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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.

AI will fundamentally reshape how we approach merchant risk assessment by 2026, enabling real-time fraud detection with 99.7% accuracy."

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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.

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70% less manual effort per case allowed compliance teams to spend far less time on routine tasks and shift focus toward strategic improvements.
40% increase in agent workload capacity meant the same team could handle more cases without expanding headcount. Together, these improvements resulted in lower operational costs, better risk control, faster onboarding, and a scalable foundation for future growth.

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