To encourage AI adoption, Bitly's marketing team holds a weekly, low-preparation "How I AI" meeting. Team members share personal AI use cases, fostering a safe learning environment, spreading practical knowledge across roles, and helping overcome the common feeling of imposter syndrome around AI.

Webflow accelerates AI tool adoption using company-wide "Builder Days." This combines a top-down executive mandate (e.g., "no meetings without a prototype") with bottoms-up enablement, including tool access, support channels, and prizes. The goal is to move the entire organization up the adoption curve, not just early adopters.

The best test of knowledge is the ability to teach it. By having employees explain a new AI tool or workflow to their peers, they are forced to solidify their own understanding and identify knowledge gaps. This process turns passive learning into active expertise.

Effective AI adoption requires a three-part structure. 'Leadership' sets the vision and incentives. The 'Crowd' (all employees) experiments with AI tools in their own workflows. The 'Lab' (a dedicated internal team, not just IT) refines and scales the best ideas that emerge from the crowd.

To avoid redundant work, Sendbird created a marketplace where employees can publish and download reusable AI 'skills' (e.g., a 'MedPic Advisor' for sales). This allows expertise from one team to be programmatically encoded and applied across the entire organization.

To get teams to embrace AI, leaders should ditch generic mandates like "use more AI." Instead, focus on specific business transformations and highlight the customer value they create. Using company-wide forums for "show and tell" sessions where teams demonstrate unarguable successes makes adoption organic and outcome-driven, not a top-down chore.

Webflow drove weekly Cursor adoption from 0% to 30% in its design team after one 'builder day' where every participant was required to demo a project. This combination of hands-on practice, peer support from champions, and clear expectations creates rapid, tangible adoption of new AI tools.

Team members learn the capabilities and best practices for using their own AI agents by observing others' interactions in public channels. This "mid journey dynamic" creates a tacit transmission of knowledge about what's possible, accelerating the entire organization's learning curve much faster than formal training.

To ensure AI is leveraged across the business, Stitch Fix is moving beyond its tech team. They are hosting an "AI Week" where the entire company, including non-technical roles, dives into experimentation, building, and prototyping to democratize AI skills and foster innovation.