Algorithmic room pricing is now a discoverable antitrust theory.

Tokto gives the hospitality General Counsel one record that ties every pricing decision, every guest-facing model output, and every guest-data flow to a property, a brand, and a channel, ready for the DOJ, the FTC, state AGs, the card brands, and opposing counsel.

What you get with Tokto

• Every pricing and guest-facing model decision tied to a property, a brand, a channel, a model version, and the data that fed it.
• A complete record for the DOJ, the FTC, state AGs, the card brands, and opposing counsel on the same evidence.
• Policy at the model: no competitor data into a pricing model, no guest PII outside scope, no claim past substantiation.
• Defensibility under antitrust scrutiny, FTC Section 5, state privacy law, and PCI at once.

How it works

Tokto governs the AI surface of the hospitality company. Revenue-management models, guest-service co-pilots, marketing assistants, and vendor AI integrations all become records at the moment they fire. The record carries the property, the brand, the channel, the model version, the data inputs, and the policy that applied. The GC works one trail across antitrust, privacy, and consumer-protection exposure.

When a guest class action turns on how the pricing algorithm was set, when the DOJ asks whether competitor data fed the model, when a state AG opens a privacy inquiry on the loyalty program, the record is the same record. The GC answers in days, not in discovery.

What goes wrong without it

• A revenue algorithm draws an algorithmic-pricing antitrust claim. The company cannot show its model ran on its own data alone.
• A guest-facing chatbot makes a non-compliant or discriminatory statement. The transcript is the exhibit.
• Loyalty PII flows into a vendor model with no current contract. A state privacy enforcement opens.
• Cardholder data reaches an AI tool outside PCI scope. The card brand and the forensic investigator both arrive.