AI case study

EngineCustomer self-service

Developer bottlenecks delayed refunds and account updates for months. Engine's team now builds secure self-service agents in days.

Published

Key results

Automated Tests
1,000+

Result highlights

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The story

Context

A business and group travel platform for small and medium businesses, trusted by over one million travelers, that grew from a startup into a $2.1 billion company with over 1,000 employees.

Challenge

As the company scaled, developer bottlenecks slowed delivery of new capabilities like refunds, transactions, and account updates. Low-code tools were...

Solution
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Scope & timeline

  • 30 minutes/day saved via Slackbot
  • AI agent built in 12 days vs months traditional
  • AI agents resolve 50% of support inquiries
  • 50% of chat requests resolved agentically

Quotes

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The company

Business travel management platform for hotel bookings and corporate lodging.

IndustryTravel & Tourism
LocationDenver, CO, USA
Employees251-1K
Founded2015

The vendor

AI-powered CRM platform for sales, service, marketing, and commerce teams.

IndustrySoftware & Platforms
LocationSan Francisco, CA, USA
Employees50K-100K
Founded1999

Use case

Engine's Customer self-service is part of this use case:

Agentic Customer Service
128 case studies(+25% YoY)
Proven impact?
Average
6.0Strong
6.0Strongwithin Travel & Tourism
6.0Strongwithin Product Engineering

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