MaxtDesignAI Studios
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Governance Awareness track

AI Governance

Classification, policy, incident response, and the tool-approval calls.

A practical track on the governance work every team eventually needs. How to classify content, write a policy people follow, run incident response without making things worse, and evaluate new AI vendors. Four content modules plus a capstone quiz.

~134 minutes6 modules · 22 lessons

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By the end of this track, you will

  • Classify any piece of work into one of three tiers in under five seconds.
  • Write an AI policy short enough to be read and specific enough to bite, and keep it current as the stack changes.
  • Run the first ten minutes of an AI incident without making it worse, and close the learning loop after each one.
  • Evaluate an AI vendor's terms in ten minutes. Handle the moment a vendor changes terms, deprecates, or goes away.

Syllabus

  1. Module 1

    Before you start

    A short orientation. What this track teaches, what it deliberately leaves out, and how to skip what you already know.

    • LWhat this track is for~4 min

  2. Module 2

    What you can and cannot paste

    Calibrate the instinct for "is this safe to paste into a public AI tool?" before writing any policy. A shared mental model across the team is the prerequisite.

    • LThe three tiers that cover 95% of cases~6 min
    • LThe four edge cases that break the tiers~6 min
    • LWhen aggregation bites~5 min
    • DDrill: classification under pressure~6 min

  3. Module 3

    Policy that people actually follow

    Writing the AI policy is the easy part. Writing one the team will read, remember, act on, and keep current is the whole point.

    • LWhy most AI policies fail~5 min
    • LThe five sections every AI policy needs~6 min
    • LVoice that gets read~5 min
    • LKeeping the policy current~6 min
    • DDrill: strengthen the policy line~4 min

  4. Module 4

    When something goes wrong

    The first ten minutes of an AI incident shape the next six months. A clear playbook, a no-blame reporting culture, three incident types, and the post-incident learning that prevents the next one.

    • LThe five-step response~6 min
    • LThe reporting culture that makes the playbook work~5 min
    • LThe three flavours of AI incident~6 min
    • LRun a tabletop exercise~10 min
    • LClosing the loop after an incident~6 min
    • DDrill: run the response~6 min

  5. Module 5

    Choosing the tool for the job

    Which AI tools the team can use and for what. Read the terms, trace the data flow, match the tier to the tool, handle the sunsets.

    • LReading the terms in ten minutes~6 min
    • LTracing the data flow~6 min
    • LPicking a model, not just a vendor~5 min
    • LWhen a tool is going away~6 min
    • DDrill: the approval meeting~5 min

  6. Module 6

    Capstone

    Eight questions across the four modules. Clear 70% to earn the certificate.

    • QFinal quizTake~14 min