Development of an AI-Driven Knowledge Management Platform for Enhanced Team Collaboration

The client faces difficulties in consolidating, organizing, and efficiently managing knowledge captured through screen recordings and videos. Traditional documentation methods are insufficient for handling large volumes of multimedia content that outpace text-based systems, leading to unstructured data silos and reduced accessibility for team members.

A mid to large-sized technology firm seeking to modernize its knowledge sharing and collaboration processes through multimedia and AI integration.

• Develop a comprehensive platform that seamlessly captures, structures, and manages multimedia knowledge content including video and audio recordings.
• Implement AI-powered automation for speech analysis, segmentation, and summarization to reduce manual effort.
• Create an intuitive interface for turning raw recordings into structured, searchable knowledge assets.
• Enable role-based access control and collaboration features within a cloud-based repository.
• Achieve improved knowledge retrieval efficiency and support team productivity enhancements.

• AI-powered speech recognition and segmentation to identify distinct topics within recordings
• Automated generation of structured notes and summaries from multimedia content
• Integration of an AI assistant capable of participating in meetings, recording discussions, and extracting key insights
• A cloud-based content repository with role-based access controls and tagging for easy navigation
• User-friendly interface for converting raw recordings into structured articles with contextually related paragraphs
• Search functionality across structured knowledge content

• Speech recognition APIs for accurate transcription
• AI modules for content analysis and summarization
• Authentication and role management systems
• Existing video/audio recording tools or platforms for content ingestion

• Scalability to handle increasing volumes of multimedia content
• High accuracy in speech transcription (target accuracy > 90%)
• Fast processing times for speech segmentation and summarization (minimum 95% success rate within acceptable latency)
• Robust security measures including role-based access and data encryption
• Reliable system uptime and availability to support remote teams

The new platform is expected to significantly enhance knowledge sharing efficiency by automating content structuring, reducing manual effort, and enabling rapid retrieval of information. It aims to improve team productivity, support scalable knowledge management, and reduce information silos, contributing to streamlined project workflows and better decision-making capabilities.