The People Layer & RACI: Defining Clear Ownership Across CoEs, Delivery Teams, and Verticals

December 2, 2026

~13 min read

Part 9 of 10: The people architecture of a scaled AI practice. Role definitions, RACI models across CoEs, delivery teams, industry verticals, and customer counterparts — and the ownership gaps that cause most AI programmes to stall.

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AI PracticeRACIPeople StrategyCoERole DesignTalent Architecture

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In this series

The AI Practice Playbook: From Zero to Agentic at Scale

The Maturity Map: Why Your AI Practice and Your Partner's AI Practice Are Never at the Same Level — and Why That's the Whole Problem

Nine Starting Positions: Real-World Scenarios Mapped to the Maturity GridAug 26

Starting From Zero (L0 → L2): Chartering a New AI Practice with No Existing BaseSep 9

Integrating AI Into an Existing Cloud Practice (L2 → L3): Reuse Before You BuildSep 23

Industrializing an Existing Practice (L3 → L4): From Project-Funded to Platform-FundedOct 7

Operating Models: Hub, Federated, or Hybrid — Choosing the Right Structure Per Grid CellOct 21

Delivery Models & Engagement Structures: Practice-as-a-Service, Pods, and Co-Innovation LabsNov 4

The Business Case & Economics: Budget Bands, Sponsor Personas, and Realistic TimelinesNov 18

The People Layer & RACI: Defining Clear Ownership Across CoEs, Delivery Teams, and VerticalsDec 2

The 12–24 Month Master Roadmap: Synthesizing the Playbook Into an Execution-Ready BlueprintDec 16

View all series

The Author

AIOrbitX

18 years bridging enterprise P&L and production-scale AI. GM · AI Product Leader · Enterprise Architect.

linkedin.com/in/sai4cloud →

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GTM & Tech Leadership

The Business of Tech

Technical Presales & Solutions Architecture

Business Strategy & Cloud Economics

The Maturity Map: Why Your AI Practice and Your Partner's AI Practice Are Never at the Same Level — and Why That's the Whole Problem

14 min read

Business Strategy & Cloud Economics

Nine Starting Positions: Real-World Scenarios Mapped to the Maturity Grid

~15 min read