Anana Is Building AI Tools for the Part of the Guest Journey Hotels Never Track: Before the Booking
Anana's new AI workspace for hotel commercial teams targets pre-booking guest signal that traditional systems never capture — the same adoption gap Lighthouse cites in finding only 10% of hospitality leaders feel fully prepared for AI despite 67% expecting major impact.
Anana, founded by Ricardo Pantaleon and Alexandros Zisimidis, has launched an AI workspace built specifically for hotel commercial teams, available now to hotel groups, management companies, and independent properties via getanana.com. The platform runs on five components: Agents that handle guest engagement across calls, chats, and emails; a Hotel Knowledge Center holding property information; a Visibility Lab that monitors how a property is discovered and represented in AI search; Magic Moments, which routes relevant guest context to the right internal team; and Reporting that ties metrics back to the evidence behind them. Pantaleon frames the target gap directly: hotels have spent decades optimizing what happens after demand becomes a booking, and Anana is built for everything that happens before it does — the commercial signal buried in pre-booking conversations that traditional hotel systems never capture.
That gap is exactly what recent adoption data says is holding hotel commercial teams back. Lighthouse’s own launch data found only 10% of hospitality leaders feel fully prepared for AI, even though 67% expect it to have a major business impact — the reason Lighthouse now embeds “Ernest Crews,” small teams that spend 30 to 60 days inside a hotel’s commercial department deploying its AI teammate, rather than shipping self-serve software and hoping teams figure it out. Lighthouse’s Ernest already runs across roughly 80,000 hotels in 185 countries on that model.
Two different vendors are converging on the same conclusion from different sides: Anana is building the tooling to capture pre-booking commercial signal that hotels currently lose, while Lighthouse’s adoption numbers explain why a hotel commercial team would need white-glove help actually using it. The underserved gap isn’t the technology — it’s getting commercial teams from 10% readiness to using tools built for a part of the guest journey they’ve never had visibility into before.
Source: Hospitality Net Auto-generated brief — verified before publishing.