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Development of a Scalable Cloud-Based Accounting Engine with AI-Driven Financial Insights
  1. case
  2. Development of a Scalable Cloud-Based Accounting Engine with AI-Driven Financial Insights

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Development of a Scalable Cloud-Based Accounting Engine with AI-Driven Financial Insights

stratoflow.com
Financial services
Telecommunications
Insurance

Problem Statement

Existing accounting systems from vendors like Oracle, SAP, and Moody’s lack scalability, incur high operational costs, and fail to adapt to dynamic client needs. The client requires a next-generation platform capable of processing billions of transactions at subsecond speeds while maintaining flexibility for future extensions.

About the Client

A startup founded by finance experts and industry veterans aiming to disrupt traditional accounting systems with a modern, cloud-native platform.

Project Objectives

  • Design a high-performance, cloud-native accounting engine using in-memory data processing
  • Implement modular architecture for seamless scalability and client-specific customization
  • Compete with established vendors by delivering superior technical capabilities and cost efficiency
  • Support agile development cycles for rapid iteration and client collaboration

Functional Requirements

  • High-speed transaction processing (over 1 billion/hour)
  • Subsecond querying of billions of financial balances
  • Modular extensions for client-specific workflows
  • Cloud-based deployment with auto-scaling capabilities
  • Integration with third-party reporting and compliance tools

Preferred Technologies

In-memory data processing frameworks
Open-source databases and cloud-native architectures
Containerization (e.g., Docker, Kubernetes)
AI/ML libraries for predictive analytics

Integrations Required

  • Legacy financial systems (e.g., SAP, Oracle)
  • Third-party compliance and auditing tools
  • Client-specific data sources (telco, insurance)

Key Non-Functional Requirements

  • Horizontal scalability to handle variable transaction volumes
  • 99.99% uptime SLA with failover mechanisms
  • Subsecond response times for balance queries
  • Role-based access control and GDPR compliance
  • Cost-efficient cloud resource utilization

Estimated Business Impact

Enables clients to reduce operational costs by 40-60% through cloud efficiency, process transactions 10x faster than legacy systems, and rapidly deploy tailored financial solutions. Positions the platform as a competitive alternative to established vendors while supporting global expansion in telecom, insurance, and fintech sectors.

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