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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.

What keeps you up at night

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.

What you get with Tokto

How it works

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.

What goes wrong without it

In Gibson v. Cendyn Group, a class of Las Vegas Strip hotel guests alleged that competing hotels artificially inflated room rates by using Cendyn / Rainmaker revenue-management pricing algorithms. The District of Nevada dismissed the case in May 2024, and on August 15, 2025 the Ninth Circuit affirmed, holding that independently subscribing to a shared pricing algorithm is not itself a restraint of trade absent an agreement among competitors. A parallel Atlantic City casino-hotel case, Cornish-Adebiyi v. Caesars Entertainment, was dismissed by the District of New Jersey on September 30, 2024. The DOJ filed an amicus brief supporting plaintiffs in Gibson, signaling continued federal scrutiny of revenue-management AI in hospitality.

See how Tokto makes enterprise AI visible, governed, and accountable for Teams in Hospitality.

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