AI Literacy
AI literacy is the baseline capability we build across your entire team. Before anyone can use AI effectively, they need to understand what it actually is, what it can do, what it cannot do, and how to think about it critically.
What AI literacy covers
Understanding capabilities and limitations What AI tools are good at and where they fall short. Your team learns to recognize which tasks are well-suited for AI and which still need human judgment. No hype, no fear - just a clear picture.
Evaluating AI tools New AI tools launch constantly. Your team learns a framework for evaluating them - what to look for, what questions to ask, and how to separate genuine capability from marketing noise.
Writing effective prompts The foundation of working with AI tools. Your team learns how to give clear instructions, provide useful context, and iterate on results. This is a practical skill that improves with practice.
Critical thinking about AI outputs AI tools produce confident-sounding output regardless of accuracy. Your team learns to verify, question, and refine AI-generated content. They learn when to trust the output and when to dig deeper.
Security awareness What to share with AI tools and what not to. Your team learns the basics of data privacy, confidentiality boundaries, and responsible AI use in a business context.
Why literacy matters
Most AI adoption failures are not technical problems. They are people problems. Teams that do not understand AI avoid it, misuse it, or over-rely on it. Literacy training sets the foundation for healthy adoption across your organization.
Staying current
AI changes fast. What was cutting-edge six months ago may be outdated today. Partnership clients receive a monthly AI brief that covers what changed, what it means, and what to consider. All clients get updated training when their systems evolve.
Next steps
- Curriculum - the full 4-phase training progression
- Education Overview - how education fits into every engagement