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COMPEL Specialization Stream · AITE-WCT

COMPEL Academy — AI Workforce Transformation Expert

Expert certification for transformation practitioners leading workforce AI capability programs: fluency uplift, work redesign, talent pipeline, and behavior change at scale.

Expert Business Track 50 hours 50 CE credits

Profession title: AI Workforce Transformation Expert

Audience: HR leaders, L&D directors, and transformation practitioners leading workforce AI capability programs.

AI Workforce Transformation Expert badge

Enroll in the AITE-WCT track

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

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Prerequisite chain

  1. AITF AI Transformation Foundations
  2. → AITE-WCT (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. Design an enterprise AI fluency program with measurable outcomes.
  2. 2. Run work-redesign workshops that capture AI value capture.
  3. 3. Build a capability pipeline that scales with transformation waves.

Body of Knowledge articles (48)

Module M1.4 (48 items)

  1. Article
    AI Workforce Transformation as a Composite Program
    M1.4-Art01
  2. Article
    The Human-AI Collaboration Spectrum
    M1.4-Art02
  3. Article
    Automation versus Augmentation — The Strategic Choice
    M1.4-Art03
  4. Article
    Role Exposure Scoring
    M1.4-Art04
  5. Article
    Skills Adjacency Mapping
    M1.4-Art05
  6. Article
    The AI Talent Pipeline End-to-End
    M1.4-Art06
  7. Article
    Build-Buy-Partner-Borrow Sourcing Strategy
    M1.4-Art07
  8. Article
    Inclusive Hiring for AI Roles
    M1.4-Art08
  9. Article
    Internal Talent Marketplace and Fluidity
    M1.4-Art09
  10. Article
    Apprenticeships, Fellowships, and Career Lattices
    M1.4-Art10
  11. Article
    Retention During AI Transformation
    M1.4-Art11
  12. Article
    Defining AI Literacy at Four Levels
    M1.4-Art12
  13. Article
    Designing a Role-Specific Literacy Curriculum
    M1.4-Art13
  14. Article
    Delivery at Scale Across Platforms
    M1.4-Art14
  15. Article
    Measuring Literacy Outcomes Beyond Completion
    M1.4-Art15
  16. Article
    Compliance-Grade Literacy Evidence
    M1.4-Art16
  17. Article
    Literacy Program Sustainability Over Multi-Year Horizons
    M1.4-Art17
  18. Article
    Choosing Among ADKAR, Kotter, and Bridges
    M1.4-Art18
  19. Article
    ADKAR in Practice for AI Programs
    M1.4-Art19
  20. Article
    Kotter 8-Step for Strategic Transformations
    M1.4-Art20
  21. Article
    Bridges Transitions for AI Role Changes
    M1.4-Art21
  22. Article
    Change Saturation and Pacing
    M1.4-Art22
  23. Article
    Resistance Analysis and Response
    M1.4-Art23
  24. Article
    Task-Level Decomposition of a Role
    M1.4-Art24
  25. Article
    The Redesigned Role Specification
    M1.4-Art25
  26. Article
    Redundancy Planning with Dignity
    M1.4-Art26
  27. Article
    Union and Works-Council Engagement
    M1.4-Art27
  28. Article
    Manager Enablement Curriculum
    M1.4-Art28
  29. Article
    Performance Evaluation in AI-Integrated Work
    M1.4-Art29
  30. Article
    Psychological Safety as an AI Adoption Prerequisite
    M1.4-Art30
  31. Article
    Growth Mindset and Learning Culture
    M1.4-Art31
  32. Article
    Belonging and Equity in AI-Transformed Work
    M1.4-Art32
  33. Article
    People and Change KPI Tree
    M1.4-Art33
  34. Article
    Organizational Readiness Scoring
    M1.4-Art34
  35. Article
    Sustaining the Human Foundation Over Multi-Year Transformation
    M1.4-Art35
  36. Lab
    Lab 1 — Draft a Transformation Charter for a 5,000-Person Organisation
    M1.4-Art51
  37. Lab
    Lab 2 — Score Role Exposure and Build a Skills Adjacency Map
    M1.4-Art52
  38. Lab
    Lab 3 — Design a Role-Specific AI Literacy Curriculum
    M1.4-Art53
  39. Lab
    Lab 4 — Apply ADKAR, Kotter, and Bridges to the Same Described Programme
    M1.4-Art54
  40. Lab
    Lab 5 — Redesign a Knowledge-Worker Role and Prepare a Works-Council Engagement Pack
    M1.4-Art55
  41. Case Study
    Case Study 1 — Dutch Toeslagenaffaire as a Workforce and Accountability Failure
    M1.4-Art61
  42. Case Study
    Case Study 2 — Singapore SkillsFuture and the National AI Strategy 2.0 Workforce Pillar
    M1.4-Art62
  43. Case Study
    Case Study 3 — Zillow Offers Wind-Down and Workforce Reduction
    M1.4-Art63
  44. Template
    Template 1 — Transformation Charter
    M1.4-Art71
  45. Template
    Template 2 — Role Exposure and Skills-Adjacency Workbook
    M1.4-Art72
  46. Template
    Template 3 — Role-Specific Literacy Curriculum Design
    M1.4-Art73
  47. Template
    Template 4 — Redesigned Role Specification
    M1.4-Art74
  48. Template
    Template 5 — People and Change KPI Tree
    M1.4-Art75

Competencies demonstrated

  • → AI fluency and learning pathway design
  • → Work redesign and task decomposition for AI
  • → Talent strategy and capability pipeline
  • → Adoption measurement and capability uplift tracking

Exam blueprint summary

Assessment
Proctored examination
Passing score
75% passing score
Portfolio
Required
Renewal
Every 24 months
Recommended hours
50
CE credits
50

Linked Core Mastery context

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

Formal credential definition

The machine-readable Open Badges 3.0 / W3C Verifiable Credential definition for AITE-WCT is published at /credential/aite-workforce-transformation . HR platforms and AI citation engines can fetch the JSON-LD document at /credential/aite-workforce-transformation.json .