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AI Implementation Workstream (WS3)

The implementation workstream manages the development and deployment of AI solutions across the enterprise.

Workstream Objectives​

Development Goals​

  • Deliver AI solutions
  • Ensure technical quality
  • Build scalable systems
  • Optimize performance

Operational Goals​

  • Manage implementations
  • Drive adoption
  • Maintain stability
  • Enable growth

Key Responsibilities​

Use Case Development​

  • Requirements gathering
  • Solution design
  • Prototype development
  • User feedback integration

Agile Delivery​

  • Sprint planning
  • Development cycles
  • Quality assurance
  • Deployment management

Integration​

  • System integration
  • API development
  • Testing coordination
  • Performance optimization

Sustainability​

  • Monitoring setup
  • Maintenance procedures
  • Documentation
  • Knowledge transfer

Integration Points​

Technical Coordination​

  • WS1: Compliance adherence
  • WS2: Architecture alignment
  • WS4: User training coordination
  • WS5: Performance monitoring

Process Alignment​

  • Development Standards
  • Quality Controls
  • Release Management
  • Support Procedures