AI for manufacturers, set up by a manufacturer.

Most manufacturers already have decent systems for production, purchasing, accounting and quality. The expensive problems are not inside any one of them. They are in the handoffs between them, and in the manual work nobody ever had time to build a system for.

A vendor order that never came back acknowledged, and nobody notices until the part is short. Order entry re-keyed out of an email. The same report pulled by hand every Monday. Thirty years of know how that walks out the door when someone retires.

Things that already run every day

These are not concepts or slides. They run daily inside a manufacturing operation I am in every day, against a real ERP, real vendors and real orders. Most of them read and write to JobBOSS and QuickBooks Online, with the files landing in the document system the office already uses.

• Vendor order acknowledgments A monitor that reads every vendor acknowledgment and checks it line by line Price, quantity, date and part number against what was ordered. It files the PDF and sends one daily list of only the breaks: the wrong price, the order the vendor never entered, the acknowledgment that never came back. It was built to catch vendor mistakes. It flagged more internal mistakes than anyone expected. There is no AI in that one, and that was the right call.
• Order intake and filing Work that happens with nobody doing it Incoming customer orders checked against the quote and the part history before anyone opens them, the order drafted in the ERP, and only the mismatches raised for a person. On the other end, quote requests that file themselves: the folder built, the request and the drawings and the quote that went back all landing in it, without anyone touching a mouse.
• Where you stand, every morning The email that means nobody runs a report A cash forecast, the backlog and sales for the month so far, pulled straight out of the production system and the accounting system and sitting in your inbox at the same time every day. Once a month, the same treatment for on time delivery, quality, scrap and quoting. Nobody exports anything, and nobody waits for the month to close to find out how it went.
• Quoting Requests for quote that come in as email and PDFs, read and priced The request gets broken into line items, priced against your own routings and costs, and every line gets checked for a cost on it before anything goes out the door.
• Documents nobody wants to retype AI that reads the paperwork and fills in the form Dimensions, tolerances and notes pulled off a print and turned into the inspection paperwork. The same reading works on a spec sheet, a supplier certificate, or a customer order that arrives as a PDF nobody can import.

• What lives in two people's heads Scan a job and get everything about it The drawings, the setup sheets, the tool list, and the notes from whoever ran it last, including what went wrong and how to run it better. Captured as people work instead of in an interview nobody has time for.

Machining and fabrication, plastics and molding, food and beverage, packaging, furniture, electronics, medical device, and the distributors who supply them. The paperwork running between the systems looks about the same in all of them.

What this is

AI that knows your operation. Set up around how your business actually runs and loaded with your own procedures and know how, so it is genuinely useful instead of a generic chatbot that starts from scratch every morning. It gets set up inside the accounts your company already pays for, so what you load into it stays yours, and none of it is used to train anybody's model.

Workflows that run without anyone driving them. This is where the time comes back. Every operation has office work that repeats forever and that nobody ever designed a system for: order entry re-keyed from an email, folders built by hand, files renamed and filed, vendor acknowledgments chased down, the same report pulled every Monday. Software can do those steps and come back to a person only when something needs a judgment call.

Your numbers, without anybody building the report. Your systems already hold the answer. Getting it out usually means somebody exporting from three places on a Friday afternoon. This puts it in front of you on a schedule instead, and says something when a number moves the wrong way.

Small builds where the work has to come out exact. When a number has to be right every single time, or a record has to land in the ERP clean, that gets built properly with real engineering around it rather than trusted to a chatbot on its own.

Which level fits is the whole question, and it gets answered before anyone spends money on a build. Some operations need a light setup and nothing built at all.

How it works

• Step 1A conversation, free, about how your operation actually runs. Bring the part of your week that eats the most time.
• Step 2A paid diagnostic. You write down how the work really happens, and I weigh what each fix is worth, including the fixes worth nothing. You get a written scope with pricing.
• Step 3Build only what pays for itself. Quoted before it starts, with no hourly meter running. I host it and run it, and there is an ongoing plan by agreement to keep it watched and improving.

Everything gets built out of the same small set of standard parts and documented as it goes, on purpose, so it is not a pile that only one person can read. It runs on infrastructure I watch, which is what the ongoing plan pays for. When something breaks at six in the morning, it gets flagged before you notice it.

I work with a deliberate number of manufacturers at a time, so the answer on timing is honest rather than whatever closes the sale.

Controlled work is not a problem. If you do defense, ITAR, CUI or CMMC work, this runs inside the compliance boundary you already operate in. That changes how it gets set up, not whether it can be done.

When I am not the right answer

Talk it through