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Use case

AI agents for manufacturing

Manufacturing teams spend hours reading documents and comparing them with rules. Agents can do the first pass, and people make the decisions.

Where agents help

ProcessWhat the agent doesWho decides
RFQ reviewFinds missing details and drafts customer questionsSales engineer
Non-conformance reportsDrafts the report from the information givenQuality owner
CAPAPrompts root cause thinking and drafts actionsQuality owner
Incoming inspectionCompares results with stated limits and flags differencesInspector
Audit preparationCollects evidence and lists gapsAudit lead

How to start

  1. Choose one process with clear volume, such as RFQ review.
  2. Measure today's time per item and rework for two weeks.
  3. Run the agent alongside your current process, with people checking each result.
  4. Compare time, missed issues and false alarms.
  5. Decide whether to continue, improve or stop.

Keeping technical documents safe

Customer drawings and specifications may be confidential. Before using real documents, check your AI provider's data terms or use a local model. Hivelock's confidential mode limits work to the providers you have cleared.

Measuring value

Compare hours saved, quote turnaround, first-pass acceptance and rework. Only count saved time if people use it for other work.

Common questions

Can an AI agent sign off an inspection?

It should not. The agent can compare values and flag differences, and a qualified person signs off.

Does this replace a quality management system?

No. Agents can work alongside your existing systems, which remain the place for official records.

Try Hivelock in early access.

Tell us which process you want to automate. Get early access.