Resources
Operator notes—not AI news spam
Finite, practical writing for people who own a P&L metric and a messy queue.
Library
AI readiness checklist for mid-market operators
A short checklist before you fund a quarter of AI work—metric, owner, data slice, controls, and kill criteria.
Kill criteria in an AI SOW
What belongs in the statement of work so “good” and “stop” are explicit before build starts.
Licenses aren’t leverage
Why Copilot and RPA seat dumps stall—and what workflow-first delivery does instead.
When not to use an LLM
Candid non-use cases near safety, clinical, OT, and problems that need a rule—not a model.
Start with one metric—not a 90-slide roadmap
Tell us where cost, throughput, or labor is stuck. We’ll tell you if a 2–4 week assessment is the right next step—or if it isn’t.