AI implementation · for manufacturers

AI out of pilot,
into production.

Most AI agents get shipped like scripts — and Gartner says 40% get decommissioned by 2027. We build the kind that survive production: your first agents live in your operation in 30 days. Guaranteed.

30 daysto your first agents in production
~95%of enterprise AI never reaches the P&L
$250Mmanufacturer — where the operator shipped it
supplier-docs.agent● LIVE
› lead time on SKU-4471?
14 days — confirmed against PO #88231 and the September supplier cert. 2 sources
41.2hrs
saved this week
40%
of AI agents will be decommissioned by 2027 — governance gaps found in production (Gartner).
~95%
of enterprise GenAI pilots deliver no measurable P&L impact — adoption, not the model (MIT).
9 / 10
"AI initiatives" the operator watched die in pilot — before learning what makes the tenth ship.
The one offer

The Pilot-to-Production Sprint.

Your AI pilot is still a pilot. In 30 days I put your first agents live in your operation — embedded in the tools your team already uses, governed like workers, measured against one number. Then we keep building toward the agentic capability your whole team runs on.

Pilot → Production · 30 days

Agents that survive a Tuesday on the floor.

Not a chatbot on the side of someone's desk. Production agents — with evals on real cases, a human in the loop where mistakes cost, one owner, and a number on the board.

The guarantee: live and in use by day 30, with documented hours saved — or you don't pay the final 40%.
Start a Sprint
What you get — 3–5 production agents
01Supplier-doc lookup — specs, POs, certs, lead times in seconds
02Order & quote hygiene — catch wrong configs before they hit the floor
03Ops-report prep — the weekly review drafted, exceptions flagged
04Order-status & service triage — off the CSR's plate, human-in-loop
05Demand & inventory Q&A — what's at risk of stockout, answered
Built to run

Where the work actually happens.

How the 5% ship

The craft that keeps an agent in production.

The model was never the hard part. These five things are the difference between an agent that survives the floor and one that gets quietly switched off.

01 / EMBED

In the workflow

The agent lives where the work already happens — inside the tool your team uses, not a separate app nobody opens.

02 / EVALS

Tested on real cases

Measured accuracy on your actual historical data before it ever touches a user. No toy prompts.

03 / TRUST

Human-in-the-loop

A person approves anything where a mistake is expensive. Governed like a worker, not provisioned like a script.

04 / OWNED

One metric, one owner

An hours-saved or error-rate number, and a champion who defends it at budget time. Not a science project.

05 / WIDEN

Ship narrow, then grow

One working agent beats a grand platform. Land it, prove it, then build the next — the engine compounds.

THE POINT

Survives production

That's the whole game. The agents that last are built — not demoed. That's the craft Takumi Labs sells.

Two practices

Lead with AI. Go deeper on planning.

Why Takumi Labs

An operator who's been on the floor — not a slide deck.

As VP of AI at a $250M furniture manufacturer, I shipped AI into real operations and ran the planning that kept the business stocked. I watched most "AI initiatives" die in the demo — and learned what it takes to make one survive a Tuesday on the floor.

Takumi Labs is that craft, for manufacturers your size: too busy for a science project, too lean for a Big-4 retainer.

Book a 15-min call
precision
Start here

Send me one workflow your team wishes ran itself.

A 15-minute call. I'll tell you the one agent worth building first, what it'd save, and whether it's worth doing at all. No pitch.