AI is now part of the record, whatever your team does.
Tokto records every prompt your team runs, every model output that touches a customer or regulated data, ready for your manager, the GC, the auditor, and the regulator.
Your team starts using a new AI tool this quarter. Your manager asks who validated it, the GC asks about the data, the auditor asks for a record. No one has a single answer that matches.
What you get with Tokto
- Every AI interaction tied to a team, a use case, a customer, and a model version.
- A single record that your manager, the GC, and the auditor can read against the same evidence.
- Policy at the prompt: regulated data blocked, customer identifiers redacted, sensitive content stopped before tokens leave the boundary.
- AI used at the speed of the work with the record the organization needs.
How it works
Tokto sits inside every AI conversation on the team. The co-pilot, the workflow model, the vendor-shared assistant — all become records at the moment of use. The record carries the team, the use case, the customer, the model, and the policy that applied. Practitioners get the speed; the organization gets the trail.
When your manager asks who used what, when the GC asks about the data, when the auditor asks for a record, the answer is one query. The team uses AI; the organization sleeps better.
What goes wrong without it
- A new tool gets used across the team before anyone notices. The GC finds out at audit.
- Someone pastes regulated or confidential data into a public model. There is no record of what went where.
- A vendor assistant retains customer data past the contract. The team cannot produce a deletion record.
- The team'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 Every Industry.
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