The AI era is giving rise to structured models that guide how organizations adopt and evolve with intelligent systems. These frameworks share a staged sensibility and a respect for human foundations, resisting the lure of “big bang” transformations. Some emphasize sustainable adoption today, while others point toward autonomy as the inevitable horizon. Together, they mark a shift from hype to credible playbooks, offering leaders practical pathways from experimentation to truly self-directing organizations.

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Greg Twemlow’s People-First AI Playbook makes an important contribution to the growing body of thought on AI transformation. His R³ model — Renovate, Redesign, Remake — is a disciplined, staged pathway for enterprises seeking to adopt AI sustainably. Rather than rushing to disruption, Greg emphasizes Renovation as the critical, make-or-break stage where organizations cultivate adoption, overcome resistance, and build cultural readiness. It’s pragmatic, people-centered, and well-timed advice for leaders overwhelmed by the hype-cycle of “instant AI revolutions.”

In my own work, I’ve developed a complementary but distinct lens: the Framework for Autonomous Organizations (or you might say, the AAA model — Align, Accelerate, Autonomize). Where Greg’s framework highlights how to start responsibly today, mine asks where this journey ultimately leads. AAA begins with Alignment (clear goals, structure, and data readiness), moves into Acceleration (using AI to enhance supervision, decision-making, and throughput), and culminates in Autonomization — the emergence of organizations that can self-regulate and self-direct through AI-enabled feedback loops.

Both approaches share a staged sensibility and a respect for the human foundations of change. Both resist the temptation of “big bang” AI transformations. The distinction lies in orientation:

• Greg’s R³ is focused on building competency and culture in the present.
• My AAA framework is designed to make sure that competency eventually scales into autonomy in the future.

I see these not as competing but as converging frameworks. Enterprises need the rigor of Renovation to avoid wasted investment — but they also need the foresight of Autonomization to prepare for the inevitable endpoint of AI-enabled organizations.

The proliferation of credible frameworks like Greg’s and mine is a sign of progress: we’re moving from broad AI enthusiasm into concrete playbooks leaders can use. The difference comes down to horizon. Some frameworks will help you succeed at sustainable adoption today. Others will ensure you arrive at the true end goal — organizations that can run themselves.

👉 You can read about Greg Twemlow’s full People-First AI Playbook on Medium here: The People-First AI Playbook.

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