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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