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, respond when something goes wrong, and evaluate new AI vendors. Four modules plus capstone. About an hour end to end.

~171 minutes5 modules · 29 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.
  • Run the first ten minutes of an AI incident without making it worse.
  • Evaluate an AI vendor's terms in ten minutes, enough to triage the approval call.

Syllabus

  1. Module 1

    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
    • DDrill: classify the case~3 min
    • LWhen aggregation bites~5 min
    • DDrill: find the sensitive bits~5 min
    • LApply it to your own work~8 min
    • DDrill: classification under pressure~6 min

  2. Module 2

    Policy that people actually follow

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

    • LWhy most AI policies fail~5 min
    • LThe five sections every AI policy needs~6 min
    • DDrill: which section is missing~3 min
    • LVoice that gets read~5 min
    • DDrill: strengthen the policy line~4 min
    • LAudit your own policy~10 min
    • DDrill: revise a live policy~5 min

  3. Module 3

    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, and the three incident types to expect.

    • LThe five-step response~6 min
    • LThe reporting culture that makes the playbook work~5 min
    • DDrill: what do you do first~3 min
    • LThe three flavours of AI incident~6 min
    • DDrill: find the mistakes in this response~5 min
    • LApply the playbook to your org~10 min
    • DDrill: run the response~6 min

  4. Module 4

    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.

    • LReading the terms in ten minutes~6 min
    • LTracing the data flow~6 min
    • DDrill: match the tool to the tier~3 min
    • LPicking a model, not just a vendor~5 min
    • DDrill: write the tool-approval brief~4 min
    • LAudit the tools you actually use~10 min
    • DDrill: the approval meeting~5 min

  5. Module 5

    Capstone

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

    • QFinal quiz~14 min