Algorithmic pricing is now a line on the enterprise risk register.
Tokto gives the hospitality risk and compliance officer 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, the card brands, the owners, and the board risk committee.
A guest class action and a DOJ inquiry land on the revenue-management algorithm. A loyalty-data exposure opens a state privacy review. The board risk committee asks the CRO where AI sits on the enterprise risk register and what controls sit behind it. The risk function has a heat map and a vendor file, but nothing that ties a pricing output to its data inputs.
- Every pricing and guest-facing AI decision scored and recorded against a property, a brand, a channel, a model version, and its data inputs.
- A single evidence layer the DOJ, the FTC, the card brands, the owners, and the board risk committee read against the same record.
- Policy enforced at the model: no competitor data into a pricing model, no guest PII outside scope, no card data out of PCI scope.
- AI risk that is measured by property and brand, controlled at the model, and attestable to the board and the owners.
- Algorithmic-pricing risk is never measured. The first number is a class action and a DOJ inquiry.
- A pricing model is fed competitor data. The control gap is the antitrust theory.
- Loyalty PII flows into a vendor model with no record. The risk register never flagged it.
- The board risk committee asks if AI is within appetite. The CRO has a heat map, not a record.
Tokto turns AI exposure across the portfolio into a managed, evidenced risk. Every revenue model, every guest-service co-pilot, every marketing assistant, every vendor-shared AI tool becomes a scored record at the moment of output, tied to the property, the brand, the channel, the data inputs, and the policy in force. The risk function sees exposure by property before the plaintiffs' bar does.
When the DOJ asks whether competitor data fed a pricing model, when the FTC opens a guest-data inquiry, when the card brand asks how cardholder data was governed, when the board risk committee asks whether AI is within appetite, the answer is one query against the system of record. The CRO reports AI risk alongside the rest of the enterprise risk register, with a control and a trail.