: What the Official Data Shows
ONS says 35% of UK firms use AI. Only 10% use it extensively. And the Bank of England cannot find a productivity link. What the official numbers show.
The AI Statistics Your Board Quotes Are Mostly Wrong
We traced the six AI numbers we hear most in board papers back to their primary sources. Four do not survive the trip. Here is what each one actually says.
The Real Cost of AI: A Total Cost of Ownership Guide for the COO
The licence fee is just 8-15% of what AI really costs over three years. How a COO builds a true total cost of ownership picture before signing off.
The 8-Day AI Sprint: From Boardroom Conversation to Working Capability
Most AI initiatives stall between the first enthusiastic workshop and anything that actually works. Our sprint model is designed to break that pattern, fast enough to maintain momentum, structured enough to produce something real.
Why AI Strategy Must Lead Technology, Not Follow It
Too many businesses are letting technology vendors set their AI agenda. The organisations that will win are the ones that define their capability model first and let technology serve it.
The Agentic Delivery Model: A New Operating Model for Software Delivery
Agile was designed for people executing work. Autonomous AI agents break that assumption. The Agentic Delivery Model is an open methodology for what comes next.
PE-Backed Businesses and AI: How to Move Fast Without Breaking the Portfolio
PE-backed businesses face unique AI pressures: Value Creation Plans, portfolio coordination, tight timelines. Here's how to sequence AI across multiple entities.
AI Strategy for Northern Businesses: Same Challenges, Sharper Focus
Northern businesses face the same AI decisions as London ones. But you often have something better: leaner teams and faster decision-making.
Why the Best AI Consultants Are Not Always in London
AI consulting quality depends on experience and rigour, not postcode. Some of the sharpest practitioners in the UK are outside London.
AI Readiness Assessment: What It Actually Involves and Why Most Get It Wrong
AI readiness assessments come in two versions: generic maturity models, and actual strategic assessment. Here's the difference and why it matters.
How to Choose an AI Consulting Partner: A Buyer's Guide for UK Businesses
Most AI consulting pitches sound identical. Here's what to actually look for, what red flags to spot, and how to evaluate proposals.
AI in Financial Services: A Practical Guide for Mid-Market Firms
AI can automate KYC, detect fraud and speed up reporting. But regulators demand explainability. Here's how to move forward without getting stuck.
AI Strategy for Insurance Companies: Where the Real Opportunities Are
Insurance is not a monolith. AI creates different opportunities across claims, underwriting, customer onboarding and reporting. Here's where to focus.
Fractional CTO vs Interim CTO: What Is the Difference and Which Do You Need?
Fractional and interim CTOs sound similar but solve different problems. Here's how to tell them apart and which one your business actually needs.
The Blockbuster Question: Is Your Business Model Ready for the AI Era?
AI is not a technology trend. It is a structural shift in what it costs to do work and what businesses need to look like. The question is whether your operating model is ready.
Fractional Chief AI Officer: What It Is, What It Costs and Whether You Need One
You need someone senior who can own the AI strategy without requiring hand-holding. Here is what a fractional Chief AI Officer does, what it costs and whether you need one.
Responsible AI on a Mid-Market Budget
Responsible AI is not a luxury reserved for businesses with dedicated ethics teams. Here is a practical framework for mid-market organisations that want to get it right without overengineering it.
The Real ROI of AI in a Mid-Market Business: What the Numbers Actually Look Like
You are looking at a budget, a board that wants efficiency gains and a growing pile of vendor proposals. Here is what the numbers actually look like.
The CTO's Guide to AI Vendor Selection: Strategy Before Procurement
AI vendor selection is where good strategies go to die. The market is crowded, the pitches are polished and the wrong choice locks you into a technology-led trajectory you did not intend.
How to Write an AI Strategy Your Board Will Back
Most AI strategies fail at the board because they read like technology proposals. Here is how to frame AI strategy in the language your board actually speaks: risk, return and competitive position.
The AI Skills Gap: What Mid-Market Businesses Actually Need
The AI skills gap is real but misunderstood. Mid-market businesses do not need to hire data scientists. They need to build strategic AI literacy in their leadership teams and redesign roles around AI capabilities.
5 Signs Your Operations Won't Scale, and What to Do About It
The business is growing but the operations underneath it are not keeping up. Here are five signs your operating model needs to change and what to do about it.
Why 95% of AI Pilots Fail to Scale, and What to Do Instead
MIT found that 95% of enterprise AI pilots never reach production. The technology usually works. The organisation does not. Here is why, and how to fix it before you start.
What AI Can Actually Do for a 500-Person Business in 2026
The AI conversation has been dominated by enterprise-scale case studies and startup hype. Here is what AI realistically looks like for a mid-market UK business right now.
AI Transformation is 70% People: How to Modernise Without Losing Your Best Staff
The hard part of AI transformation is the people and the process, not the model. Here is how to lead the people dimension so you modernise without losing your best staff.
Shadow AI: The Risk Your Leadership Team Cannot See
Shadow IT was a headache. Shadow AI is a structural risk. When employees adopt AI tools without oversight, the consequences go far beyond an unapproved subscription.
AI Operating Model Design: Why It Matters More Than the Technology
The organisations getting real value from AI are the ones that redesigned how they work, not just what tools they use. Operating model design is where strategy meets execution.
Introducing AI in a Regulated Business: A Risk Officer's Practical Checklist
You are not against AI. You are against AI that nobody has thought through. Here is a practical checklist for introducing AI in a regulated business.
AI Debt: The Hidden Cost of Moving Fast Without Architecture
Technical debt has a new variant. AI debt accumulates when organisations deploy AI tools without the strategic architecture to sustain them, and the remediation costs accumulate quickly.
How AI Can Help You Evidence Consumer Duty Outcomes Without Creating New Risk
Consumer Duty has moved from implementation to impact. AI can help you evidence good customer outcomes at scale, but only if the governance is right from the start.
AI Governance in Financial Services: What Good Looks Like
Governance is not the opposite of innovation. The firms moving fastest with AI in financial services are the ones that invested early in getting their governance right.
Being Strategic When AI Moves Faster Than Your Planning Cycle
The AI market shifts every quarter. Annual planning cycles cannot keep up. Here is how to build an AI strategy that is durable enough to execute and flexible enough to adapt.