SG Span ‐ Meeting Notes - sanjaygupta-professional/test2 GitHub Wiki

Agile Capability Team Meeting Review

Date: November 11, 2024
Document Type: Meeting Review and Action Items

Attendees

  • Sanjay
  • Satish
  • Chandra
  • Suvinay
  • Guru
  • Amish
  • Amit
  • Rati

Main Themes

1. Building Assets for Agile Offerings

  • Team tasked with building assets for six agile offerings by end of December
  • Deliverables include:
    • Stage zero decks
    • Stage one decks
    • Stage two decks
    • Playbooks
    • Delivery assets
    • Enabling assets (learning paths)
    • Feedback loops

2. Focus on Borderless Delivery Model

  • Key aspects discussed:
    • Dynamics of distributed teams
    • Governance frameworks
    • Communication strategies
    • Performance metrics
    • Cultural considerations
    • Team coordination
    • Tool selection and implementation
    • Time zone management
    • Operational effectiveness

3. Leveraging GenAI

  • Primary objective: Integrate generative AI capabilities
  • Focus areas:
    • Process automation
    • Asset enhancement
    • Insight generation
    • Automated solution creation
  • Emphasis on identifying practical use cases

4. Sales and Solutioning Alignment

  • Collaborative approach with sales and solutions team
  • Key roles:
    • Reviewers for developed assets
    • Requirements providers
    • Strategic input on deliverables

Key Insights and Facts

Fresh Thinking Initiative

  • Emphasis on avoiding anchoring to existing practices
  • Encouragement of innovative approaches
  • Focus on creating original, unbiased solutions

Borderless Delivery Challenges

  • Identified key requirements:
    • Robust collaboration tools
    • Cultural alignment strategies
    • Distributed team management
    • Overhead optimization

Knowledge Management

  • Need for centralized knowledge repository
  • Proposed solutions:
    • Teams folder creation
    • Structured information organization
    • Accessible documentation

Borderless Delivery Model Naming

Proposed names under consideration:

  • "Global"
  • "Sage"
  • "Grow"
  • "Band"
  • "Borderless Agile Network"

Timeline Considerations

  • Target completion: December 2024
  • Team concerns about timeline feasibility
  • Need for efficient resource allocation

Client Engagement Updates

  • Diverse project portfolio
  • Common challenges identified
  • Practical insights for asset development

TOGAF Implementation

  • Development of Enterprise Agility Development Method (EADM)
  • Based on TOGAF framework
  • Focus on structured agile transition

Action Items

Immediate Actions

  1. Teams Folder Creation

    • Owners: Satish and Chandra
    • Purpose: Borderless Delivery Model materials organization
  2. Stage Zero Review

    • Owner: Satish
    • Task: Gather and review reference decks
  3. Resource Sharing

    • Owner: Amish
    • Deliverables:
      • GenAI use cases
      • Atlassian initiatives
      • Design Thinking workshops
  4. EADM Development

    • Owner: Amit
    • Tasks:
      • Update on development progress
      • Share TOGAF materials
  5. GenAI Initiative Planning

    • Owners: Sanjay and Amish
    • Task: Detailed discussion meeting

Next Steps

1. Information Gathering

  • Continue collecting data on six agile offerings
  • Organize and structure gathered information

2. Asset Development

  • Develop structured approach for asset creation
  • Incorporate sales and solutioning team feedback
  • Maintain quality standards

3. GenAI Integration

  • Explore automation opportunities
  • Finalize use cases
  • Begin implementation planning

4. Progress Tracking

  • Schedule regular follow-up meetings
  • Track deliverable completion
  • Address challenges proactively

Overall Assessment

Strengths

  • Strong team commitment
  • Clear focus on GenAI integration
  • Open communication channels
  • Collaborative approach

Challenges

  • Ambitious timeline
  • Knowledge management needs
  • Resource coordination

Success Factors

  • Continued open communication
  • Effective collaboration
  • Strategic GenAI implementation
  • Centralized knowledge management