Most AI consulting ends at a deck. Bill Colbert designs the AI-native operating model for B2B companies at $5M to $50M, then builds it alongside your team so the capability stays in-house.
The reason "AI consultant" has become a slur in board rooms is that most of the category ends at a two-hundred-slide readout that names the seventeen use cases with the highest theoretical ROI, then walks away. My working definition is different: an AI consultant's job is to leave your company with a working system in production and a team who can extend it without me. That means the audit output is code, prompts, and rewired workflows (not a PowerPoint), and the engagement ends when your team is running it themselves. If a firm is quoting you a six-figure retainer "until AI is fully deployed," they're selling a tool-sprawl outcome. The right shape is a ninety-day intensive with a fixed price and a defined handoff.
Three moves, in order. No pilot purgatory, no tool sprawl, no dependency on an outside firm to keep the lights on.
We start with your revenue motion and operations, not a tool list. You leave with a ranked backlog of AI use cases tied to dollars and hours.
We stand up the top use cases end to end, wired into the tools you already run, so your team sees it work in weeks, not quarters.
You get the playbook, the prompts, and the internal ownership to run and extend it. The goal is your capability, not our retainer.
Local AI consulting across the US. Same operator, same hands-on approach, wherever your team sits.
A short working session to pressure-test where AI moves the number for your business. No obligation, no slideware.
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