AI adoption succeeds when teams focus on how they use AI and who they become, not just on tools. Top teams ask better questions, act with intention, and protect human strengths like trust, creativity, and long-term thinking while reshaping collaboration. A cross-functional AI Champions Circle can enable exploration, experimentation, and shared learning without forcing expertise, surfacing practical use cases, skill gaps, and opportunities. Early prototypes that automate routine tasks can streamline delivery and free capacity for higher-value work, helping skeptics engage. A clear pattern emerges: high-performing teams cultivate uniquely human skills that AI cannot replace.
AI is transforming work, but it's not just the tools that matter. It's how teams use them, and who they become in the process, that sets them apart. While many organizations scramble to integrate AI into every corner of the business, the best teams are asking better questions. They're not just moving faster; they're working with greater intention. They protect what's human: trust, creativity, and long-term thinking. And they reshape how they collaborate, communicate, and grow, turning disruption into a durable advantage.
Instead of forcing adoption, Eric built a cross-functional " AI Champions Circle." Their goal wasn't to become experts overnight. It was to explore, experiment, and learn together. They surfaced use cases, skill gaps, and unexpected opportunities to showcase the company's strengths. One early win, a prototype that automated client reporting, showed how AI could streamline customer delivery, create more space for higher-value work, and give skeptics a reason to lean in.
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