Airlines already have apps and websites where travelers check flights, pick seats, and manage bookings, and adding a natural voice layer opens those tasks to spoken requests. With this voice layer, a traveler can change a seat or check a delay by speaking, without leaving the app or navigating through screens. Building it requires careful engineering on several fronts. You stream audio in both directions and hold the thread of a conversation across many turns. You also reach your existing backend systems without coupling the agent tightly to them, and you scale when traffic spikes before a holiday weekend.

This post shows you how to add a voice travel concierge to an airline application, built on three managed services. Amazon Bedrock AgentCore is an agentic platform for building, deploying, and operating AI agents securely at scale with your choice of framework and model. Amazon Nova Sonic on Bedrock is a speech-to-speech model for real-time voice. Amazon Bedrock Knowledge Bases is a fully managed retrieval augmented generation service that grounds answers in your own documents. A traveler speaks, and the concierge pulls up their itinerary, changes a seat, updates a meal preference, answers a policy question, and connects them to a live agent on request.

The concierge runs alongside your existing screens rather than replacing them, so travelers move between tapping and talking in the same session. It runs on services that scale on demand, so you spend your time on the experience instead of the infrastructure. The AI layer connects to a sample airline backend with synthetic data, which accelerates your implementation when you adapt the pattern to your own systems.

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