An AI Firm Walks Into an Equipment Manufacturer to Reduce Administrative Tasks and Automates Expense Reports.

Meanwhile the thing costing that company orders is quote turnaround.

Most AI projects in companies under a hundred people fail for the same reason. Somebody who has never run one of these businesses chose what to automate.

I spent thirty years in engineered equipment. I know where the time actually goes. It goes into a quote sitting on a desk because one number is missing or an approval has not come back yet. It goes into an engineer answering the same question for the fourth time this month. It goes into a drawing nobody can find.

Those are the tasks worth automating.

NAM’s own survey in May 2026 found that about 41% of manufacturers provide no AI training to frontline workers at all, and nearly a quarter said they do not yet know what skills those people will need. That is not a failing. It is what it looks like before somebody decides what the technology is actually for.

The question is not what the technology can do. The question is which of your constraints is worth attacking first, and that is an operating question rather than a software question.

A fast way to find the real constraint is to follow one quote from request to delivery and note every place it waits. The longest wait is often not where the team expects. That wait, not the one a software demonstration shows you, is where automation pays first.

If you are weighing an AI project and want a second opinion on where to start, reach out to us. Email us at info@devconsultantsllc.com or call (201) 540-7762.