Making Work Flow
Thirty years of delivering software says the same thing every time: the technology is rarely the hard part. Work stalls in the gaps — in review, in handoffs, in decisions nobody owns. AI moves where the stall sits. It doesn't remove it.
I work on that in two ways. They're for different people, so pick the one that sounds like you.
For delivery leaders
Your developers got faster and your delivery didn't. The queue moved somewhere else, the measures stopped meaning anything, and somebody above you wants to see what the tools bought.
A free Health Check, articles three times a week, videos, and a course being built in the open. For anyone accountable for more than one team, anywhere in the world.
For UK small businesses
You've tried ChatGPT; your business hasn't. One person using AI well makes one person faster. Changing how an enquiry becomes a quote is a different job.
Three workflows examined end to end, costed on your own figures, with a written report in ten days. £2,500 + VAT, refunded in full if the numbers don't hold. For businesses of roughly 15 to 100 people.
Latest articles
News, with a take · Impact
Amazon's engineering memo admits its AI usage metrics are deeply flawed, yet still uses them. How to report AI productivity without usage becoming the target.
· 4 min read
From the videos · Impact
Developers feel faster with AI. In one careful study, the clock disagreed. How to check AI developer productivity in your own teams, with three simple measures.
· 5 min read
News, with a take · Trust
GitHub says over 40% of pull requests now start with an agent's first draft. What that means for code review, and three questions every reviewer should ask.
· 3 min read
Who's behind it
Thirty years in software and twenty leading teams, in large public- and private-sector organisations. Four years leading AI-enabled teams, and the past year on a team working AI-first. Adapt Labs is where I share what actually works.
Read the full background