AI implementation · for retail & commerce

Your first AI agents,
in production.

Stuck in a pilot, sitting on AI tools nobody uses, or haven't started yet? I build the kind that survive production — your first AI agents live in your operation in 30 days. Built to last, not to demo. Guaranteed.

30 daysto your first agents in production
Guaranteedlive by day 30, or you don't pay the final 40%
$12BVP of AI at Ashley Furniture — N. America's largest furniture retailer
catalog-lookup.agentSAMPLE
› lead time on SKU-4471?
14 days — confirmed against the open PO and this week's inventory feed. 2 sources
~40hrs
saved/week · illustrative
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 30-Day Production Sprint.

Whether your pilot stalled, your tools sit unused, or you haven't started — 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 I add the next, and the next — until your team runs a handful in production, not slideware.

Start → Production · 30 days

Agents that survive a Tuesday in production.

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 in your tools and used by your team by day 30, against a success metric we set in week one — or you don't pay the final 40%.
Start a Sprint
What you get — 3–5 production agents
01Product & catalog lookup — specs, SKUs, availability, lead times
02Order & quote hygiene — catch wrong configs before they ship
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
A modern retail floor
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 production 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.

After the Sprint

Lead with AI. Go deeper on planning.

Why Takumi Labs

An operator who ships AI into production — not a slide deck.

I'm Jason Osajima, founder of Takumi Labs (LinkedIn ↗). I was VP of AI at Ashley Furniture — North America's largest furniture retailer ($12B, 800+ stores) — where I built their first agentic commerce platform and the AI roadmap behind it. Before that: Director of AI/ML at Southern Glazer's ($4B+ in sales), and ML engineering at HBO Max and Disney.

These shipped and moved real numbers — a next-best-action sales agent that lifted objective completion +48%, recommendation systems worth +4.9% watch rate on HBO Max. I've watched plenty of "AI initiatives" die in the demo too. Takumi Labs is the craft of building the kind that survive — for consumer & retail companies too busy for a science project and too lean for a Big-4 retainer.

Book a 15-min call
Jason Osajima, founder of Takumi Labs
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.