Where AI fits in a manufacturing workflow

Start with the workflow, not the model

The useful question isn't which AI to buy; it is which steps in your current workflow are repetitive, text-heavy and low-risk. Those are where AI saves time first.

Good first candidates

• Enquiries and quotes. Read an enquiry email and drawing list, pull out quantities, materials and deadlines, and draft the quote for a person to check.
• Reports. Turn a shift's production and downtime data into a readable summary.
• Documents. Check SOPs, work instructions and inspection records for missing fields or out-of-date revisions.
• Data entry. Move data between the ERP, spreadsheets and email without retyping.
• Search. Answer questions from your own manuals, drawings index and past NCRs.

Keep a human where it matters

Anything that commits money, changes a released drawing, or goes to a customer should be drafted by the automation and approved by a person. AI is fast and fluent, and it can be confidently wrong.

Connect it safely

• Give each automation access only to the data it needs.
• Keep a log of what it read and what it did.
• Prefer connecting AI to your existing systems through defined tools and APIs over copying data into a new platform.

Measure it

Time the step before and after, and count the corrections a person makes. If corrections don't fall, fix the prompt, the data or the step — or drop it.