AI case study

BulllaIncident response

10x growth fractured visibility across tools, locking workers out of salary advances during outages. AI now surfaces root causes in minutes.

Published

Key results

MTTR Reduction
~90%
Report Time Reduction
~96%
Troubleshooting Time Reduction
up to 80%

Result highlights

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The story

Context

A Brazilian digital financial services platform that has granted over BRL 7.3 billion in microcredit, issued 3.6 million cards, and processes more than 3.2 million transactions annually through a B2B2C model where employers provide employees with a unified card for salary advances, credit, and benefits.

Challenge

After 10x growth in three years, fragmented observability tools made incidents slow to diagnose, with a global MTTR of 11 hours. Every outage creates...

Solution
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Quotes

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The company

Employee credit and financial benefits platform for Brazilian companies and workers.

IndustryFinancial Services
LocationAvenida Rebouças, 05402-400, São Paulo, São Paulo, Brazil
Employees251-1K
Founded2018

The vendor

Observability and security platform for cloud-scale monitoring and analytics.

IndustrySoftware & Platforms
LocationNew York, NY, USA
Employees5K-10K
Founded2010

Use case

Bullla's Incident response is part of this use case:

Cybersecurity
45 case studies(+123% YoY)
Proven impact?
Average
3.4Typical
3.4Typicalwithin Financial Services
3.4Typicalwithin IT

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