Insights
Practical thinking on AI, data, and getting things done.
The AI your firm says it doesn't use
Construction firms report the lowest AI use of any industry the ONS measures, while their staff use AI tools the firm cannot see. What that means for construction leaders, with the full guide to download.
More With Less: What a Dutch Potato Farmer Can Teach Every Business About Data
A Dutch farmer nearly doubled his potato yields on twenty per cent less water. The lesson for any business, and why it has little to do with GPU-hungry AI.
Why Your Business Needs an AI Readiness Assessment Before Spending a Penny
85% of AI projects fail. Most of them never should have started. Here's how to make sure yours isn't one of them.
Strava, AI, and the Value of Software
I replicated premium Strava features in under an hour using AI. But that misses the point - software value comes from domain expertise, not code generation.
Your Data Silos Aren't the Disease - They're the Symptom
Why destroying silos doesn't fix the problem, and what to do instead.
Vibe Coding: The Hidden Risk Behind Your Team's AI-Built Tools
Your team is building tools with AI. That's great. But the silos and operational risks? Not so great.
Why Your AI Project Will Probably Fail (And How to Make Sure It Doesn't)
Most AI projects fail. Not because AI doesn't work - but because businesses approach it the wrong way.
The Quiet Cost of Copy-and-Paste Culture
Your team is spending hours on manual data entry. Here's what it's really costing you.
The Top Five Data Mistakes Recruitment Teams Make
Your CRM has the answers. You're just not asking the right questions.
From Legacy to Leverage: Making Your Data AI-Ready
You don't need perfect data to start using AI. Here's what you actually need.