For manufacturing and logistics companies, 50–500 employees
Most AI pilots fail. Yours doesn't have to.
95% of corporate AI pilots produce nothing a CFO can measure. The ones that reach production almost always have one thing in common: a specialized outside partner. SIGNAL is our six-stage method for getting AI out of the demo and onto your floor — measured against a baseline, priced on a published rate card, and handed over to your own team.
Fixed prices. Two clients at a time, maximum. Your infrastructure stays on your accounts.
You've seen how this usually goes.
Someone pitches an AI project. A demo gets built. It looks impressive in the meeting — and then it never touches the ERP nobody trusts, the dispatch board, or the maintenance log. Eighteen months later there's an invoice, no baseline to compare against, and a quiet decision to "revisit AI next year."
That pattern has a price. The average failed mid-market AI attempt costs $500,000 to $2 million. In 2025, 42% of companies abandoned most of their AI initiatives — up from 17% the year before. The failure isn't the technology. It's everything around it: the data nobody cleaned, the legacy system built for humans instead of automation, the workflow nobody redesigned, and the baseline nobody measured.
The research is blunt: companies that deploy AI with a specialized external partner reach production at roughly twice the rate of companies that build alone.
MIT NANDA, State of AI in Business 2025
The method
SIGNAL: six stages from diagnosis to protected production.
Every stage forces a decision before code is allowed to begin — and every stage produces a document you can hold us to.
| Stage | What happens | What you get |
|---|---|---|
| 1. Scan | A paid, 1:1 diagnostic session with the founders. We talk about your operation, not about technology: where time is lost, where errors cost money, where your best people are doing work beneath them. | Product Clarity Brief (one page) |
| 2. Identify | We go into your real workflows — the plant floor, the dispatch desk, the back office — and map where intelligence creates leverage. | Ranked opportunity map |
| 3. Ground | Before a line of code, we quantify a baseline for the process about to be improved: time, cost, error rate. Then we complete a twelve-point AI Toolchain Protocol — model selection, consumption ceilings, data boundaries, review rules. | AI Impact Baseline + signed Impact Blueprint |
| 4. Navigate | We build in two-week cycles. Every cycle produces a Decision Brief — a one-page record in plain business language — and a three-minute recorded demo ready to forward to your board. | Working system + biweekly Decision Briefs |
| 5. Activate | We transfer the capability, not just the software. Your team is trained on the system, and this stage isn't complete until they've operated it autonomously for two consecutive weeks. | Capability-transfer sign-off |
| 6. Lock | A monthly eight-point health check against model drift, plus a quarterly recommendation on what to expand next, grounded in your measured results. | Monthly health report + quarterly expansion plan |
The method sells diagnosis before construction. That single inversion of the industry's default is what the 95% failure pattern has been missing.
See the full method →Wherever you are, there's a right way in.
"We haven't tried AI yet."
You know the operational pain — the downtime, the empty miles, the paperwork that eats your best people. You're just not sure AI is the answer.
Start with a Scan.
$2,000, one session, Brief delivered in the room.
Book a Scan Session"We tried, and it didn't ship."
You hired an agency that didn't deliver, or your team built a prototype that can't survive production. You're not alone — this is the fastest-growing profile we see.
Start with the Vibe-to-Production Protocol.
$4,500, two weeks: a three-level map of what gets rebuilt, adapted, or kept.
Map my prototype"We have AI running — and it's degrading."
Results are sliding, prompts are drifting, and nobody's watching. AI systems don't fail loudly; they decay quietly.
Start with a system health evaluation and go straight to Lock.
$4,500/month.
Get a health evaluationStructural commitments, not slogans.
1
Two clients at a time. Contractually.
The people who diagnose your business are the people who write the code. We cap active build engagements at two — in the contract — so there is no handoff to a junior bench after the signature.
2
Your infrastructure, your accounts.
Production infrastructure is billed directly to your own accounts. We have zero incentive to run expensive models, and you have full transparency on operating cost from day one.
We don't sell to everyone who calls.
Every engagement passes four gates:
- 1
Your company has 50–500 employees.
- 2
The person at the table is an owner, CEO, COO, or operations director with budget authority.
- 3
There's a concrete operational problem with an estimated cost — not curiosity about AI.
- 4
You're ready to invest in solving it, not explore it.
If that's you, the first conversation is free and takes fifteen minutes.
We work first with manufacturing (predictive maintenance, ERP/floor integration, unstructured-data extraction) and logistics (routing, carrier-portal automation, dispatch productivity) — the two sectors where the labor math is most unforgiving. The method itself is sector-agnostic.
Talk to Natalia — free 15 minThe method was earned before it was named.
Every stage of SIGNAL encodes a lesson from a real project with real money at stake.
Ground existsbecause we watched an AI toolchain burn a month's budget in under a week on a project we were hired to rescue — a government platform another team had already failed, with 121 use cases due in 62 business days. We delivered on the committed date, and the twelve-point toolchain protocol we built under that pressure is now standard on every engagement.
Navigate's Decision Briefs exist because our co-founder spent two years managing a Japanese corporation's $300,000 investment — and stopped it from being spent in the wrong direction before a dollar moved. What unlocked that investment wasn't faster execution. It was evidence delivered to decision-makers in the right format, at the right cadence, in the right language.
Agencies deliver code. Consultants deliver decks. Freelancers deliver hours. Nobody takes responsibility for the gap where projects actually die: the space between what's being built and what the person signing the checks can see, understand, and approve. That gap is what OgmaDev was built to close.
Pricing
Published prices. Fixed scope at entry.
| Scan | $2,000, fixed |
| Level 1: Identify + Ground | $15,000, fixed, two weeks |
| Navigate | $18,000–$40,000/month |
| Lock | $4,500/month, six-month minimum |
| Vibe-to-Production Protocol | $4,500, two weeks |
A failed do-it-yourself AI attempt averages $500K–$2M. A $15,000 diagnostic that decides whether and what to build isn't a service fee — it's insurance priced near one percent of the loss it screens out.
See full pricing →Questions we get asked first.
We're not a tech company. Is this for us?
It's built for you. Our clients run plants, fleets, and warehouses — not software teams. Every deliverable is written in plain business language, and the first stages of the method are about your operation, not about technology.
What if the diagnosis says AI won't pay for us?
Then that's what the Brief will say, and you'll have spent $2,000 to avoid spending $500,000. The method's first job is deciding whether to build — not selling a build.
What happens when you leave?
You keep everything: a team trained to run the system autonomously (verified over two weeks before we sign off), a living knowledge vault any future developer can use, and — if you want it — the Lock layer watching for drift. We build for your ownership, not our dependency.
Before you spend another dollar on AI, spend two thousand finding out where it actually pays.
One session. One page. A clear answer on whether there's a problem worth solving — and what it would cost to solve it.