• Resources
  • Case Studies
  • Transforming AML Investigations for a High-Growth Neo-bank

Transforming AML Investigations for a High-Growth Neo-bank

Anti-money Laundering Services
Transforming AML Investigations for a High-Growth Neo-bank

Business Situation

A leading fintech Neo-bank was experiencing rapid customer growth, resulting in a sharp increase in onboarding volumes and transaction activity. However, its existing anti-money laundering (AML) investigation framework relied heavily on manual processes and disconnected systems, limiting operational efficiency and scalability.

Investigators were required to navigate multiple tools and fragmented datasets to complete reviews, leading to inconsistent reporting, slower investigation cycles, and increased analyst workload. The client needed a scalable and integrated AML case management ecosystem capable of supporting high transaction throughput while maintaining regulatory rigor and investigation quality.

SGA Approach

Engagement Objective
SGA partnered with the client to modernize and streamline its AML investigation operations by implementing a centralized and automated case management framework tailored for a digital-first banking environment.

Key Activities

  • Consolidated fragmented AML data sources, including KYC records, transaction history, and external watchlists, into a unified investigation environment
  • Developed a centralized “golden record” view to provide investigators with complete customer visibility
  • Automated investigation workflows to standardize case handling and escalation processes
  • Enabled regulatory-ready reporting structures to improve audit preparedness and compliance consistency
  • Reduced analyst friction by minimizing screen-switching and manual data reconciliation efforts

Execution Approach

SGA deployed an integrated AML case management platform designed to support scalable compliance operations for high-growth fintech institutions. The solution unified disparate data streams into a single operational layer, enabling investigators to access comprehensive customer intelligence through one interface.

Workflow automation ensured that each investigation followed a consistent and policy-aligned process, improving operational governance and reducing cognitive burden on compliance teams. The platform architecture was designed to seamlessly scale alongside increasing customer acquisition and transaction volumes while supporting enhanced monitoring and reporting requirements.

Key Takeaways

  • Achieved a 35% reduction in average handle time (AHT) for complex AML investigations
  • Enabled unified visibility across 100% of customer touchpoints
  • Improved Suspicious Activity Report (SAR) quality, as recognized by internal audit teams
  • Successfully scaled compliance operations to support a 300% increase in monthly transaction volume
  • Strengthened AML compliance capabilities while supporting rapid business expansion

Related Tags

Anti-money Laundering Services BFSI

About SG Analytics

SG Analytics (SGA) is a leading global data and AI consulting firm delivering solutions across AI, Data, Technology, and Research. With deep expertise in BFSI, Capital Markets, TMT (Technology, Media & Telecom), and other emerging industries, SGA empowers clients with Ins(AI)ghts for Business Success through data-driven transformation.

A Great Place to Work® certified company, SGA has a team of over 1,400 professionals across the U.S.A, U.K, Switzerland, Poland, and India. Recognized by Gartner, Everest Group, ISG, and featured in the Deloitte Technology Fast 50 India 2024 and Financial Times & Statista APAC 2025 High Growth Companies, SGA delivers lasting impact at the intersection of data and innovation.

Driving

AI-Led Transformation