The Work

Where the hours go in a manufacturing business.

The floor is measured relentlessly; the front office mostly is not. Orders arrive as emailed PDFs and get rekeyed into the ERP. Quotes wait on an estimator's memory of similar jobs. The production meeting runs on a spreadsheet somebody built before dawn, and half of everyone's day goes to answering where things stand.

All of it is repeatable work with a stable shape, which makes it exactly what digital labor absorbs first: systems that read, enter, draft, and report across the software you already run, and escalate only the exceptions.

The Map

Six solution areas, mapped to manufacturing.

An AI assessment clusters the repeatable work in any operation into six areas. In manufacturing, three of them carry most of the payroll weight.

Workflow & Automation. Order entry is the classic: purchase orders arrive by email, get printed, and get rekeyed. Digital labor reads the PO, enters the order, drafts the acknowledgment, and flags mismatches against your price list and lead times, so people touch exceptions instead of every order.

Customer Support & Sales. Quote speed wins work. Digital labor pulls similar past jobs, drafts the quote in your format with the estimator's judgment inputs flagged, and answers routine order-status requests with live context, the same day they arrive.

Data Analysis & Reporting. Production, quality, scrap, and on-time numbers live in systems that do not talk to each other. Digital labor assembles the daily and weekly reports overnight, reconciles the disagreements, and lets the morning meeting start at the exceptions.

The other three usually pay right behind them:

Before and After

What digital labor looks like on a manufacturing front office.

Two processes, before and after. These are process examples, not client stories.

Order entry, before: emailed purchase orders queue for rekeying, transposition errors hide until shipping, and acknowledgments go out late. After: each PO is read and entered on arrival, the acknowledgment is drafted, and anything that disagrees with your price list or lead times waits in an exception queue for a person.

Quoting, before: an RFQ waits days while an estimator digs through folders for the last similar job. After: the similar jobs are already pulled, a draft quote is assembled in your format, and the estimator spends the time on material, capacity, and margin judgment, then sends it the same day.

Inside the ACE program, these systems are built in accounts you own, across the ERP and the inbox you already run, and your team is trained to operate them without us.

FAQ

AI in manufacturing, asked and answered.

Can AI enter purchase orders from emails and PDFs?

Yes. Digital labor reads incoming purchase orders, enters them into the ERP you already run, drafts the acknowledgment, and flags anything that disagrees with your price list or lead times. People review the exceptions instead of rekeying every order.

Can AI speed up RFQ and quote turnaround?

Yes. It retrieves similar past jobs, assembles a draft quote in your format, and flags the judgment inputs of material, capacity, and margin for the estimator. Quotes go out the same day instead of after days of digging.

Can AI build production reports automatically?

Yes. Digital labor pulls from the systems that do not talk to each other, reconciles the disagreements, and has the daily and weekly reports built before the morning meeting. Managers start at the exceptions instead of the assembly.

Does digital labor require replacing our ERP?

No. It works across the systems you already run, reading from and writing to them the way a person at a keyboard would, inside accounts you own. Nothing gets ripped out, and your team is trained to run the systems themselves.