AI fundamentals for HR leaders

AI fundamentals for HR: what it can do, what it costs, and how to use it safely

Everyone is telling you to use AI. But if you're just getting started, the landscape can feel entirely overwhelming. Most resources out there are either too technical or too vague to be helpful. Almost none are specific to HR.

HR leaders have a career-defining opportunity right now: to be the person who brings AI into their organization in a way that's productive, secure, and equitable.

This guide covers the full landscape in plain language, built for HR practitioners who need to understand AI well enough to make smart decisions about it.

What's inside:

• A plain-language glossary of 20+ AI terms you'll actually encounter: agents, hallucinations, RAG, tokens, shadow AI, fine-tuning, and more

• A three-level use case framework for HR: drafting and summarizing, repeatable workflow automation, and autonomous AI agents, with examples at each level

• Prompting guidance: the five things every AI prompt needs to produce usable output on the first try

• A breakdown of how AI is priced by tokens, what drives costs up vs. down, and what to watch for in vendor contracts

• A vendor evaluation framework: what to ask about pricing models, model routing, and hidden usage costs

• A security checklist covering shadow AI risks, enterprise tool requirements, and which HR use cases should always have a human in the loop