Compass Pro Bono · AI Change Management
Where should AI support your work, and where should it stay out?
The AI Augmentation Matrix helps your team classify each use case by how high-touch and how high-stakes it is. The goal is to use AI where it can support the work, require review where the risk is higher, and protect the human work that should stay human.
The matrix
Two questions, four quadrants.
HIGH-TOUCH × LOW-STAKES
→ AI-assisted with review
ex. constituent outreach
HIGH-TOUCH × HIGH-STAKES
→ Human-only
ex. sensitive HR conversations
LOW-TOUCH × LOW-STAKES
→ AI-automated
ex. data cleanup, routine updates
LOW-TOUCH × HIGH-STAKES
→ AI-assisted with review
ex. market analysis
What you'll do
- List use casesName the tasks where AI or automation might help.
- Plot the matrixClassify each task by how high-touch and high-stakes it is.
- ReflectDiscuss trust, expectations, and mission fit with your team.
- Toward a policyUse the matrix as a practical starting point for AI guardrails.
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About this exercise
Adapted from the AI Augmentation Matrix (Use Case Classification), part of “Tactical Tools for AI Change Management at Nonprofits,” authored by Remy Reya, Director of AI and Thought Leadership at Compass Pro Bono. The framework is the intellectual property of Compass Pro Bono.
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