- 21 September 2026
Why a frontier-model company is not the natural home for this work
The large AI labs are building forward-deployed services arms in 2026, and the structure of those arms is the answer to whether they should do this work themselves. - 11 September 2026
How a forward-deployed engineering organization is actually built and staffed
The hard part of delivering working AI on a client's systems is staffing a role that combines production engineering, client elicitation, and judgment about exceptions, and that combination is what limits the model's scale. - 28 June 2026
A map of who else sits in the third layer
The forward-deployed services model has gone from a Palantir curiosity to a contested category with labs, vertical startups, and services firms all in it. Here is who's in it, and where an independent mid-market implementer sits. - 31 May 2026
Why services-as-software firms scale where AI consulting cannot
A services firm that ships software, prices against outcomes, and reuses agents across customers is not the same business as a consulting firm with AI bolted on. The unit economics diverge from inception. - 29 May 2026
What an aligned AI engagement actually looks like
An engineer in the customer's environment from day one. Discovery in days. Redesign before automation. Pricing against measured savings. This is what an aligned AI engagement looks like end to end. - 27 May 2026
There's a third layer of consulting that nobody has named yet
The consulting market has had two layers for fifty years. A third has been forming as AI spreads: teams that wire AI into live systems, govern them in production, and stay accountable six months after the platform vendor moves on.