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Most companies say they're using AI, but only 30% have even created an acceptable use policy. Alane Boyd and Micah Johnson are back with part 2 of their AI fluency series, and this time they're going deep on the organizational level: the six milestones that separate companies dabbling with AI from those actually building with it.
If your team is experimenting with AI tools but you have no committee, no shared systems, and no way to measure who knows what, you're building on sand. This episode gives you the framework to change that, no matter where your organization is starting from.
In this episode, you'll learn:
- How to build an acceptable use AI policy that evolves as your tools and workflows evolve
- Why AI champions matter, and how to identify and use the right people on your team
- How to measure your team's AI fluency using milestone tracking across roles
- The system for sharing wins and roadblocks so AI knowledge doesn't stay siloed
- Why clean data is non-negotiable, and why AI can't fix your messy folder system for you
- How to document your workflows so anyone can understand them, no technical background required
If you're serious about building an organization that doesn't just use AI but grows with it, this episode gives you the exact roadmap. Press play, your team will thank you.
If you haven't listened to part 1 yet, start there first: The 5 Individual Milestones of AI Fluency.
Education & Resources
Claude Cowork Masterclass
🛠️ Tools & Platforms Mentioned
- Claude Cowork
- n8n
- Slack
- ClickUp
- Asana
- Basecamp
- Skype
- Dropbox / Shared Drive
Learn More about our AI Leadership Workshop
Winning businesses aren’t just working harder, they understand how to use AI strategically. Sign up for the AI Leadership Workshop, a 3-hour expert-led mastermind designed to give leadership teams clarity, alignment, and a practical path to stay competitive.
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This episode is brought to you by Biggest Goal.
Every quarter your team spends evaluating AI is a quarter your competitors spend shipping. Most leaders feel the pressure but get stuck between ignoring AI and getting it wrong. More tools and more demos won't fix it. What actually works is hands-on training for the people doing the work.
For more information about our AI education programs, visit biggestgoal.ai.
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