Insights
Practical thinking on AI implementation, digital transformation, and getting technology to actually work for your business.
The Sat Nav Problem: When Every Business Gets the Same 'Smart' Route
When every business gets the same AI recommendations, the advantage disappears. Why hiring freezes signal commoditization, and why context still wins.
Responsible AI in High-Stakes Consulting: Principles from Production Deployment
Using AI in high-stakes consulting is ethically different from using it to recommend products. When decisions affect careers, organisations, and financial outcomes, the standards must be different. Five non-negotiable principles from production deployment.
From More Data to Better Insights: How AI Expands Analytical Depth for Consultants
The best consulting has always been limited by human processing capacity. That constraint just changed. AI enables comprehensive analysis at scale — surfacing patterns that only become visible when you process every data point instead of sampling.
The Irreplaceable Expert: Why AI Without Human Oversight Fails in High-Stakes Consulting
The best argument for human oversight of AI? We've seen what happens without it. The more capable AI becomes, the more essential the expert in the loop. When AI is 95% correct, the 5% that's wrong is camouflaged by the quality of everything around it.
The Hidden Complexity: Why AI Tuning Determines Everything in Professional Services
Two identical consulting analyses. Same frontier AI model. Wildly different results. What changed? Everything invisible. Configuration choices end users never see determine the difference between accurate AI and expensive mistakes.
From ChatGPT Experiments to Production AI: What We Learned Integrating AI into Consultancy Work
We started with a question: could AI make our consulting work better? After months of continuous trialling and refinement, the answer is nuanced. The distance between AI hype and AI utility in professional services is measured in disciplined experimentation.
The Two Moats: Why Consultancies' AI Advantages Are Structural, Not Timing
Most professional services firms are still asking 'should we explore AI?' The firms pulling ahead are already in production. But the advantage isn't timing — it's structural. Two competitive moats are forming that can't be bought, replicated, or rushed: private data and custom tooling.
Same Drug, Different Story
When a pharmaceutical company submits a drug for approval, it doesn't simply resubmit the same documents elsewhere. The same clinical data needs presenting differently for the FDA, the EMA, and Japan's PMDA. Nearly 30% of New Drug Applications aren't approved first time — not because the science is wrong, but because the story told about that science doesn't match what each regulator is looking for.
Another Industry That Knows Everything But Can't Find Anything
Pharmaceutical regulatory affairs is a $10 billion industry that can map a human genome in hours but still assembles regulatory submissions by hand. Nearly 30% of New Drug Applications aren't approved first time — not failures of science, but failures of knowledge management.
Making Tax Digital for Accountants: You've Chosen the Software. Now What?
81.7% of accountants see MTD as their biggest challenge — but 79% also see it as their biggest opportunity. The compliance conversation dominates, but the harder questions are commercial.
Why Your B2B Buyers Don't Visit Your Website Anymore
B2B buyers have adopted AI search at 3x the rate of consumers and now trust it more than vendor websites. But the surprising data shows AI-referred visitors spend 300% more time on site. Declining traffic might be the best thing that's happened to your marketing.
Why Transformations Fail the Departure Test
If everyone who built this left tomorrow, would it keep working? Most transformations fail because they're built on people, not infrastructure. Here's the knowledge architecture fix.
Identifying High-ROI Processes for AI Automation
Most people intuitively know which tasks are too complex, too arduous, or too boring for humans alone. We've found high-value processes fall into three categories — and picking one from each is the fastest way to prove AI value.
You Still Have to Own It
Every legal system that's looked at this question has reached the same conclusion: if you publish it, send it, or act on it, you own it. AI doesn't carry liability. You do.
Seven Ways to Stop Your AI From Making Things Up
AI hallucinations cost businesses real money. Hallucination rates have dropped from 38% to 8%, but you can push that lower with these practical techniques.
Your Clients Are Already Using AI to Check Your Work
39% of clients now validate accountancy advice with AI before acting. Discover how the confidence gap is holding firms back, and why the window for competitive advantage is closing fast.
Why Most AI Projects Fail (And What the 5% Do Differently)
MIT's Project NANDA found 95% of enterprise AI pilots deliver zero return. The difference isn't the technology - it's implementation and context.
Why Most of Your Technology Stack Adds No Value
Your technology stack is probably larger than it needs to be. Most of it adds no value. Here's how to identify what actually matters.
The Hidden Costs in Vendor Proposals
Vendor proposals look attractive until you understand what's really included. Learn to spot the hidden costs before you sign.
Do You Know What Your AI Actually Costs?
AI costs extend far beyond API calls and licensing fees. Here's how to calculate the true cost of AI implementation.
5 Signs Your Business Actually Needs AI
Not every business needs AI. Here are five genuine indicators that AI could add value to your operations.
Faster, Cheaper, Better: Pick All Three?
The old project management triangle says you can only have two. AI is changing that equation - but not how you might think.
Where to Start with AI: A Practical Guide
The biggest AI question isn't "should we?" - it's "where do we start?" Here's a framework for identifying your first AI use case.
Information Asymmetry: Buying IA vs AI
Vendors know more about their products than you do. Here's how to level the playing field when evaluating AI solutions.
Your Buyers Are AI-Native. Your Marketing Isn't.
A new generation of buyers uses AI to research purchases. Most marketing hasn't caught up. Here's what to change.
8 AI Mistakes Costing UK Businesses Millions
Updated analysis: eight critical mistakes UK businesses make when implementing AI, and how to avoid them.
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