If you’re a manufacturer in Minnesota or the surrounding Midwest and you’ve been looking for AI help that’s actually built for your kind of operation — not enterprise software, not a chatbot demo, not a slide deck — this page is for you.
I’ve been operating businesses in Minnesota for two decades — kitchen-oil recycling, organic farming, and a greenhouse manufacturing company I co-founded with $50. I built AI systems for my own operation before offering the same work to other manufacturers. So when I say I understand your world, I mean I’ve lived it.
Most AI consulting firms serve banks, healthcare systems, and Fortune 500 companies. That’s fine. But it means the advice they give assumes you have a data team, a six-figure budget, and eighteen months to roll something out. You don’t. You have a shop floor, a small team, and real work to get done.
Real talk: most AI firms serving Minnesota manufacturers are actually serving Minnesota banks and healthcare systems. They’ll take a manufacturing client if one walks in, but they don’t know your world. That’s the gap we fill.
AI consulting built for Midwest manufacturers
Operating Automation provides AI consulting for manufacturers in Minnesota and across the Midwest. We help small and mid-size shops — typically $2M–$50M in revenue — implement practical AI systems: quoting automation, knowledge capture, quality tools, and operational dashboards. Everything is built on the technology you already own. Based in Minnesota, driving distance from most of the manufacturers we serve. According to NIST MEP, small and mid-size manufacturers account for 98% of all manufacturing firms in the United States — and those shops are exactly who we work with.
We’re not a software company. We don’t sell licenses or platforms. We look at your operation, figure out where AI actually makes sense, and build it — or tell you honestly that it doesn’t make sense yet. Most of the manufacturers we work with have been pitched AI by someone who’s never set foot on a production floor. That’s not how we work.
Why does local matter for AI consulting?
AI implementation starts on the shop floor, not in a slide deck. Here’s why working with someone in the region makes a difference for manufacturers.
On-site audits that actually look at your operation. The first step in any serious AI engagement is understanding how your shop actually runs — not how your org chart says it runs. That means walking the floor, watching quoting happen in real time, and seeing where the bottlenecks are. I’ve walked shop floors from the Twin Cities to Greater Minnesota. The insights from watching a quoting process in person — seeing the spreadsheet gymnastics, the folder juggling, the “ask Bob because he’s the only one who knows the pricing” — that’s where the real opportunities hide. You can’t see that on a Zoom call. Our Foundation Audit starts with a half-day on-site visit because that’s where the real information lives.
Regional manufacturing context. Job shops, contract manufacturers, seasonal demand patterns, multi-generational family businesses — Midwest manufacturing has its own rhythm. Minnesota is home to over 8,000 manufacturing establishments employing more than 300,000 workers, according to the Minnesota Department of Employment and Economic Development (2025 data). The AI playbook that works for a Bay Area SaaS company doesn’t translate here. We work with shops that look like yours because that’s what we know.
No travel markup. For Midwest clients, travel is included in our flat-rate scopes. No surprise line items for flights and hotels. We’re driving distance from most of the clients we serve, and the ones we’re not, we handle with a hybrid approach — async work plus periodic on-site days.
Relationship-based, not transactional. This isn’t a one-call engagement. Most of our clients work with us quarterly through our Fractional AI Advisor service. We know their operation, their team, and their constraints. That context compounds over time — each engagement builds on the last one instead of starting from scratch.
What services do we offer Minnesota manufacturers?
Four ways to work with us, depending on where you are and what you need.
AI Foundation Audit — Two weeks. We look at your data, your tools, your processes, and where your team’s time is actually going. You get a ranked list of opportunities and a one-page scope for the highest-value next move. This is where most manufacturers start.
Implementation Sprint — Four to eight weeks. One defined problem, one working system. We scope it, build it, and hand it off. The quoting tool we built for a greenhouse manufacturer is a good example — it cut quote turnaround from 45 minutes of post-call work to real-time during the sales call.
