AI case study

NavanCall quality assurance

Teams couldn't manually review hundreds of daily AI hotel calls. Audio models now evaluate raw recordings, routing exceptions to humans.

Published

Key results

Macro F1 Score
>0.9
Macro F1 Score
0.89

Result highlights

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The story

Context

An all-in-one travel and expense management platform coordinates bookings with millions of hotels worldwide, facing a long tail of independent properties that lack modern API integrations.

Challenge

To handle payments at these properties, the company deployed a voice agent to call front desks, generating hundreds of daily conversations....

Solution
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Quotes

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The company

All-in-one travel and expense management platform that combines corporate travel booking, expense tracking, and corporate card services.

IndustrySoftware & Platforms
LocationPalo Alto, CA
Employees1001-5000
Founded2015

The vendor

AI observability and evaluation platform that helps developers build, test, and monitor LLM-powered applications.

IndustrySoftware & Platforms
LocationSan Francisco, CA
Employees11-50
Founded2020

Use case

Navan's Call quality assurance is part of this use case:

Conversation Intelligence
38 case studies(+117% YoY)
Proven impact?
LowModerateVery Strong
7.6Strong
6.6Strongwithin Software & Platforms

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