Mirai Launches AI Booking Engine for Hotels

Mirai introduced Mirai AI Infrastructure on April 8, 2026 — a purpose-built architecture that makes hotel bookings natively conversational across chat, email, WhatsApp and AI assistants including ChatGPT. The platform completes reservations and processes payments within a conversation rather than redirecting the guest to a website. "With Mirai AI Infrastructure, the booking engine stops being a static destination to become a capability that lives wherever the customer is," said Pablo Delgado, CEO America at Mirai.

This is not a chatbot add-on; Mirai frames the product as an infrastructure stack that operationalizes hotel commerce for conversational agents. The architecture couples transactional booking capabilities with a canonical hotel knowledge source and an AI-facing connectivity layer. That enables external AI agents to read structured content, obtain live availability and rates, and execute bookings programmatically without exposing inventory to intermediary flows.

Key technical details The infrastructure consists of five named components: an evolved booking engine, a Master Database (Knowledge) to provide a single source of truth, Sarai as the conversational intelligence layer, Lobby for governance and analytics, and the Model Context Protocol (MCP) to link AI assistants. Mirai emphasizes secure payment processing inside the conversational flow and a uniform direct-sales experience across channels so hotels retain commercial control while automating repetitive interactions.

For ML and platform engineers building conversational commerce, Mirai demonstrates a concrete integration pattern: unify transactional APIs, canonical knowledge, conversation state, governance, and an agent-facing protocol. The MCP concept is especially relevant — it codifies how model-context and structured hotel content are exchanged between vendor systems and third-party AI assistants. Product and revenue teams in hospitality should see this as an attempt to shorten the path-to-purchase and reduce reliance on OTAs by making bookings actionable in AI-native touchpoints.

Monitor MCP specifications and any developer-facing docs or SDKs Mirai publishes — those will determine how easily third-party agents (ChatGPT, assistant platforms) can access inventory and execute payments. Watch operational signals: conversion and fraud metrics for in-conversation payments, reconciliation across channels, and how OTAs respond with their own agent integrations.