Thought leadership
What we think, and why.
Five pieces on applied AI, written from inside operations that run on it rather than from the outside looking in. Each one is a position this practice actually takes, which means you can hold us to it.
- 01Where to startThe dull work is the workEvery AI pilot I have watched stall began with the most interesting problem in the business. The ones that stick begin with the job nobody wants on a Friday afternoon.
- 02How to build itDrafts, and waitsThe useful shape for an assistant inside a working business is not an agent that acts on your behalf. It is something that prepares the work and then stops.
- 03What has to be true firstNobody questions data they do not trustBefore a business can usefully ask AI anything, somebody has to be able to disagree with the answer and find out who was right.
- 04Buying the workWhat four weeks should leave behindIf week three of a discovery engagement has nothing running, the roadmap you get at the end of it is fiction.
- 05Risk and POPIAThe AI tool nobody approvedStaff are already pasting company data into chatbots. Under POPIA the live question is not whether it is happening, but whether you could show what happened to it.
Disagree with any of it?
That is a more useful first conversation than a capability overview. Thirty minutes.