Fractional AI Advisor — Ongoing, typically quarterly. For manufacturers who’ve done the foundation work and want a steady hand guiding what comes next. Think of it as having an AI-literate operator on call without adding headcount.
$249 Build Session (as of mid-2026) — Ninety minutes, live. We pick one workflow, build an automation together, and you walk away with something working. It’s the cheapest way to find out whether any of this matters for your operation.
Full pricing details are on our pricing page. No hidden fees, no “contact us for a quote” games.
What industries do we serve in the Midwest?
We’ve worked with manufacturers across several industries. The specific tools change — the foundation-first approach doesn’t.
- Metal fabrication and machine shops — quoting automation, tribal knowledge capture, job costing cleanup. I’ve sat with estimators at job shops who keep twenty years of pricing in their head. When that person retires, the shop’s in trouble. That’s the kind of problem we solve.
- Food and beverage manufacturing — demand forecasting, batch tracking, supplier communication
- Building products and construction materials — I know this space firsthand. I co-founded a greenhouse manufacturer, and the quoting challenges are specific: complex BOMs nested four levels deep, seasonal demand, custom configurations. That’s why we built the quoting system from the inside out — replacing a multi-step spreadsheet process with a single input/output tool.
- Plastics and composites — quality inspection workflows, production scheduling, SOP documentation
- Contract manufacturing and job shops — RFQ response automation, estimating tools, customer communication systems
If your industry isn’t listed, that doesn’t mean we can’t help. The patterns are remarkably similar across manufacturing verticals. The hard part is usually the data and process work — and that looks the same whether you’re making greenhouse frames or plastic injection molds.
What areas do we serve?
Based in Minnesota, we serve manufacturers across the Midwest — the Twin Cities metro, Greater Minnesota, western Wisconsin, northern Iowa, and the Dakotas. Most engagements run async with periodic on-site days for audits and critical builds.
For clients outside driving distance, we handle everything remotely. The Foundation Audit has a full async equivalent for remote teams. Implementation Sprints run on shared screens and structured check-ins. It works — but when we can be on-site, the work goes faster and the results are better. That’s just honest.
What are Minnesota manufacturers asking about AI?
Is AI realistic for a 25-person manufacturer in Greater Minnesota?
Yes — and that’s the size of shop I know best. Most of the tools we build run on platforms I use daily in our own operation — Google Workspace, Zapier, off-the-shelf databases. You don’t need a data center. You don’t need a data scientist. You need one clear problem and some historical data, even if it’s messy. A 25-person shop with three years of quoting history in spreadsheets has more to work with than most people realize. Read our practical guide to implementing AI in manufacturing for the full picture.
Do you work with manufacturers outside the Twin Cities?
Yes. Greater Minnesota, western Wisconsin, northern Iowa, the Dakotas — all within scope. Travel is included in flat-rate engagements for Midwest clients. For shops further out, we run everything remotely with on-site visits for audits and critical build phases. The distance hasn’t been a limiting factor for any engagement we’ve run.
What does a first engagement typically look like?
Usually one of two things. A $249 Build Session if you want to test the waters — ninety minutes, one workflow, something working by the end. Or a Foundation Audit if you want a structured assessment first — two weeks, one honest report, a clear recommendation on what to do next and what it’ll cost. Either way, the commitment is small and the outcome is concrete.
Are you competing with the big Minneapolis tech firms?
No. They build enterprise software for large organizations. We build practical systems for owner-operated shops. Different audience, different price point, different approach. If you need a custom ERP or a 200-person implementation team, they’re the right call. If you need someone who understands your operation and can build a quoting tool or a knowledge base that actually gets used — that’s us. More on how we think about this on our about page.
Ready to talk? Book a call with me — no pitch, no pressure. Just an honest conversation about your operation and whether AI makes sense for where you are right now. If it doesn’t, I’ll tell you that.