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Development of a Scalable Mobile Personal Finance Advisor with Advanced Security and Feature Flexibility

netguru.com

Financial services

Information technology

Challenges in Developing a Data-Intensive Financial Advisory Platform

Need to create an intelligent financial advisor bot capable of handling complex data processing while maintaining bank-level security for direct account management. Requires scalable infrastructure to support continuous feature development and seamless user experience.

About the Client

A mobile personal finance advisor startup focused on helping users save money for priority goals through AI-driven financial guidance

Objectives for My Dobot's Financial Advisor Application

Transition from proof-of-concept to market-ready solution
Establish scalable architecture for future feature integration
Implement robust security framework for financial data protection
Accelerate feature development cycles to maintain market momentum

Core Functional Requirements for Financial Advisory Platform

Real-time personalized financial advice engine
Secure bank account aggregation and management
Dynamic savings goal customization interface
Modular feature architecture for rapid scalability

Technology Stack Requirements

Mobile development frameworks (React Native)

Cloud-native backend architecture

Advanced data processing pipelines

Enterprise-grade security protocols

Critical System Integrations

Open Banking APIs (Plaid/TrueLayer)
Payment processing gateways
Financial data analytics platforms
User authentication services

Non-Functional Requirements

Horizontal scalability for 1M+ users
Sub-200ms API response times
PCI-DSS compliance
99.99% system uptime SLA

Expected Business Impact of Enhanced Financial Advisory Platform

Position My Dobot as a leading fintech solution through rapid feature deployment capabilities, achieve 30% monthly user growth through superior security and personalized experiences, and establish foundation for $50M AUM within 18 months post-launch.