AI Integration & Automation in Holland, MI

Holland's manufacturers lose real hours to the front of the sales process. An RFQ arrives as a PDF, a spreadsheet, or an email with a drawing attached, and somebody has to read it, find the specifications, check them against what the shop can actually do, and assemble a quote. Unyx builds AI integration for Holland manufacturers aimed squarely at that sequence — faster quotes, without inventing any of the numbers.

Where AI Actually Pays Off

Quote turnaround is often the difference between winning and losing work, and most of the delay is not decision-making — it is reading and transcription. Automating the intake means an incoming RFQ is parsed into structured fields, matched against your part history, and turned into a draft quote before a human looks at it. The estimator's job shifts from data entry to judgment, which is what you were paying for in the first place, and quotes go out the same day instead of at the end of the week.

The non-negotiable is that pricing and tolerances come from your data, not from a model. The reliable pattern is to let the language model do what it is genuinely good at — reading messy documents and identifying which numbers are which — and then let your rules and your price book compute the actual figures. Anything the system is unsure about gets flagged rather than filled in. That boundary is what makes it safe to put in front of a customer, and it is the single most common thing done wrong in manufacturing AI projects.

If quoting is your bottleneck, that's the place to start. Let's look at what your RFQ intake actually costs you.