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AIx Automation

Fintech Operations Optimization

Impact

78% faster transaction processing

Confirmed by client

Timeline

4 weeks

Industry

Financial Services / Fintech

Fintech Operations Optimization

This fintech serves 5,000+ SMBs across North America on payments and lending. Transaction volume tripled in two years. Seven disconnected systems, heavy manual compliance work, and slow onboarding were starting to look like a regulatory and growth risk, not just an efficiency problem.

Results and Impact

  • 78% faster end-to-end transaction processing
  • 92% fewer compliance processing errors
  • 85% less manual data entry
  • Onboarding cut from 5–7 days to about 24 hours
  • 95% of standard KYC checks automated
  • Suspicious-transaction false positives: 42% → 8%
  • Roughly $1.2M/year saved in operational cost

Ops focused on exceptions; compliance could spend more time on policy and edge cases instead of repetitive review.

The Challenge

Data lived in seven places with 3–5 day lag between some of them. Four people were almost full-time on KYC/AML document checks, with 48+ hour turnaround and noisy alerts. More than a third of transactions needed manual handling; onboarding stretched a week; leadership had weak visibility into status. Point-to-point fixes and more headcount had not held.

Our Solution

We put an integration and document layer in the middle so systems share one customer and transaction picture, and routine compliance steps run with clear escalation paths.

  • API-first middleware with event-driven sync and a unified customer model
  • Document processing for KYC/AML: ingest multiple formats, validate, flag anomalies
  • Operational dashboards for monitoring, exception signals, and reporting teams can use without engineering every time

Discovery first, then framework, then document automation, then broader rollout and tuning.

Technical details

The solution was built using an API-first middleware platform with event-driven architecture connecting all systems. Key technical components included:

  • Event Bus System - Coordinating real-time data flow between systems
  • Unified Data Models - Providing a single source of truth for customer and transaction data
  • Intelligent Document Processing - Using machine learning for automated extraction and validation
  • Operational Dashboards - Providing real-time visibility and analytics

The modular design allows for easy integration of future acquisitions and expansion to new markets without significant rework.

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