Writing on Claude, workflow re-engineering and how a business puts its own data to work.
27 July 2026
Usage numbers tell you how much AI is being used but they do not tell you if anyone is using it well and improving. The Compliance API gives you the final outputs but not the working, so a complete fluency assessment takes three lenses: the outcome against the AI’s last draft, the session trace, and the person’s own account of what they did with it.
Read the piece →26 July 2026
The most impressive AI projects deliver the least, because they start with the clever thing and go looking for somewhere to put it. Map how the team actually works first, build only where an agent genuinely helps, and treat going live as the start of the loop.
Read the piece →25 July 2026
These things happened to real companies. In nearly every case the AI did what it was asked, and the harm came from an ordinary control nobody had put in place. Seven real cases, and how to stop the same thing happening to your business.
Read the piece →23 July 2026
IDC describes AI agents arriving in three waves, from a tool one person uses to AI woven through how the business runs. Most customer experience teams are renting the layer they run on. Whether to keep renting a third party’s stack that holds your data, or own the data and run the model directly on it, is the choice this piece is about.
Read the piece →