Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

Here you can add a description about your company or product

© Copyright 2025 Many.Dev. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Cloud-Based AI RPA Platform Expansion with Scalable Plugin Architecture
  1. case
  2. Cloud-Based AI RPA Platform Expansion with Scalable Plugin Architecture

This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Cloud-Based AI RPA Platform Expansion with Scalable Plugin Architecture

nix-united.com
Information technology
Business services
Financial services

Enterprise Automation Scalability Challenges

Existing RPA platform lacked scalability to handle growing enterprise demand, required rapid functionality extension, and faced internal skill gaps in robust development practices. Needed to accelerate time-to-market while maintaining system stability during team expansion.

About the Client

Global technology consulting firm specializing in AI-driven automation solutions for enterprise clients

Platform Modernization Goals

  • Migrate core system to cloud-native architecture
  • Implement CI/CD pipelines for rapid deployment
  • Develop modular plugin architecture for extensibility
  • Create intuitive enterprise-grade UI/UX
  • Integrate AI/ML capabilities for intelligent automation
  • Scale engineering team from 15 to 60+ members without productivity loss

Core System Capabilities

  • Collaborative digital worker automation platform
  • Smart license management system
  • Azure-based document processing with OCR/ML
  • Computer vision process capture application
  • Real-time ML-powered digital assistant
  • Centralized system monitoring dashboard

Technology Stack Requirements

Azure
Angular
.NET
ReactJS
ASP.NET Core
EF
Azure SQL

System Integration Needs

  • Azure Cognitive Services
  • Enterprise identity providers
  • Legacy terminal emulator systems
  • Third-party document management systems
  • ML model deployment pipelines

Operational Requirements

  • Horizontal scalability for 10x user growth
  • 99.99% system availability SLA
  • Role-based access control (RBAC)
  • End-to-end encryption for compliance
  • Modular architecture for zero-downtime updates

Business Transformation Outcomes

Enables enterprise clients to automate complex workflows with hybrid digital workers, reduces process automation time by 60%, supports rapid product innovation through plugin architecture, and establishes foundation for AI-driven digital transformation across industries.

More from this Company

Modernization of Public Mobility Platform with Cross-Platform Applications
Automated Testing Solution for Legacy Virtual Desktop System
Modernization of Enterprise Collaboration Platform for Pharmaceutical Data Management
Real-Time Road Condition Monitoring and Vehicle Telemetry SaaS Platform
SEO-Driven Website Optimization for Pharmaceutical Provider to Enhance Organic Traffic and Customer Engagement