17/01/2026
The AI tech isn’t the problem. Adoption is.
And most organizations are already behind.
Below are 6 consulting frameworks to succeed with your AI adoption.
Each framework can be used to:
• Assess the current state of AI adoption in your company
• Define concrete next steps
𝟭. 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁’𝘀 𝗠𝗮𝘁𝘂𝗿𝗶𝘁𝘆 𝗠𝗼𝗱𝗲𝗹
Assessment: Establishes a clear baseline of your company’s current maturity with AI across data, technology, governance, and talent.
Roadmap: Use to create a practical path forward by identifying capability gaps, investment priorities, and practical steps to advance maturity.
𝟮. 𝗣𝘄𝗖’𝘀 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 𝗦𝗽𝗲𝗰𝘁𝗿𝘂𝗺
Assessment: Classifies the degree of human-AI collaboration across your company.
Roadmap: Use to outline a strategy to increase AI capability while managing risk, governance, and workforce impact.
𝟯. 𝗗𝗲𝗹𝗼𝗶𝘁𝘁𝗲’𝘀 𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸
Assessment: Evaluates how AI contributes to productivity, decision quality, and value creation within your company.
Roadmap: Use to balance efficiency with human value creation by automating tasks, augmenting human judgement, or amplifying strategic decision-making.
𝟰. 𝗚𝗮𝗿𝘁𝗻𝗲𝗿’𝘀 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝘆 𝗟𝗲𝘃𝗲𝗹𝘀
Assessment: Categorizes AI agents by their degree of operational independence and decision authority.
Roadmap: Use to identify where AI autonomy is appropriate, and where human oversight, controls, and escalation mechanisms are essential.
𝟱. 𝗠𝗜𝗧’𝘀 𝗛𝘂𝗺𝗮𝗻-𝗶𝗻-𝘁𝗵𝗲-𝗟𝗼𝗼𝗽
Assessment: Assesses the degree and timing of human involvement in AI-driven decisions.
Roadmap: Use to integrate human expertise into AI systems, allowing people to actively guide, correct, and validate automated processes for better accuracy, context, and ethical decision-making
𝟲. 𝗛𝗕𝗥’𝘀 𝗧𝗲𝗮𝗺𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹
Assessment: Evaluates how effectively humans and AI learn, coordinate, and perform together over time.
Roadmap: Use to clarify the roles between humans and AI, whereby AI can be used as a tool, a collaborator, or a manager.
AI initiatives fail without a clear strategy and explicitly defined human-AI roles.
These frameworks force strategic clarity and translate it into operating-model decisions.
Where is your human-AI strategy still implicit?
