AI Scale: 12-Wk Implementation

Target Audience

• Mid-to-large enterprises with C-suite sponsorship
• Organizations aiming to scale AI across multiple functions and geographies

Key Deliverables

• AI Strategy and Roadmap (inclusive of broader Microsoft AI capabilities such as Azure, Power Platform and Microsoft 365 Copilot)
• Portfolio Backlog and Prioritization Matrix
• 3–5 Production-Ready AI Services per Wave
• Enterprise-Grade Data & AI Platform:
  • Secure, scalable, and compliant infrastructure for AI workloads
• Center of Excellence (CoE) Playbooks and Up-skilled Client Teams

Scope of Work and Activities

• Transformation Programme: Execute a structured, multi-workstream program to deliver high-quality AI solutions across the enterprise.
• AI Application Scaling: Scale multiple AI applications tailored to the organization’s business needs and AI maturity level.
• Data & AI Platform Implementation: Build and deploy a secure, scalable, and evolutive Data & AI platform leveraging Azure and broader Microsoft Data & AI services..
• Systems Integration: Integrate AI solutions into the existing IT landscape, following:
  • Hitachi Solutions best practices
  • UK Government AI Playbook guidelines
  • EU AI Act
• AI Governance and Ethics: Implement governance frameworks, review AI ethics and sustainability, and establish monitoring and recommendations processes.
• Change and Adoption Framework: Empower internal teams and key users for sustainable adoption and operational success.
• Comprehensive Test Strategy: Develop and apply a robust testing approach to ensure quality, performance, and compliance.