Development of an AI-Driven Collaborative Virtual Chat Platform with Granular Knowledge Sharing

The client faces difficulties in delivering efficient, secure, and personalized virtual communication. Employees need advanced tools to manage personal and shared knowledge bases, with precise control over information sharing across various groups. Current systems lack intelligent interaction features, leading to decreased productivity and suboptimal user engagement.

A mid-to-large sized enterprise specializing in digital communication solutions, aiming to enhance virtual collaboration and knowledge management through AI-powered chat capabilities.

• Implement an AI-powered chat application that seamlessly integrates AI conversational capabilities and messaging features.
• Enable users to manage and share their personal and group knowledge bases with fine-grained permission controls.
• Reduce response times and improve customer query resolution efficiency by 20%.
• Increase user engagement by 30% through improved communication experience.
• Establish a scalable, secure, and flexible platform foundation for future feature enhancements and business expansion.

• Private & group chat capabilities supporting real-time messaging.
• Video call integration with WebRTC for seamless virtual meetings.
• Personal knowledge base management with customizable security and sharing permissions.
• An AI assistant with RAG (Retrieval-Augmented Generation) pipeline to formulate and send messages on behalf of users.
• Configurable AI instructions per communication group, utilizing assistants, threads, and messages for tailored interactions.

• OpenAI API for advanced conversational AI and copilots
• Azure services for data handling and messaging infrastructure
• Video calling technologies via WebRTC
• Authentication and authorization modules to ensure security and granular permissions

• Ensure data security and privacy with granular permission controls
• Scalable architecture to support increasing user load and concurrent conversations
• High system availability and reliability for real-time communication
• Response time targets to enable prompt AI interactions and messaging
• Compliance with industry data security standards

The implementation of this AI-driven virtual chat platform is projected to increase user satisfaction and engagement by approximately 30%, reduce response times for customer queries by 20%, and lay a robust foundation for future feature development and business growth. Enhanced collaboration and secure knowledge sharing aim to improve operational efficiency and support strategic expansion initiatives.