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Development of AI-Powered Coaching Program Platform for European Business Schools
  1. case
  2. Development of AI-Powered Coaching Program Platform for European Business Schools

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Development of AI-Powered Coaching Program Platform for European Business Schools

tallium.com
Education
Information technology

Challenges in Coaching Program Management

European business schools face difficulties in creating customized coaching programs, efficiently matching students with suitable coaches, and tracking learning progress across multiple stakeholders with evolving requirements under tight deadlines.

About the Client

Digital platform connecting business schools with AI-driven coaching program management and participant matching

Platform Development Goals

  • Create a scalable web platform for designing modular coaching programs
  • Implement AI-driven matching algorithm for coach-student pairing
  • Develop integrated reporting and progress visualization tools
  • Enable seamless calendar integration for session planning
  • Support multi-tenancy architecture for different business schools

Core System Capabilities

  • Customizable questionnaire builder for participant profiling
  • Automated coach-student matching algorithm
  • Drag-and-drop course curriculum builder with activity modules
  • Google Calendar integration for session scheduling
  • Real-time progress dashboards for students, coaches, and administrators
  • Automated report generation for learning outcomes
  • Multi-channel notification system (platform/email)

Technology Stack

React
Laravel
DigitalOcean

External System Integrations

  • Google Calendar API
  • SendGrid Email API
  • Pusher Realtime Notifications

System Quality Attributes

  • Horizontal scalability for concurrent coaching programs
  • Real-time data synchronization across stakeholders
  • Role-based access control for sensitive educational data
  • High availability with 99.9% uptime SLA

Expected Business Outcomes

Enables business schools to deliver personalized coaching programs with 40% faster participant matching, reduces administrative overhead by 60% through automated scheduling, and improves learning outcomes through data-driven progress tracking across multiple institutions.

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