Useful to read whether you ever hire us. Vendor decisions, team capability, proof of concept, and the parts of an AI engagement vendors and consultants tend to leave out.
Operator-to-operator writing on the four kinds of AI question we see most often: how to weigh a vendor pitch, what a useful demo looks like, why training doesn’t stick, and how to design a proof of concept that actually answers something.
Proof-of-concept work goes wrong in predictable ways. A working demo that answers no question. Five questions that all get answered badly. A success on the vendor's test data that fails on yours. A practical handbook for designing a tight four-week PoC that lands one clear answer.
Read post →Vendor decisionsMost buy-vs-build frameworks were written for an era when building was expensive and bespoke. AI has changed both sides of the equation, and the question deserves a fresh read. Five questions worth asking before signing a contract or staffing an internal build.
Read post →Team capabilityAI training got commoditised fast. You can put a team through a self-paced course for a few hundred dollars a seat. Sixty days later, most of those teams are working the way they were before. Worth asking why, and what the alternative looks like.
Read post →Vendor demosMost AI demos put in front of leadership teams are designed to be persuasive, not informative. There is a difference, and learning to tell which is which before signing a contract is one of the higher-leverage skills a buying team can develop.
Read post →If a specific AI question keeps coming up in your leadership team and you cannot find an honest read on it anywhere, tell us. We probably know whether we can write something useful, and if we can, we will.
Schedule a free consultation