AI culture and training
Build skills, confidence, and community around AI
We help organizations move from isolated experiments to a culture where people learn, share, and apply AI together. Through training, workshops, and community-building, teams gain the mindset and practical skills to turn AI into everyday progress.
AI community building
Creating internal momentum, excitement, and collaboration around AI adoption.
AI community‑building discussion
Explore how an internal AI community supports strategic goals
Community 101 training
Practical guidance for HR & comms on building a sustainable community
Facilitating first meet‑ups
We organize and host sessions that set the tone and spark internal energy.
Q&A guide to internal AI communities
Internal AI communities are no longer optional. They are essential drivers of innovation, continuous learning, and talent retention in the age of artificial intelligence. This guide provides answers to the most frequently asked questions about AI communities.
Internal AI communities are the most inspiring environment for learning and innovation, ensuring your company stays up to date on the latest AI technologies and practices. They bring together the company's brightest and most enthusiastic people, creating a central hub where knowledge is shared and new ideas are rapidly tested. This constant flow of information and collective skill-building drives organic growth and strategic innovation.
Furthermore, communities are a powerful tool for talent retention. By seeing the organization's actions and strategy more closely, top talent feels invested and involved. This participation and connection with like-minded peers significantly reduces the likelihood of key technical talent leaving the company.
Before officially starting a new community, do some digging within the organization. There could already be self-made AI communities sharing on platforms like Teams or Slack, or strong internal AI influencers operating informally. Discuss with these groups and individuals first, and build upon their existing energy and enthusiasm.
Once you have identified key internal drivers, the next step is to simply ask for volunteers. The most passionate individuals will naturally nominate themselves. Crucially, you must be clear about the tangible benefits participants will gain, such as connecting with like-minded peers, sharing their passion, fostering continuous learning, and having a direct voice in shaping the company's AI direction and strategy.
AI communities can generally be divided into three structural categories:
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Audience: A more managed, top-down group that primarily follows instructions or consumes content directed from a smaller, central team or individual.
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Network: A looser, event-based group where people gather specifically to share knowledge, present work, and learn from their peers in an informal setting.
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Self-Organized Community: A completely autonomous group that collectively decides on its own activities, projects, and learning goals based on the collective interests of its members.
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Running a community requires organizational support, though it is not necessarily expensive. You will need someone to help the community or communities with practicalities like scheduling and logistics. However, if the community is genuinely passion-based, it will be largely self-organized. The primary investment is granting people the official permission and time to participate in community activities during work hours. They may also need basic resources, such as specific tools or experimentation environments to test new ideas.
Management’s primary role is to provide sponsorship and enablement. This includes allocating necessary budget for tools, events, and resources, and giving employees the dedicated time to participate. Crucially, managers should be encouraged to jump into the community as equal members to learn, listen, and gain deep, unfiltered insight into the hands-on technical challenges and emerging opportunities the community identifies. By actively listening and valuing the community's input, they signal its importance to the entire organization.
AI training for teams
Hands-on learning that empowers people to use AI confidently and creatively.
Intro workshops
Experiment with AI tools and explore role-specific use cases
Custom-fit AI training courses
Tailored sessions from short inspiration to in-depth learning
AI learning path design
Build a medium-term learning roadmap for continuous adoption
