Learning tracks by role

AI learning track: Business leaders and executives

For leaders making AI decisions in clinical, financial, operations and other business teams.

After this track: You can question an AI proposal, define evidence of value and set boundaries before expanding its use.

Follow these 11 steps in order, or return to the one you need for your current work. Reading times are estimates; listening times cover the full episode.

  1. AI vocabulary in plain English: 14 terms

    Glossary

    Start with a shared vocabulary so you can ask clear questions without needing an engineering background.

  2. Why do LLMs hallucinate?

    Explainer · About 3 min reading

    Learn why a confident answer can be wrong before deciding which business decisions can rely on it.

  3. What is a token in AI, and why does it decide what AI costs?

    Explainer · About 4 min reading

    Understand what drives the usage bill before comparing vendor prices or approving a pilot budget.

  4. Why do most enterprise AI projects fail to show ROI?

    Explainer · About 1 min reading

    Use the pilot-to-production failures to identify the workflow and ownership changes your proposal needs.

  5. How do you measure whether AI is actually paying off?

    Explainer · About 3 min reading

    Define a business outcome and a baseline before treating adoption or time saved as a return.

  6. What are AI evals, and what should leaders know about them?

    Explainer · About 4 min reading

    Ask for repeatable checks on your actual tasks before accepting a polished demo as evidence of quality.

  7. How do you govern AI agents in an enterprise?

    Explainer · About 2 min reading

    Assign responsibility and review points before a useful pilot becomes a service people depend on.

  8. What does it actually take to ship AI in a regulated industry?

    Explainer · About 4 min reading

    Apply those controls to a clinical example where component testing and human sign-off shape the deployment.

  9. How do you decide what information an AI assistant may receive?

    Explainer · About 3 min reading

    Set a clear data-sharing boundary before staff bring customer, patient or financial records into the workflow.

  10. What makes an AI agent different from an LLM?

    Explainer · About 1 min reading

    Distinguish an assistant that answers from an agent that acts before extending the pilot to business operations.

  11. How much autonomy should you give an AI agent?

    Explainer · About 1 min reading

    Finish by deciding which actions may happen independently and which still require approval.

Choose another role or continue through the five-level pathway.