AI case study

NG.CASHCustomer support

Rigid trees resolved just 13% of chats. Slang-fluent AI agents now handle 70% of volume, avoiding 35+ hires as demand tripled.

Published|11 months ago

Key results

Deflection Rate
70%
vs 13% autonomous resolution
Hires Avoided
35+

Result highlights

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The story

Context

A Brazilian digital banking platform for Gen Z provides prepaid cards and crypto investments to millions of tech-savvy users.

Challenge

A legacy decision-tree system resolved only 13% of inquiries, forcing the vast majority of requests into manual queues. With inquiry volumes surging...

Solution
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Quotes

The company

NG.CASH logo

NG.CASH

ng.cash

Digital banking app and Mastercard provider for teenagers in Brazil.

IndustryFinancial Services
LocationRio de Janeiro, RJ, Brazil
Employees51-250
Founded2021

The AI provider

Decagon logo

Decagon

decagon.ai

Generative AI platform for automated enterprise customer support and workflows.

IndustrySoftware & Platforms
LocationSan Francisco, CA, USA
Employees51-250
Founded2023

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