Specifying a vision sensor means knowing conveyor speed, ambient temperature and PLC brand. Agents that carry that specification work.
Industrial teams still rely on fragmented and manual processes to match complex product specs with use-case-specific needs.
Take this example:
You're selling a vision sensor to a factory. To get it right, you need to know:
⇨ What’s the size and speed of the conveyor line?
⇨ Is the plant located in Munich or Arizona?
⇨ Will this sensor withstand that temperature range?
⇨ What PLC is the customer using — Siemens or Rockwell?
⇨ Will the sensor integrate without conflict?
⇨ Are there newer models in the portfolio that fit better?
⇨ Can it be installed without disrupting production?Now imagine trying to answer all of that...
⇨ Using PDFs.
⇨Email chains.
⇨ Gut instinct.
⇨ And hoping Bob from Engineering isn’t on vacation.
With an AI Agents trained on your connected industrial knowledge:
✅ All technical documentation, manuals, spec sheets, CAD drawings, becomes queryable
✅ Reps and engineers can ask natural-language questions and get verified answers
✅ Compliance, compatibility, and environmental fit can be checked in seconds
✅ Human experts stay in the loop, but no longer stuck in the weeds
I sat down with Fay Goldstein Co-Founder and CEO of Folio to discuss the application of AI Agents for Industrial Sales and Application Engineers.
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