The complete system to facilitate AI adoption in your organization. Methodology, AI agents, and practical tools for anyone driving the human side of AI change.
No spam. Just a heads-up when we launch.
82% of organizations are using AI in some form. Only 1% consider themselves mature. The gap between "we have the tools" and "people are actually using them" keeps growing, and it's not a technology problem. It's a people problem, a process problem, a change problem.
Whether you're a change professional guiding clients through this, a project manager setting it up internally, or an HR lead working on the people side: you need a structured way to approach AI adoption. That's what Adopt Cockpit is for.
Click the one that sounds like your situation. You're probably not the only one.
This is probably the most common pattern right now. The investment went into licenses and infrastructure, but not into helping people figure out what to actually do with it. The gap is a change gap: nobody designed the shift in how people work.
Read: what McKinsey's maturity data tells usThere's a difference between declaring a priority and creating the conditions for it. When leadership announces AI as strategic but doesn't change budgets, workflows, or incentives, what people hear is: this matters in theory. Making it real requires someone who can translate the vision into concrete next steps, and that's typically where things stall.
Read: why Stanford calls this the #1 barrierPilots succeed because a small group of motivated people figures it out together. Scaling fails because what worked for 12 people in one team doesn't automatically transfer to 500 across departments. You need a different kind of design for that: one that accounts for different contexts, different readiness levels, and different kinds of resistance.
Read: the 82% vs. 1% adoption gapThat anxiety is real, and it usually has nothing to do with the technology itself. It's about what AI means for someone's role, their expertise, their sense of being good at what they do. You can't solve that with a training session or a town hall. You solve it by involving people early, letting them experiment safely, and being honest about what's changing.
Try: a 15-minute workflow session with your teamMaybe that's actually a good place to be. Starting without a plan often leads to scattered pilots and tool fatigue. Starting with some structure, even a simple assessment of where your organization stands and what the real barriers are, gives you something to work with. The first step is usually smaller than you think.
Try: preparing your next change conversation with AIAdopt Cockpit covers the full AI adoption trajectory, from initial assessment to sustainable integration. Each pillar comes with dedicated AI agents that help you do the work.
Map organizational readiness, identify stakeholders, and understand where resistance sits. Before you act, you need to see the full picture.
2 agentsDesign your adoption approach, build the change narrative, and plan your communication. From vision to roadmap to messaging.
3 agentsCreate hands-on workshops and role-based learning paths. Move people from awareness to actual capability, step by step.
2 agentsEngage leaders to role-model AI use and build an internal champion network that sustains momentum beyond the initial rollout.
2 agentsDefine adoption KPIs, track what's working, and course-correct. Because what gets measured gets managed, and what gets managed gets better.
1 agentAdopt Cockpit combines async learning with AI-powered tools. You learn at your own pace, and the agents help you apply it in your organization.
Self-paced video modules on Circle teach you the AI adoption methodology: how to assess, design, execute, and sustain change around AI.
Use the 12 AI agents to create your deliverables: readiness assessments, adoption strategies, workshop designs, communication plans, and more.
Take everything into your organization or your client's. The tools produce professional, ready-to-use outputs you can implement directly.
Whether you're an external advisor, an internal leader, or someone who just picked up this responsibility.
You guide organizations through transitions. AI adoption is the next one, and it needs your expertise.
You're setting up AI adoption internally. You need a structured approach and practical tools.
You're already helping colleagues adopt AI. This gives you the system to do it properly.
Adopt Cockpit is designed as a complete self-service system. No live calls required, no cohorts to join, no schedules to follow. You work through the methodology at your own pace, use the AI agents when you need them, and apply everything directly in your context.
The agents do the heavy lifting: they generate assessments, strategies, communication plans, workshop designs, and more. You bring the context and the judgment. Together, you produce professional deliverables that would otherwise take weeks.
Adopt Cockpit is currently in development. Join the waitlist and be the first to get access when we launch.
No spam. Just a heads-up when we launch.