Key Insights

Cut reconciliation processing times by 50%, accelerated AML analysis, and reduced compliance backlogs. Today, 73% of new compliance cases are closed using AI-powered automation.

About the Client

The leading fintech enabling global merchants to process cross-border payments and payouts in emerging markets across Latin America, Asia, the Middle East, and Africa.

The Challenge

The company faced significant compliance challenges due to manual and fragmented processes. Their teams struggled with:

• Heavy reliance on analysts across Legal, Finance, and AML functions.
  
  
• A large backlog of compliance cases across different verticals, causing delays.
  
  
• Lack of process standardization across analysts, leading to inefficiencies.
  

Marvik’s Approach

We implemented AI-driven solutions to reduce manual work and accelerate compliance workflows:

• Transactions monitoring for compliance: Large Language Models (LLMs) were applied to detect potential money laundering transactions from extracted data.
  
  
• SOX controls automation: LLMs generated audit reports, identified unmatched transactions, and reduced manual workloads for assurance teams.
  

The Results & Impact

• 50% faster reconciliation processing times.
  
  
• Significant acceleration of AML analysis, improving compliance efficiency.
  
  
• Reduced backlog of compliance cases that required human analysis.
  
  
• 73% of new compliance cases closed with the AI-powered system.
  

Why This Matters

By automating compliance and AML processes, the firm improved efficiency, reduced risk, and scaled operations across multiple regions. The solution not only saved time but also enhanced accuracy and governance, strengthening trust with regulators and clients.