AI Agents for ManufacturingEvidence levels
Every use case carries one badge that tells you how strong the evidence behind it is. Every case links to its sources; the badge tells you what kind of source it is.
Verified Verified
A real deployment at a named company (or a precisely described anonymous one), in production, with a primary source and at least one measured result. Most of these figures are published by the vendor or the company itself and are not independently audited; each page says who reports them.
- AI normalizes supplier quotes into one comparison
- AI builds RFQ packages and finds suppliers for hard-to-source parts
- AI replenishment recommendations so reorders are not missed
- Find existing parts before designing or buying a new one (AI shape search)
- Supplier PO follow-ups and order confirmations by AI agent
- AI-drafted SOPs and work instructions from existing documents
- Vision defect inspection on the edge
- Anomaly detection on machine and process data to cut scrap
- Predictive maintenance from vibration sensors, planned in the CMMS
- Troubleshooting copilot over manuals and work-order history
- Bulk HS-code classification for your whole item master
- AI quoting from drawings and RFQ emails
- AI accounts payable invoice processing
- Customer PO and quote emails → sales orders in the ERP (drafts or automated entry)
- Multilingual operator training
- Agent confirms supplier PO acknowledgements in the ERP
- AI generates CNC toolpaths so programming stops being the bottleneck
- AI pulls BOM data from supplier documents and checks it against stock and specs
- Clean up duplicate and incomplete spare-parts records in the material master
- Stop paying freight charges you don't owe: AI flags surcharges, detention and billing errors before payment
- AP invoices posting touchless at a fastener maker
- APS planning board (INFORM FELIOS) for on-time delivery in a precision job shop
- Automatic feasibility check of customer drawings at RFQ intake
- Operator assistant over SOPs, troubleshooting guides and process data
- Condition-monitoring alerts ranked by an expert so teams act on the right ones
- AI finds duplicate and excess MRO spare parts across plants
- Connected-worker platform with AI to speed up operator onboarding
- AI fabric inspection on knitting machines that stops the machine
- Ask an AI agent about live production instead of reading yesterday's ERP reports
Pilot Pilot
A pilot, prototype, proof of concept, funded trial or early rollout, often on one line, one product range or for a few months, or reported by a programme or integrator without a baseline. The results are real but limited in scope or not yet measured, and some may be projections.
- AI shift handover summaries from voice and typed notes
- 8D / NCR drafting and root-cause hypotheses
- AI-assisted deviation investigations, root cause and CAPA
- Agentic work-order drafting and repair-window scheduling
- Demand forecasting with external signals
- AI scheduling that groups similar parts and picks the best machine
Analyst-reported Analyst-reported
A one- or two-sentence result reported by a consulting or analyst firm about an unnamed client. No method, baseline or time frame is published, so the figure cannot be checked and may not be due to AI alone. The steps on the page are a method you can apply, not a description of what the client did.
Anecdote Anecdote
One practitioner describing their own experience, for example on a forum or social media. Useful as a signal, but not verified and not measured.
No case at this level today.
Method Method
A practical method built from standards, vendor documentation and related published cases. There is no published, measured customer result for this exact workflow yet, so it is not counted as a customer case.
Idea Idea
A use that seems plausible but for which we have not found a real implementation. Shown only if clearly labelled; never presented as a case.
No case at this level today.