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Development of AI-Powered Meeting Productivity Platform
  1. case
  2. Development of AI-Powered Meeting Productivity Platform

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Development of AI-Powered Meeting Productivity Platform

vilmate
Business services
Information technology
Telecommunications

Inefficient Meeting Follow-Up and Information Retention

Organizations struggle to retain critical insights from business conversations due to human factors and lack of effective tracking tools. This leads to poor follow-up, missed action items, and reduced meeting effectiveness despite significant time investments.

About the Client

AI-powered voice collaboration platform for enterprise meeting optimization

Enhance Meeting Effectiveness through AI-Driven Insights

  • Develop AI-powered platform to capture and organize meeting insights
  • Implement real-time conversation intent analysis
  • Create cross-platform mobile applications for meeting management
  • Ensure seamless integration with enterprise communication systems
  • Maintain strict adherence to data security and privacy standards

Core Collaboration Platform Requirements

  • Real-time voice transcription with speaker identification
  • Automated key insight extraction using NLP
  • Action item detection and task assignment
  • Cross-platform mobile applications (iOS/Android)
  • Meeting summary generation with timestamps
  • Integration with calendar and project management tools
  • Role-based access control and data encryption

Technology Stack Requirements

Ruby
Vue.js
Native iOS (Swift)
Native Android (Kotlin)

System Integration Requirements

  • Cisco Webex API integration
  • Cloud-based machine learning infrastructure
  • Enterprise calendar systems (Google Calendar, Outlook)
  • Single Sign-On (SSO) providers

Operational Requirements

  • Enterprise-grade data encryption (AES-256)
  • 99.9% system uptime SLA
  • Scalable cloud architecture for global deployment
  • Multi-tenancy support with resource isolation
  • Compliance with GDPR and SOC 2 standards

Improved Meeting Productivity and Organizational Efficiency

Implementation of AI-powered meeting insights will reduce post-meeting follow-up time by 40%, increase action item completion rates by 35%, and provide measurable ROI through improved organizational knowledge retention and decision-making efficiency.

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