We scan new podcasts and send you the top 5 insights daily.
Encourage broad AI experimentation and learning by creating multiple channels for sharing. Wrike uses dedicated Slack channels for quick updates, carves out time in monthly all-hands meetings for teams to showcase their AI wins, and maintains a reference library of successful AI-enabled workflows for others to learn from and replicate.
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.
Shopify built an AI agent named River that works exclusively in public Slack channels, never in DMs. This forces collaboration into the open, allowing 6,000 employees to watch and learn from each other's interactions with the AI, accelerating company-wide adoption and skill development.
To overcome employee time constraints, Pendo implemented both scheduled, interactive workshops to create dedicated learning time and a Slack channel for asynchronous, "many-to-many" sharing. This dual approach ensures both focused learning and continuous, organic knowledge exchange across the 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.
By building internal AI agents directly into Slack, their usage becomes public and visible. This visibility is key for driving adoption; seeing a bot turn a message into a PR creates a "holy shit" moment that sparks curiosity and makes others want to use the tool, creating a natural viral effect.
To scale internal AI knowledge, Wrike created a formal library of AI-enabled workflows. They also dedicate time in monthly marketing all-hands for team members to showcase what they've built, which fosters peer-to-peer learning and cross-functional inspiration.
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.
Individual AI use is often a siloed, one-to-one experience. To foster collective learning, create a dedicated "AI Playground" Slack channel. This gives team members a space to share successful prompts, interesting outputs, and even failures, turning individual experimentation into a shared team asset.
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.
Iron Horse replaced typical business updates at the start of leadership meetings with a mandatory "show-and-tell" where each leader demonstrates what they've built with AI. This peer pressure fosters cross-functional inspiration, proving more effective than top-down mandates for driving company-wide adoption.