Skip to main content
COMPEL Body of Knowledge

The COMPEL Lifecycle

Enterprise AI transformation unfolds across six stages. Each stage has a clear purpose, mandatory artifacts, exit criteria, and handoffs to the next stage. Together, they form a continuous improvement loop from baseline assessment through operational learning.

COMPEL Stage Cycle The six COMPEL stages arranged as a continuous loop: Calibrate, Organize, Model, Produce, Evaluate, Learn. Learn feeds back into Calibrate forming the continuous improvement cycle. COMPEL Continuous Loop C Calibrate O Organize M Model P Produce E Evaluate L Learn
Hexagonal diagram of the six COMPEL stages forming a continuous cycle.

See the full Big Picture →

  1. C

    Calibrate

    Assess your organization's current AI maturity, discover shadow AI usage, and establish baselines for transformation readiness. This foundational stage ensures you understand where you are before charting where you need to go.

    12
    activities
    12
    outputs
    32
    articles
  2. O

    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.

    12
    activities
    10
    outputs
    21
    articles
  3. M

    Model

    Design and develop your transformation frameworks, policies, and AI system registry. Create the models and blueprints that define how AI should be managed responsibly in your specific context.

    19
    activities
    15
    outputs
    45
    articles
  4. P

    Produce

    Implement controls, build compliance processes, and produce the operational artifacts needed for day-to-day operations. Turn designs into working processes.

    15
    activities
    10
    outputs
    45
    articles
  5. E

    Evaluate

    Assess the effectiveness of your transformation program through audits, gate reviews, and re-attestation cycles. Determine what is working and what needs adjustment.

    17
    activities
    13
    outputs
    37
    articles
  6. L

    Learn

    Extract insights from transformation operations, measure ROI, and drive continuous improvement. Use data and experience to evolve your responsible AI program over time. Learn feeds back into Calibrate, forming a continuous improvement loop.

    9
    activities
    9
    outputs
    23
    articles

How the stages connect

Each stage produces artifacts that become prerequisites for the next. Gates between stages enforce quality and governance. The Learn stage feeds back into Calibrate, creating a continuous improvement cycle. Start with the Calibrate stage and follow the handoffs forward, or jump directly to the stage that matches your current work.