Insights
Practical thinking on AI implementation, digital transformation, and getting technology to actually work for your business.
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.
7 AI Mistakes Costing UK Businesses Millions
UK businesses are making predictable mistakes with AI implementation. Here are seven to avoid.
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.