Trusted across industries, from public companies to bootstrapped founders, since 2021
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Adolph Menzel · The Iron Rolling Mill · 1875
AI in Manufacturing
Ask most people about AI in manufacturing and they picture the floor. Robots, cameras, a lights-out plant. That is OT, and the work is real. But it is rarely where the time and money go. The cost is upstairs, on the IT side, in the quoting, the planning, and the decisions that still run on one senior person and a spreadsheet.
That is the work AI is getting good at. Reading a spec, pricing a job from history, planning around the capacity you actually have, answering questions that used to need thirty years on the floor. None of it happens on the floor, but every part that comes off it is downstream of those calls. The manufacturers pulling ahead are building AI into those steps, so the operation stops depending on who is in the room.
Solutions
These came out of our engagements with manufacturers. Nothing here is software you log into. Each one gets rebuilt on your own parts, routings and job history.
Every RFQ that lands takes your best estimator out for two days.
It reads the whole package, pulls out every part, and prices each one against jobs you have already run, at your work centers and your cycle times. The estimator checks the number instead of building it.
Quotes go out in hours.
Roughly 60% of rejections happen because four documents quietly stopped agreeing.
It balloons the drawing, drafts the PFMEA and the control plan off your own defect history, then runs the customer’s trace before the customer gets to. Your engineer approves every step.
Submission ready in a day.
One package goes out to six suppliers and six different shapes come back.
It reads whatever they send, lines it up item by item, flags the best price on every line, and calls out the lines only one supplier bothered to quote. Nobody rebuilds it by hand and hopes nothing slipped.
One comparison sheet you can trust.
Every promise date is a guess until one person is back at their desk.
Give it the open orders and the capacity you actually have. It lays out the week, shows you where two jobs collide on the same machine, and tells you whether Thursday holds.
You can promise a date on the call.
Your installed base keeps calling in with questions your manuals already answer.
It reads the manuals and ten years of closed tickets, then answers the technician straight, with the section and the old ticket it pulled from sitting right next to the answer. Anything it has not seen before goes to a person.
The basics stop reaching your team.
You know something is slowing the whole operation down. You do not know which step.
We map how work moves through your operation and find the step everything else is waiting on. Then we build the fix, pulling from what is already above and writing what does not exist yet. Your team learns to run it and extend it, so the capability stays in the building after we go.
Built out of the five above.
If one of these sounds like your operation, or your problem is not on this list, book a call and we will tell you straight.
Book a CallInsights
We write up what we find inside manufacturing operations. Each briefing takes one process apart, shows where the time and the money actually go, and sets out what changes when AI is built into that step. Free to read, and written for the people who run it.
Estimating and quoting
Why quoting still runs on spreadsheets and email
How an estimate actually gets built inside a discrete manufacturer, why quoting software built on CAD geometry misses most of the work, and what changes when every line is priced from jobs you have already run.
Quality and launch
Why quality approval still runs on filing cabinets
Why submissions get rejected on consistency rather than content, what the interconnected elements of a package have to agree on, and how the whole submission can be drafted, traced and checked before the customer ever opens it.
