Cloud-Based AI-Driven Robotic Process Automation Platform for Enterprise Workflow Transformation

The client’s initial automation platform lacked scalability to meet increasing customer demand and enterprise complexity, hindering rapid deployment of new functionalities. Inhouse teams lacked sufficient skills for robust development, affecting time-to-market and system reliability. Rapid team expansion and infrastructure limitations created a need for a cloud-based, flexible, and extensible automation environment with streamlined management and security features.

A large-scale enterprise specializing in automating complex, rule-based administrative workflows through intelligent automation, leveraging cloud, RPA, and AI technologies.

• Develop a cloud-native, scalable RPA platform capable of supporting increasing automation workloads and enterprise client bases.
• Implement a plugin architecture to facilitate seamless extension of system functionalities with new products without altering core code.
• Accelerate time-to-market for new automation features by establishing CI/CD pipelines and streamlined development workflows.
• Enhance user experience through an intuitive, modern UI for both end-users and administrators.
• Build integrated products such as automation orchestration, license management, AI-based document processing, computer vision applications, and digital assistants powered by machine learning.
• Ensure high system availability, security, and resource monitoring to support large enterprise environments.

• A unified automation orchestration platform supporting manual initiation and collaboration between digital and human workers, with role-based configuration and personalized interfaces.
• A license management module enabling generation, secure storage, and batch assignment of product licenses, ensuring high security and data protection.
• An AI-powered document processing tool combining OCR and machine learning for data extraction, validation, and structuring to enhance operational agility.
• A computer vision-powered application that captures and automates user workflows based on document analysis.
• A digital assistant that processes communication channels such as email, chat, and images in real-time to extract and convert data for system interactions, supported by machine learning algorithms.

• Enterprise systems for process automation and data exchange
• AI and ML service providers for document processing and digital assistance
• Security and license management systems
• Monitoring and resource management tools

• Support for high concurrency and large-scale automation workflows
• System availability of 99.9% or higher with minimal downtime
• Secure data handling adhering to industry best practices
• Rapid deployment cycles facilitated by CI/CD pipelines
• Responsive UI with optimal performance for end-users and administrators

The deployment of a scalable, extensible, and AI-enabled RPA platform is expected to significantly reduce time-to-market for new automation functionalities, improve process efficiency across large enterprise clients, increase automation adoption rates, and support operational growth. The platform's flexibility and high performance will enable handling increased workloads, connecting new product modules easily, and maintaining a competitive advantage in enterprise automation solutions.