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Spotnana Adds Multi-Agent AI Architecture

First set of capabilities targeted at travel agents, with travel managers to come later this year

Written by:

Harvey Chipkin

Published on:

Spotnana, a travel-as-a-service provider, announced it has added a multi-agent AI architecture to its travel platform and released new AI capabilities for travel agents. Additional AI tools for travelers, travel managers and travel agents built on the new AI architecture are expected to be available later this year.

The new architecture, said the announcement, uses specialized AI agents to perform discrete tasks. Each AI agent, said the announcement, is mapped to specific Spotnana APIs that execute deterministic workflows, resulting in a high degree of accurate, autonomous action.

The new AI architecture is open by design, allowing customers and partners to develop their own AI agents and integrate Spotnana’s AI capabilities with other systems.

Ashish Chaudhary, executive vice president of engineering, said: “For years we have worked to automate every servicing workflow across every source of content, so travelers could do more without asking an agent for help. Our AI architecture builds on that foundation and extends it even further, opening the door to a new generation of traveler experiences.”

The following capabilities are now available for travel agents:

  •  AI agent for servicing tasks — Automates high-volume, routine servicing tasks that include handling canceled segments that result from airline schedule changes, validating unticketed airline segments, issuing residual MCOs (miscellaneous charges orders) and automating refunds.
  • AI agent for external bookings — Automatically brings externally booked trips into the Spotnana platform.
  • AI co-pilot for travel agents — Helps agents resolve traveler requests more efficiently through intelligent assistance, including AI-suggested agent responses and AI-generated conversation summaries.
  • AI-driven insights for servicing reports — Provides detailed analytics on completed servicing tasks, including the volume of tasks completed by the AI servicing agent, along with AI-generated insights on trends and suggested actions.

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