AI case study

AcertoCustomer support

Inquiries sat for days as volume outpaced staff. Gemini now classifies intent, automating 80% of tickets and cutting wait times to minutes.

Published|2 months ago

Key results

Projected Savings
R$520k
vs hiring new staff
Tickets Resolved
130k
Automation Rate
~80%

Result highlights

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The story

Context

A Brazilian fintech specializing in debt recovery supports over 70 million consumers through a fully digital platform that enables users to negotiate debts in under five minutes.

Challenge

Accelerated growth caused support ticket volumes to exceed human capacity, creating response delays of several days. The manual workforce could not...

Solution
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Scope & timeline

  • 3-month implementation timeline

Quotes

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The company

Digital platform for debt negotiation and financial recovery services.

IndustryFinancial Services
LocationBelo Horizonte, MG, Brazil
Employees51-250
Founded2017

The AI provider

Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.

IndustryTechnology
LocationMountain View, CA, USA
Employees100K+
Founded1998

The implementation partner

Avenue Code logo

Avenue Code

avenuecode.com

Defined the AI architecture and implemented Gemini-based ticket automation for Acerto.

IndustryTechnology
LocationSan Francisco, CA, USA
Employees1K-5K
Founded2008

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