AI on the shop floor is now part of the record, like a torque spec.
Tokto records every prompt your team runs across engineering, quality, and supply chain, ready for the plant manager, the prime, the auditor, and the trade-secret court.
Your team starts using a new model for FMEA cleanup this quarter. The plant manager asks who validated it, the auditor asks about ITAR, the supplier asks about the IP. No one has a single answer that matches.
What you get with Tokto
- Every AI interaction tied to a plant, a line, a part, and a model version.
- A single record that the plant manager, the prime, and the auditor can read against the same evidence.
- Policy at the prompt: CAD blocked, supplier codenames redacted, ITAR-controlled data stopped before tokens leave the boundary.
- AI used at the speed of the line with the record the company needs.
How it works
Tokto sits inside every AI conversation in the company. The engineering co-pilot, the quality model, the supplier-shared AI — all become records at the moment of use. The record carries the plant, the line, the part, the engineer, the model, and the policy that applied. Practitioners get the speed; the company gets the trail.
When the plant manager asks who used what, when the prime asks for an audit, when the supplier asks about IP, the answer is one query. The team uses AI; the company stays inside the moat.
What goes wrong without it
- A new tool gets used across three plants before anyone notices. The prime customer finds out at audit.
- An engineer pastes proprietary CAD into a public model. It is now outside the company's control.
- A supplier-shared assistant retains design data past the contract. The supplier reads the news.
- A line's AI cost runs over by 10x in a quarter. Nobody can say where it went.
In a 20-day stretch in early 2023, Samsung's semiconductor division leaked proprietary chip source code, equipment defect detection code, and internal meeting transcripts into ChatGPT in three separate incidents — data the company could no longer control once it left the boundary. Samsung immediately banned public LLMs and committed to building an internal AI system. The same paste-into-public-LLM pattern has since been observed across the manufacturing sector at scale.
See how Tokto makes enterprise AI visible, governed, and accountable for Teams in Manufacturing.
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