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COMPEL Body of Knowledge
O

Stage 2 of 6

Organize

Structure your responsible AI team, define roles and responsibilities, and establish the organizational framework for ongoing transformation. Build the human infrastructure that sustains transformation.

Strategic Objective

Design the AI operating model, establish role-based governance structures, and build the organizational muscle for sustainable AI transformation.

Operational Objective

Deliver an approved operating model with RACI assignments, a policy baseline, workforce readiness plans, and CoE charter with embedded governance.

Organize — Stage Flow

  1. Inputs

    • from calibrate: Maturity Baseline and Gap Analysis
    • from calibrate: Stakeholder Map
    • from calibrate: Transformation Success Criteria
    • from calibrate: Prioritized Use Case Backlog
    • Target Operating Model Preferences
    • Governance Committee Charter Template
    • RACI Conventions

  2. Activities (12)

    • Center of Excellence (CoE) establishment
    • Committee and oversight body formation
    • Role-based training program design
    • Workflow redesign for AI augmentation
    • Communication and change management planning
    • Cross-functional collaboration design
    • RACI definition for AI decisions
    • Skills gap analysis and workforce planning
    • Budget and resource allocation
    • Agent governance committee charter
    • Vendor governance policy drafting
    • AI procurement standards development

  3. Outputs (10)

    • CoE charter with roles and responsibilities
    • Oversight committee structure
    • Training curriculum and competency map
    • Redesigned workflow blueprints
    • Change management roadmap
    • RACI for AI Decisions
    • Training Roadmap with certification targets
    • Oversight Body Terms of Reference
    • Agent governance escalation procedures and RACI
    • AI vendor governance policy and procurement standards

  4. Handoffs

    • → Model: Target operating model
    • → Model: Governance structure and committee charters
    • → Model: Capability roadmap
    • → Model: CoE charter and team structure
    • → Model: Training plan

Inputs

External inputs (3)

  • Target Operating Model Preferences

    Executive preferences on centralization versus federation, sourcing (build vs buy vs partner), and geographic footprint. Organize uses these to design a CoE and operating model that fits the organization's structural reality.

    TOGAF Phase B (Business Architecture)McKinsey Operating Model Framework

  • Governance Committee Charter Template

    The organization's standard charter format and approval conventions for oversight committees. Organize uses this to quickly stand up AI-specific governance bodies inside existing corporate governance rhythms.

    COBIT 2019 (Governance System)ISO 38500

  • RACI Conventions

    The organization's standard notation and governance rules for RACI, DACI, or RAPID models. Organize uses these conventions so AI decision rights integrate cleanly with existing accountability frameworks.

    PMBOK 7 (Stakeholder Performance Domain)RACI/DACI/RAPID models

Handoff inputs from prior stages (4)

  • Maturity Baseline and Gap Analysis

    from Calibrate

    The 18-domain maturity scorecard and gap analysis produced by Calibrate. Organize uses this to size the CoE, prioritize training investments, and focus change management on the weakest domains.

    COMPEL Stage — Calibrate

  • Stakeholder Map

    from Calibrate

    The stakeholder landscape identified during Calibrate. Organize consumes this to staff oversight committees, assign RACI roles, and tailor change communications to each audience.

    COMPEL Stage — Calibrate

  • Transformation Success Criteria

    from Calibrate

    The measurable outcomes that define a successful transformation, set during Calibrate. Organize uses these criteria to align CoE OKRs, training competency targets, and committee charters to outcomes rather than activity.

    COMPEL Stage — Calibrate

  • Prioritized Use Case Backlog

    from Calibrate

    The ranked portfolio of AI use cases produced by Calibrate. Organize uses this to shape the operating model and capacity plan around the actual work the CoE will enable.

    COMPEL Stage — Calibrate

Activities

  • → Center of Excellence (CoE) establishment
  • → Committee and oversight body formation
  • → Role-based training program design
  • → Workflow redesign for AI augmentation
  • → Communication and change management planning
  • → Cross-functional collaboration design
  • → RACI definition for AI decisions
  • → Skills gap analysis and workforce planning
  • → Budget and resource allocation
  • → Agent governance committee charter
  • → Vendor governance policy drafting
  • → AI procurement standards development

Outputs & Deliverables

  • ✓ CoE charter with roles and responsibilities
  • ✓ Oversight committee structure
  • ✓ Training curriculum and competency map
  • ✓ Redesigned workflow blueprints
  • ✓ Change management roadmap
  • ✓ RACI for AI Decisions
  • ✓ Training Roadmap with certification targets
  • ✓ Oversight Body Terms of Reference
  • ✓ Agent governance escalation procedures and RACI
  • ✓ AI vendor governance policy and procurement standards

Key Questions

  • ? Who needs to be involved in responsible AI?
  • ? How should we structure our oversight bodies?
  • ? What training is needed across roles?
  • ? What is our change readiness score across business units?
  • ? Who governs autonomous AI agents and what are the escalation paths?

Gate / Exit Criteria

  • ⚠ Operating model blueprint approved by executive sponsor
  • ⚠ RACI matrix complete for all COMPEL stage activities
  • ⚠ CoE charter ratified with defined roles and responsibilities
  • ⚠ Policy baseline established covering minimum regulatory requirements
  • ⚠ Workforce readiness plan approved with training schedule
  • ⚠ Operational readiness assessment completed across all 10 dimensions

Related Articles (148)

Articles from the Body of Knowledge that are tagged to the Organize stage or are lifecycle-wide and apply here.

See all 148 related articles →

Related Knowledge Domains

Cross-Cutting Concerns

Value Realization
Quantify and track business value across the lifecycle.
Operational Readiness
Platform, process, and people readiness for production AI.
Agent Governance
Autonomy, safety, and control for agentic AI systems.