Cloudbeds launches Ask Signals, a conversational AI interface for hotels

Conversational AI built on unified hotel data

Ask Signals, part of Cloudbeds’ Spring Release 2026, is billed by the vendor as a way to accelerate access to actionable information without jumping between systems or exporting manual reports. In this broader platform update, which also includes enhancements to group sales, direct bookings and financial reporting, Ask Signals is intended to make artificial intelligence a more direct entry point to data that has until now been spread across multiple functions.

The tool, currently in an early pilot programme, is built on Signals, Cloudbeds’ unified hospitality intelligence architecture. It connects reservations, revenue, distribution channels, payments, guest data and marketing within a single environment. Users can query the system in natural language to surface a synthesis of booking source, channel history, payment records, ancillary spend, Average Daily Rate (ADR), review history and recent communications. The release also notes it can surface contextual details — such as a guest visiting to celebrate their daughter’s birthday — to help teams prepare a more personalised welcome.

A unified platform that understands the full context

Ask Signals is not presented as a simple chatbot layered onto fragmented systems, but as a tool that can see the hotel’s operations end to end. With this conversational interface, alongside other modules in the Spring Release 2026, Cloudbeds is seeking to reinforce its position as a unified platform for hoteliers who want to link guest experience, commercial management and operational performance more closely.

“Every hotel technology company will have AI,” said Adam Harris, co-founder and CEO of Cloudbeds. “What will matter is the quality and connectedness of the data underneath it. Most hospitality AI tools only see one part of the business because they sit on disconnected systems assembled over time. Ask Signals is different because it’s built on a unified platform that understands the full context of hotel operations — from guest preferences and booking trends to revenue performance and marketing activity.”

This approach is designed to help teams understand performance trends more quickly, prepare arrivals better and take decisions without repeated clicks or report hunts. It also reflects a shift in hotel operations towards more accessible interfaces for non-technical roles.