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.

Development of AI-Powered Collaborative Chat Platform with Granular Knowledge Management

reenbit

Information technology

eCommerce

Health & Fitness

Challenges in Implementing Secure AI-Driven Communication Platform

Need to create an AI-powered chat application with advanced knowledge management capabilities, enabling users to securely control AI-assisted information sharing across multiple groups while maintaining strict data privacy and operational efficiency.

About the Client

Innovative technology company specializing in AI-driven communication solutions for enterprise and consumer markets

Objectives for AI Chat Application Development

Enhance user satisfaction through intelligent conversational AI capabilities
Reduce time spent on communication tasks by 20% through AI automation
Improve brand perception as an industry innovator in communication technology
Establish foundation for future AI feature expansion and market growth

Core System Functionalities and Key Features

Private and group chat functionality with AI-assisted message formulation
Video conferencing with WebRTC integration
Personal knowledge base management with customizable security controls
AI assistant with RAG pipeline for contextual responses
Granular permission system for group-specific AI knowledge sharing

Technology Stack Requirements

.NET

SQL Server

Microsoft Azure DevOps

Azure SignalR

Semantic Kernel

RAG (Retrieval-Augmented Generation)

Critical System Integrations

OpenAI API (GPT-3 via Assistants API)
Azure OpenAI SDK
WebRTC for real-time communication
Azure SignalR for real-time messaging

Non-Functional Requirements

Enterprise-grade data security and encryption
High scalability for concurrent users
Low-latency real-time communication
99.9% system reliability SLA
Role-based access control (RBAC) for permissions

Expected Business Impact of AI-Powered Chat Platform

Anticipated 20% productivity increase through AI automation, 30% growth in user engagement metrics, and strengthened market position as communication industry innovators, with measurable improvements in customer satisfaction scores and operational efficiency.