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AI Architecture & Data Workstream (WS2)

The architecture workstream designs and implements the technical foundation for enterprise AI capabilities.

Workstream Objectives​

Technical Goals​

  • Design scalable AI architecture
  • Implement security frameworks
  • Create technical standards
  • Enable system integration

Data Goals​

  • Establish data management practices
  • Ensure data quality
  • Optimize data flows
  • Secure data access

Key Responsibilities​

Process Design​

  • Architecture blueprints
  • System integration patterns
  • Data flow design
  • Security architecture

Technology Analysis​

  • Platform evaluation
  • Tool selection
  • Vendor assessment
  • Technology roadmap

Data Management​

  • Data governance
  • Quality frameworks
  • Storage solutions
  • Access controls

Documentation​

  • Technical specifications
  • Process documentation
  • Security protocols
  • Compliance records

Integration Points​

Technical Alignment​

  • WS1: Governance alignment
  • WS3: Implementation support
  • WS4: Technical training support
  • WS5: Performance monitoring

Process Alignment​

  • Architecture Reviews
  • Security Assessments
  • Data Quality Checks
  • Integration Testing