Reading Paths

Reading Paths

Reading Paths

This playbook covers 45 pages across 12 sections. Not every page is equally relevant to every role. These curated paths guide you through the pages most relevant to your responsibilities, in the sequence that builds understanding most efficiently.

For CIOs: Building the AI Operating System

You own the technology organization and need to design the infrastructure, governance, and team structures that make enterprise AI work at scale.

  1. Structural Models -- choose the right organizational structure
  2. Capability Stack -- understand what you are building
  3. Governance Architecture -- design governance as infrastructure
  4. Control Architecture -- the technical control plane
  5. Measurement Design -- prove value to the business
  6. 12-Month Roadmap -- sequence the transformation

For CEOs and Business Leaders: The Strategic Case

You approve budgets, set priorities, and need to understand why AI programs fail and what organizational changes are required.

  1. The Problem -- why most AI programs fail
  2. What Transformation Means -- what is actually required
  3. Use Case Prioritization -- where to concentrate investment
  4. Financial Linkage -- connecting AI to P&L
  5. Board Reporting -- what the board needs to see
  6. Case Studies -- patterns from real transformations

For CDOs: Data as AI Foundation

You own data strategy and need to ensure the data foundation supports AI at enterprise scale.

  1. Data Readiness -- assess your data foundation
  2. Capability Stack -- where data fits in the AI architecture
  3. Knowledge Architecture -- managing organizational knowledge for AI
  4. Governance Architecture -- data governance within AI governance
  5. Regulatory Readiness -- data-related compliance requirements
  6. Control Architecture -- audit, lineage, and data lifecycle controls

For CAIOs: Running the AI Function

You own the AI program end-to-end and need the operating model, governance, and measurement frameworks to deliver results.

  1. The CAIO Mandate -- defining the role and authority
  2. Decision Rights -- who decides what
  3. Operating Architecture -- team structure and RACI
  4. Agent Governance -- governing autonomous AI
  5. Phase Gates -- transformation checkpoints
  6. Measurement Design -- proving AI value