AI on property is now part of the record, like a folio.
Tokto records every prompt your team runs across revenue management, front desk, guest service, and marketing, ready for the GM, the GC, the owner, and the regulator.
Your team starts using a new AI for guest messaging and rate setting this quarter. The GM asks who validated it, the GC asks about guest data, the owner asks what it cost. No one has a single answer that matches.
- Every AI interaction tied to a property, a brand, a channel, and a model version.
- A single record the GM, the GC, and the owner can read against the same evidence.
- Policy at the prompt: guest PII redacted, cardholder data blocked, competitor pricing data kept out of the model.
- AI used at the speed of the front desk with the record the company needs.
- A new tool gets used across three properties before anyone notices. The GC finds out at audit.
- A front-desk assistant pastes guest PII into a public model. It is now in the training surface.
- A revenue model is fed a competitor rate feed. The antitrust exposure is created at the prompt.
- A property's AI cost runs over by 10x in a quarter. Nobody can say where it went.
Tokto sits inside every AI conversation on property. The revenue model, the guest-messaging assistant, the marketing co-pilot: all become records at the moment of use. The record carries the property, the brand, the channel, the model, and the policy that applied. Practitioners get the speed; the company gets the trail.
When the GM asks who used what, when the GC asks about guest data, when the owner asks about cost, the answer is one query. The team uses AI; the company stays out of the antitrust docket and the breach notice.