Case Study · AI Enablement · Manufacturing
$431K back on the P&L. In 90 days.
A 35-year-old commercial print, apparel & fulfillment manufacturer had been told AI was hype. One tight, 90-day engagement returned $431,000 a year to the bottom line (a 99% cost reduction), opened a $1M+ revenue funnel with a $5M expansion path, and handed over a sequenced plan for the rest. Two engines: cost out, revenue in.
The company
Durable, profitable — and skeptical.
The kind of business AI marketing forgets exists: 35+ years old, ~$20M in revenue, profitable, built on relationships and craft long before software ate the world. Commercial print, custom apparel, embroidery, wide-format, fulfillment and 3PL — a full-stack manufacturer serving national brands.
It ran on 14 disconnected software platforms — accounting, HR & payroll, print production, e-commerce, inventory, shipping, payments — none of which talked to each other. The deep operational knowledge to keep them in sync lived in just two people’s heads. And the founder ran the company by the bottom line, with a healthy allergy to long, expensive technology projects that promise the moon.
He’d been told AI was hype. He wasn’t wrong to be skeptical — most of it is. So we didn’t pitch AI. We went and found the money.
What we did
Six moves, one quarter.
Mapped the whole stack
We turned 14 undocumented platforms — the ones living in two people’s heads — into one interactive systems map, ground-truthed with an operator-signed questionnaire. For the first time, leadership could see the whole machine on one screen.
Opened the revenue funnel
The map surfaced money already on the floor: duplicate software and the manual labor to reconcile it, plus dormant revenue assets — a customer list that had never been emailed and an owned audience never wired to a sale. We didn’t just find them — we opened the funnel, turning idle assets into a $1M+ revenue pipeline with a credible $5M path as it matures.
✓ Funnel openedBanked the certain win
An AI-native operating model replaced an outside marketing agency and a full-time role. Prior spend of ~$435K/year dropped to ~$4K/year — a 99% cut — while output improved. Roughly 1,250–2,450 hours of agency-grade work now gets produced in-house, on tempo.
✓ Realized · bankedBuilt the consolidation plan
A sequenced path from 14 platforms down to 6 — single source of inventory truth, a clean receiving process, one payment processor, one label flow — each move ordered by payback, and handed to the client to own on their own timeline.
Stood up the AI agent layer
A live business-metric monitoring system with concrete thresholds across marketing, revenue, inventory and receivables — and a hard governance rule: agents notify, they do not act. Humans stay in the loop. No autonomy without a verifier.
Fit it to the founder
Every artifact led with cash in his language — certainty first, one number he could act on, zero jargon. The best deliverable is the one the decision-maker actually reads. That’s what turned a skeptic into a believer.
What we locked in
The results, past tense.
Why it worked
Found money, not future money
We lead with cost that’s already recoverable and banked — not a slide of projections. Certainty is what moves a skeptic.
Baseline or it didn’t happen
No lift is claimed without a number captured before AI touched anything. If it can’t be measured, we don’t put it on the page.
Human-in-the-loop by default
Agents notify; they do not act. We don’t ship autonomy without a verifier — that’s how AI earns trust in a real operation.
Fit the decision-maker
The best artifact is the one the owner actually reads. We tune every deliverable to how they think — not how we’d present it.
If you were told AI is hype…
…let us show you the number. We run tight, measured engagements that pay for themselves — and we lead with what’s already recoverable in your business.
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