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FINTECH
FINTECH · SMB CREDIT

Delinquency dropped from 12% to 5% with credit pipeline and smart collection.

12% → 5%
delinquency
more collections with same team
0
harassment complaints
See solution →
Problema

SMB credit without structured qualification generated 12% delinquency. Reactive, manual collection with no full LGPD trace.

Solução

Credit pipeline with AI qualifying risk, smart collection by aging bucket with automatic agreement, and auditable LGPD trail per contract.

Resultado

Delinquency dropped by half, same team collected 3× more and zero harassment complaints. LGPD compliance passed external audit.

“We stopped approving on gut and collecting by shouting. Pipeline and AI brought method to both ends.”
— CFO · SMB Fintech
Stack
Credit Pipeline · AI Qualification · Collection · LGPD
Implementation time
First workflow live in 21 days

Frequently asked questions

Are these numbers guaranteed?
No. Every operation is unique. The case studies show results observed in specific contexts. What we guarantee is methodology, follow-up and continuous adjustments.
Why are some cases anonymous?
We respect the confidentiality of clients who prefer not to disclose their identity. Anonymous cases are based on patterns observed across multiple operations in the same segment.
Does it work for my segment?
Mágica Suite already runs in telecom, healthcare, finance, real estate, education, industry and retail. Book a diagnosis — we probably already have a similar stack running.