Outcomes
49%
faster review resolution time
30%
higher fraud detection accuracy
70%
less manual effort
40%
increase in agent workload capacity
Payment processors and financial institutions face mounting pressure to balance rapid merchant onboarding with increasingly sophisticated fraud threats. Legacy risk management systems, designed for simpler times, struggle to keep pace with real-time payment channels, evolving regulatory requirements, and the exponential growth of digital commerce.

faster review resolution time
higher fraud detection accuracy
less manual effort
increase in agent workload capacity
Fido is a fast‑growing digital lender in Africa, offering personal and business loans, savings, and financing solutions via mobile platforms. As customer volumes surged, Fido’s manual compliance workflows struggled to keep pace - leading to slow approval cycles, inconsistent risk assessment, and rising operational costs.
As Fido scaled rapidly across digital lending markets in Africa, a bottleneck emerged. Every loan application triggered a manual review process where compliance analysts waded through documents, manually assessed risk, and made case‑by‑case decisions. This slowed approvals, frustrated customers, and inflated the cost and headcount in the compliance team. Inconsistent risk evaluations and onboarding delays threatened Fido’s ability to scale with speed and accuracy.
Ballerine introduced a custom risk‑intelligence platform that unified advanced case management, document automation, and fraud detection. This allowed Fido’s incoming loan applications to be processed automatically: OCR tools extracted key data, fraud algorithms flagged suspicious patterns, and enrichment plugins handled non‑standard documents. Compliance analysts only needed to step in for exceptions. A workflow dashboard prioritized high‑risk cases while standard reviews were streamlined, transforming a tedious, manual process into a lean, tech‑powered system that grew seamlessly with Fido’s business.