The ADAPT Framework
Our 5-step methodology for building individual AI capabilities. Each phase creates lasting competence rather than surface-level familiarity, ensuring sustainable AI fluency.
ADAPT = capability building
Assess
Current State AnalysisEvaluate your AI readiness, skill gaps, and learning preferences using our diagnostic framework.
Using validated instruments, we assess your current skill stage (Dreyfus model), learning preferences (Kolb/Honey & Mumford), and psychological capital (hope, resilience, efficacy, optimism).
Design
Personalized RoadmapCreate a tailored learning path based on your goals, timeline, and preferred learning approach.
Your roadmap is personalized by learner type (Theorist gets frameworks first, Pragmatist gets problem-first projects). We incorporate 70:20:10 learning model principles.
Apply
Hands-on PracticeImplement AI tools in real work scenarios with guided practice and immediate feedback loops.
Practice with ChatGPT, Gemini, NotebookLM, and domain-specific tools. Each exercise uses your real work scenarios, not hypothetical examples.
Practice
Skill ReinforcementDevelop fluency through repeated application, peer learning, and progressive challenges.
Build micro-artifacts (prompt packs, SOPs, demos) that demonstrate your AI capability. These become your portfolio of proof.
Transform
Measurable ImpactAchieve demonstrable results in work performance, career advancement, or teaching effectiveness.
We measure KPIs across four areas: learning (skills gained), work (productivity), artifacts (deliverables), and confidence (self-assessment). The goal is self-sustaining independence.
IMPACT vs ADAPT — How They Work Together
IMPACT
The coaching methodology — how we guide your journey from assessment to transition.
6 steps: Initiate → Map → Prioritize → Act → Consolidate → Transition
Learn more →ADAPT
The capability model — how you build lasting AI skills through systematic practice.
5 steps: Assess → Design → Apply → Practice → Transform
You are hereWhy ADAPT Works
ADAPT is grounded in the Dreyfus Model of Skill Acquisition (Novice → Expert) and Self-Determination Theory. Each phase systematically moves you from awareness to mastery, building both competence and intrinsic motivation. The result: sustainable AI fluency, not one-off exposure.