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Why Adaptive Adoption Matters

Change management was built for projects. AI is not a project.

Every major AI adoption framework — Prosci, McKinsey, Gartner — implicitly assumes conditions that no longer hold: clear end states, stable technology, ethical neutrality, and turnkey solutions. These assumptions produce predictable failure modes: 72% of organizations score high on AI maturity assessments while only 6% demonstrate operational adoption (Accenture).

Adaptive Adoption starts from a different premise: the problem is not resistance to change. The problem is that the nature of change itself has changed.


The Deep Argument

Why Change Must Change — the full scholarly case for why existing frameworks fail and what replaces them:


The Three Disciplines

Change Agility — The Flywheel: why change agility is replacing change management

Leadership Delta — The Torque: why leadership development must be baked into every adoption framework

Behavioral Governance — The Guardrails: the difference between behavioral governance and compliance models


Visuals and Presentations

Visuals and Presentations — Framework diagrams, model card gallery, slide decks, keynote assets


Why Open Source

Proprietary change frameworks need change management to be static — their revenue depends on controlling it. Prosci charges $4,500/seat for certifications that update every few years. That model cannot survive a world where the technology shifts quarterly.

Adaptive Adoption is open, evolving, and forkable. The framework is free. Implementation is where value is created — in the hands of practitioners who know their industry, their organization, and their people.


See also: What Is Adaptive Adoption · How This Repo Works