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Lesson 4 of 4

Basic AI risk governance for organizations

Before scaling AI across the organization, leaders need a few baseline rules to avoid data, ethics, and brand-reputation risks.

The most common risk isn't AI being "wrong" — it's employees pasting sensitive data (customer info, contracts, financial figures) into public AI tools without knowing it might be retained. This is the first baseline rule needed before scaling usage.

The second rule: any AI-generated content going to external customers (emails, quotes, marketing copy) needs human review before sending — AI can produce incorrect information that sounds very confident.

Try it now

  1. 1Draft a list of data types that must NOT be pasted into public AI tools
  2. 2Clearly communicate this list to the whole team before scaling AI use
  3. 3Set a rule: AI-generated content going to external customers must be human-reviewed
  4. 4Designate one point person the team can ask when unsure whether AI is appropriate for a task
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