AI and the Nonprofit Leader

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First 30 Days Guide

A lightweight 4-week sequence for moving from curiosity to one disciplined, low-risk pilot.

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Use this sequence to move from curiosity to one disciplined experiment.

Week 1: Understand The Ground Rules

  • Read a basic AI framework and identify low-risk vs high-risk uses.
  • Decide what sensitive information should stay out of public AI tools.
  • Pick one leader who owns the experiment.

Week 2: Build An Opportunity List

  • List repetitive work.
  • List intern-level tasks.
  • List important work that is consistently delayed.
  • Pick one problem that is painful, measurable, and low risk.

Week 3: Test One Workflow

  • Try one prompt or tool on a real task.
  • Compare the result to your current process.
  • Keep human review in place.
  • Note where the result is useful, weak, or risky.

Week 4: Decide What Comes Next

  • Measure time saved or quality improved.
  • Decide whether to stop, refine, or repeat.
  • Draft a short staff guidance note based on what you learned.
  • Identify the next question your team needs answered before scaling.

What Success Looks Like

At the end of 30 days, you should not aim to be "an AI organization." You should aim to know one workflow better, understand your risk boundaries more clearly, and have a more confident next step.