Closing the "Agility Gap" for a Multi-Product Fintech

Context: An international fintech operator managing multiple product lines faced a bottleneck in their onboarding operations. As they expanded into new jurisdictions, the volume of complex applications outpaced their existing automated systems.

Problem: While standard applications were processed smoothly, hard-coded automation proved too rigid for edge cases. Approximately 10% of high-value applications, often the most lucrative accounts, were trapped in expensive, slow-moving manual review cycles, frustrating customers and delaying revenue.

Challenge: The organization faced an "Agility Gap." Their risk infrastructure was brittle; swapping data providers or adjusting risk parameters to match local regulations required deep engineering intervention. This dependency on technical resources meant that risk teams could not react quickly to changing market conditions or new compliance requirements.

Solution

Risk Llama deployed an intelligent orchestration layer capable of multi-step reasoning, moving beyond simple "pass/fail" logic to understand the context of each application.

Contextual Case Building (KYC/AML): Deployed Risk Llama's Intelligent AI Case Builder to automate edge-case reviews. The system autonomously analyzes documents (passports, bank statements) and generates recommendations strictly aligned with the company's risk appetite.

Outcome

Transformed the onboarding of high-value clients from a bottleneck into a competitive advantage.

Drastic Efficiency: Reduced manual review volume for complex cases by 70% .

Analyst Focus: Shifted the risk team's focus from data gathering to strategic risk assessment.

Faster Revenue: Significantly shortened the "time-to-yes" for high-value customers.