We help companies turn digital and AI ambition into scalable execution by assessing organizational readiness, defining required changes across processes, roles, data, architecture and governance, and building a practical roadmap for implementation.
 

Expected Benefits

  • Increase implementation confidence – Leadership gains a clear view of readiness gaps, risks and prerequisites before major investments or rollout decisions are made
  • Reduce delivery risk – Process, role, data, architecture and governance gaps are addressed upfront, before they create delays, rework or failed pilots
  • Accelerate time to value – A clear target setup, prioritized roadmap and quick wins help move digital and AI initiatives from ambition to scalable execution
     

Key Deliverables & Activities

1. Digital & AI Use Case Readiness

Key deliverables:

  • Use Case Readiness Assessment
  • Value & Impact Logic
  • Use Case Prioritization View

Key Activities:

  • Review existing digital and AI ambitions, ideas and use cases
  • Clarify business problems, expected outcomes and value drivers
  • Assess feasibility, complexity and implementation prerequisites
  • Prioritize use cases based on value and readiness
  • Identify quick wins and high-risk initiatives 

2. Operating Model Readiness

Key deliverables:

  • Operating Model Assessment
  • Target Workflow & Accountability Design
  • Digital & AI Support Model

Key Activities:

  • Assess current roles, ownership, workflows and decision-making logic
  • Identify workflow fragmentation, accountability gaps and handover issues
  • Define future-state workflows and responsibility allocation
  • Clarify decision rights across business, IT, data and operational teams
  • Define the ownership, maintenance and continuous improvement model after go-live

3. Data, Technology & Governance Readiness

Key deliverables:

  • Data & Integration Readiness View
  • Target Architecture Direction
  • Digital & AI Governance Model

Key Activities:

  • Review data sources, quality issues and ownership
  • Assess system landscape and integration constraints
  • Identify architecture limitations and technology dependencies
  • Define governance, risk and decision-making requirements
  • Clarify ownership between business, IT, data and external partners