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COMPEL Specialization Stream · AITM-OMR

COMPEL Academy — AI Operating Model Associate

Professional certification for practitioners who can assess and uplift an enterprise AI operating model, including roles, decision rights, governance topology, and scaling pathways.

Associate Business Track 14 hours 14 CE credits

Profession title: AI Operating Model Associate

Audience: Transformation leads, operating-model architects, and program managers scaling AI across an enterprise.

AI Operating Model Associate badge

Enroll in the AITM-OMR track

Registration, enablement, and the proctored assessment are delivered through compel.one. Seats open continuously.

Register on compel.one →

Prerequisite chain

  1. AITF AI Transformation Foundations
  2. → AITM-OMR (this credential)

Learning outcomes

The learning journey is sequenced to cover each outcome below in order. Every article in the journey maps to at least one outcome.

  1. 1. Assess an enterprise AI operating model against COMPEL benchmarks.
  2. 2. Design decision rights and governance topology for scale.
  3. 3. Plan a CoE evolution path across the COMPEL lifecycle.

Body of Knowledge articles (14)

Module M1.4 (14 items)

  1. Article
    What an AI Operating Model Is
    M1.4-Art01
  2. Article
    Operating-Model Archetypes
    M1.4-Art02
  3. Article
    Capability Mapping and AI-Impact Ranking
    M1.4-Art03
  4. Article
    Centre of Excellence Design
    M1.4-Art04
  5. Article
    Decision Rights, Accountability, and Separation of Duties
    M1.4-Art05
  6. Article
    Funding and Cost-to-Serve
    M1.4-Art06
  7. Article
    Talent Models and Partner Ecosystems
    M1.4-Art07
  8. Article
    Integration with Existing Frameworks
    M1.4-Art08
  9. Article
    Operating-Model Maturity and Evolution
    M1.4-Art09
  10. Article
    The Operating Model Blueprint
    M1.4-Art10
  11. Lab
    Lab: Design a CoE for a 5,000-Person Organization
    M1.4-Art51
  12. Lab
    Lab: Build a Decision-Rights Matrix for an AI Risk Escalation
    M1.4-Art52
  13. Case Study
    Case Study: DBS Bank's Hybrid AI Operating Model
    M1.4-Art61
  14. Template
    AI Operating Model Blueprint Template
    M1.4-Art71

Competencies demonstrated

  • → Operating-model assessment and gap analysis
  • → Decision rights and governance topology
  • → Center of Excellence evolution paths
  • → Scaling from pilots to enterprise-wide deployment

Exam blueprint summary

Assessment
Non-proctored assessment
Passing score
70% passing score
Portfolio
Not required
Renewal
Every 24 months
Recommended hours
14
CE credits
14

Linked Core Mastery context

The Specialization Stream assumes AITF Foundations fluency. These Core Mastery resources are the recommended grounding before entering the AITM-OMR learning journey.

Formal credential definition

The machine-readable Open Badges 3.0 / W3C Verifiable Credential definition for AITM-OMR is published at /credential/aitm-operating-model . HR platforms and AI citation engines can fetch the JSON-LD document at /credential/aitm-operating-model.json .