Global FinTech Network
    CASE STUDY 01

    Augmented
    Financial Intelligence for Real-Time Banking

    Re-architecting a legacy banking core to scale securely, detect fraud in real time, and operate without downtime at peak transaction volumes.

    Fintech Context

    The Context

    As transaction volumes surged during peak retail and digital commerce cycles, the bank’s legacy core - originally designed for predictable batch workloads - became a constraint rather than a foundation.

    The existing monolithic architecture struggled to support real-time payments, leaving the institution vulnerable to outages during critical windows. Simultaneously, fragmented data streams made it impossible to detect sophisticated fraud patterns in real-time, forcing reliance on reactive, rule-based blocks that frustrated genuine customers.

    Challenge
    Core Scalability
    Risk
    Real-Time Fraud
    Digital Finance Background

    The Friction Point

    Legacy infrastructure was the bottleneck. Monolithic architectures created single points of failure and prevented the agility needed to compete.

    Transaction Latency

    Transaction slowdowns during high-volume windows.

    False Positives

    Fraud systems generating high false positives.

    Operational Drag

    Manual incident response and war-room escalations.

    Fintech Process Flow

    Cloud-Native Modernization

    Decoupled the Legacy Core

    To address failure cascading, we decomposed the liability-critical monolith into resilient microservices, isolating payment processing to ensure stability under load.

    01

    Introduced Event-Driven Processing

    To eliminate batch bottlenecks, we implemented real-time Kafka streaming, allowing transactions to be processed and reconciled the instant they occur.

    02

    Embedded Adaptive Fraud Intelligence

    To stop sophisticated attacks, we deployed an inline machine learning model that adapts continuously, scoring transactions in milliseconds without latency.

    03
    Impact Background

    Impact on Growth

    10x
    Transaction Volume

    sustained without degradation.

    99.99%
    System Uptime

    during peak retail traffic.

    35%
    Fraud Reduction

    with 50% fewer false positives.

    Daily
    Release Cycles

    moving from monthly windows.

    CASE STUDY 02

    Wealth Management Reimagined

    Beyond infrastructure, we help wealth management firms deliver hyper-personalized experiences, turning data into tailored financial advice.

    Wealth Management Dashboard

    Wealth Management,
    Reimagined Through Intelligence

    Transforming a traditional advisory platform into a hyper-personalized, insight-driven wealth experience.

    The Challenge

    A premier wealth management firm was losing next-gen clients. Their digital portal was a static repository of PDF statements, giving no real-time transparency.

    Advisors were overwhelmed with manual spreadsheet reporting, spending hours prepping for client meetings instead of building relationships.

    Focus
    High-Net-Worth
    Goal
    Advisor Scale

    Client attrition to digital-first robo-advisors.

    Advisors spending 60% of time on admin tasks.

    Lack of real-time portfolio visibility.

    Generic advice that failed to engage younger investors.

    The Solution: Intelligent Wealth Platform

    We built a modern client portal powered by a recommendation engine that surfaces news, opportunities, and portfolio alerts tailored to individual goals.

    Unified Client Intelligence

    Aggregated data to provide a 360-degree view of client wealth.

    Predictive Analytics

    Algorithms suggesting 'Next-Best-Actions' for portfolio rebalancing.

    Advisor Copilots

    Automated customized outreach and report generation.

    Measurable Impact

    45%
    Lift in Engagement
    20%
    AUM Growth (Year 1)
    15hrs
    Saved per Advisor/Week

    Let’s Modernize Your Financial Infrastructure