Discover safe, everyday uses for AI tools in hotel operations. This guide provides department-specific rules to protect guest data and ensure staff control.
An AI safety layer defines what an AI may do alone, what needs a person, and how data is separated. Learn why these rules must exist before choosing a model.
A chatbot answers, an assistant acts within limits, and an agent pursues goals. Learn the key terms, safety tiers and audit trails to judge hotel AI tools.
A good AI audit trail shows who acted, on whose authority, what changed, why, and how to undo it. Learn the five questions every record must answer and why tamper-evident is the honest promise.
AI Otel Core defines each hotel action once and serves it to hotel teams, partner systems and AI assistants through three separate doors. It is built and runs in a public demo environment on a fictional hotel, with no live customers or connected partners.
Direct bookings stall when prices hide taxes, languages break, or payment steps confuse guests. This guide shows how to audit your booking path, comply with regulations, and offer fair reasons to book direct.
Software prepares the desk's work, but a person still decides money, exceptions and identity records. Use three questions to sort every task on your shift.
Package revenue is not room ADR. This guide explains how to separate room and board revenue, convert per-person rates, and report both figures accurately.
This glossary defines KBS, KVKK, e-Fatura, e-Arşiv and ÖKC for hotel managers in Türkiye. It explains what each term requires, who is responsible, and where it appears in a stay.
AI assistants answer from your hotel's records, so bad data returns as confident errors. Learn the order to clean room types, rates, and profiles, plus a monthly routine to keep them accurate.
Allotment commits a room block; free sale uses live availability. Learn how to set release dates, price guarantees, and review pickup history to protect your hotel's revenue.