Case Study: Papaya Pay achieves 90% autonomous inquiry resolution with Maven AGI

A Maven AGI Case Study

Preview of the Papaya Pay Case Study

How Papaya Pay Autonomously Answers 90% of Customer Inquiries With Maven AGI

Papaya Pay, a fintech company specializing in bill payment technology, faced the challenge of scaling its customer support to handle increasing user inquiries without expanding its team size. Their existing system required cumbersome manual upkeep. They partnered with vendor Maven AGI to implement its AI-powered solution, Agent Maven™, seeking to provide fast, accurate, and autonomous support.

Maven AGI’s solution involved deploying its AI agent into Papaya Pay’s in-app chat, which was trained on the company's documentation. This allowed the agent to autonomously answer 90% of customer inquiries, achieving a 70% first contact resolution rate. The implementation saved the team 50 hours per week and cut the cost per ticket in half, enabling the lean team to manage higher volumes efficiently.


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Papaya Pay

Jeff Ho

Vice President of Operations


Maven AGI

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