Case Study: Flex resolves rent support tickets faster with Lorikeet

A Lorikeet Case Study

Preview of the Flex Case Study

How Flex Uses AI to Handle 4x Chat Spikes During Rent Week

The customer, Flex, a finance scale-up, was facing challenges handling high-volume, high-emotion customer support requests related to rent payments. Their previous solution from Ada could not provide the policy accuracy required, so they sought a new AI vendor to manage chat spikes and ensure precise, urgent support. They chose to implement an AI agent from Lorikeet.

Lorikeet provided a deeply integrated solution, trained specifically on Flex's policies and workflows to handle tickets and escalate complex issues. This implementation resulted in a 2x increase in CSAT scores and a 50% decrease in median conversation duration. Lorikeet successfully handles 4x chat volume spikes during rent week, allowing Flex's human agents to focus on more complex challenges.


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Flex

Lindsay Boland

CX AI Product Lead


Lorikeet

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