• 16 September 2026

  How enterprise AI procurement is changing

  Buyers are moving from evaluating advertised AI capability to validating production results on their own data. The shift is a rational response to the gap between AI spending and results, and it favors providers that can show a running result over a demonstration.
• 14 August 2026

  Build, buy, or hire an AI capability: the decision an operator actually faces

  Before you evaluate any AI vendor, you face a prior decision: build the capability in-house, buy a working result, or hire for it. The choice turns on three quantities you can estimate.
• 26 June 2026

  How to baseline a process well enough to stand behind a result

  An outcome-aligned engagement is only as honest as its baseline, and most baselines are self-reported and wrong. Here is the measurement machinery that makes a before-and-after comparison defensible.
• 22 June 2026

  When not to automate, and what an honest engagement does when the savings don't show up

  A clear-eyed account of the workflows that make bad automation candidates, why first principles predict it, and what a vendor actually does when the projected hours never appear.
• 2 June 2026

  How to tell an AI delivery vendor that ships from one that demos

  A buyer's procedure for separating vendors that put working software on your data from vendors that sell decks, built on the base rate that most organizations have not yet scaled AI beyond pilots.