Industry-leading insights

There is a moment that shows up in almost every team running an AI specialist for more than a couple of quarters. Someone goes to correct something, and realizes they have corrected it before. The exception that was explained in March gets explained again in June. The context somebody wrote out care ...

Ask a leadership team what they should do about AI right now and the question usually comes back the same way. Which one should we buy? That question comes from procurement, and procurement is the wrong verb for what actually has to happen next. You are not buying AI. You are standing up a workforce ...

Decision boundaries sound like paperwork. They aren't. They are the operational architecture of a specialist working inside a team. Get them wrong and the specialist either sits idle waiting for permission, or acts in places it should not have, and everyone downstream cleans up. The work of designin ...

The day a specialist goes live inside a team is a milestone. It is not a finish line. A specialist looks great in the first week. The role is defined, the scope is clean, the specialist is doing the slice of work it was designed for. The team around it feels the lift. That part is the easy part. The ...

Somewhere in your organization right now, an AI system is waiting for someone to open a window and talk to it. That detail sounds trivial. It is actually the design assumption holding the current generation of AI in place, and it has started to come loose. There is a name for what comes after: headl ...

Helping is one shape AI can take inside a company. Participating is another. The first shape is what almost every AI deployment looks like today. A person at the center of the work, AI one step removed, helping the person move faster. The work moves through the same chain at a higher rate, and a hum ...