AI adoption for manufacturing & operations
Your AI problem isn’t the AI.
It’s the rollout. Small manufacturers don’t stall on the model — they stall on the systems, processes, and people nobody connected to it. That’s the bridge I build.
20+ years floor → director · hands-on AI build · change that sticks
The pattern
You bought the tool. Nobody’s using it.
01 — Bought first
A platform looking for a purpose
It arrived before the problem was defined. Twelve months later it’s a license nobody opens and a line item nobody defends.
02 — Never adopted
It worked in the demo
The pilot looked great on a slide. On the floor, the people it was built for were never in the room — so it never became how the work gets done.
03 — Above the floor
Tech that doesn’t survive the plant
An outside firm shipped a model that doesn’t hold up against how your plant actually runs, on a shift they never worked.
None of these are AI problems. They’re adoption problems — and that’s a different job than building a model.
What I connect
Systems, processes, and people — wired to AI, not bolted beside it.
The engagement
One partner, floor to done.
Assess
Two weeks in your data and on your floor. We find the one problem AI should solve first — and whether you’re ready to adopt it.
Pilot
We build the real thing on a real problem, with the people who’ll use it in the room. Small, measurable, actually adopted — not a demo.
Scale
We turn one working pilot into a habit: the standard work, the training, and the change discipline that makes it stick after I leave.
The rare stack
Most AI consultants have never run a shift.
floor to director
systems · process · people · AI
adoption, and counting
I’ve run the floor, sat in the director’s chair, and built the AI myself. I speak operations, not vendor. For a small manufacturer that means one partner who owns the whole rollout — the technology and the human side — without a big-firm invoice or a hand-off in the middle.
Field notes
I’ve been writing this down for years.
AI rollouts don’t fail on the model. They fail on the people. I handle both.
Notes from the floor.
Field-tested thinking on getting AI adopted in operations — the systems, the processes, and the people.
Browse the field notes →New notes regularly