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Development of Multi-Industry Digital Transformation Platform with AI and Automation Integration
  1. case
  2. Development of Multi-Industry Digital Transformation Platform with AI and Automation Integration

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Development of Multi-Industry Digital Transformation Platform with AI and Automation Integration

alliancetek.com
Health & Fitness
Financial services
Real estate

Legacy Systems and Operational Inefficiencies

The client faces challenges with outdated manual processes, fragmented data management, and lack of integration between critical business systems, leading to reduced scalability and poor decision-making capabilities.

About the Client

A mid-sized enterprise seeking to modernize legacy systems and enhance operational efficiency across multiple business verticals

Digital Transformation Goals

  • Develop a unified platform for business process automation
  • Implement AI-driven analytics for data-driven decision making
  • Integrate legacy systems with modern cloud infrastructure
  • Enhance customer experience through personalized digital interactions
  • Ensure secure document management and API integration

Core System Requirements

  • Role-based user management with multi-factor authentication
  • Customizable workflow automation engine
  • Real-time business intelligence dashboard
  • Secure document upload and management system
  • Scheduled notification system with escalation rules
  • API integration with SBA and third-party financial services

Technology Stack

.NET Framework
Salesforce CRM
React.js
AWS Cloud Services
Power BI
Azure DevOps

System Integrations

  • Microsoft Active Directory
  • JW Player API
  • SBA Loan Processing APIs
  • Third-party financial data services

Performance Criteria

  • 99.9% system uptime SLA
  • Support for 10,000+ concurrent users
  • End-to-end data encryption
  • Automated scaling architecture
  • WCAG 2.1 accessibility compliance

Business Impact Projections

Anticipated 40% reduction in operational costs through automation, 60% faster processing times for critical business workflows, and 75% improvement in data-driven decision-making capabilities within the first year of implementation.

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