Insights
Practical thinking on AI implementation, digital transformation, and getting technology to actually work for your business.
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.