Ethical AI Guidance

How to Adopt AI Responsibly for Nonprofits

AI is powerful—and risky if deployed without guardrails. Learn how to evaluate tools, build policies, and ensure AI serves your mission instead of undermining it.

AI can help your nonprofit scale impact, reduce burnout, and work smarter. But it can also:

  • Compromise privacy if tools train on your donor or client data

  • Perpetuate bias in hiring, service delivery, or decision-making

  • Erode authenticity in donor communications and storytelling

  • Displace human judgment in situations that require empathy and context

  • Create new dependencies on vendors you don't fully trust


The tension is real: You need AI to stay grow your reach and effectiveness, but you can't afford to compromise your values.

Most AI guidance is written for corporations—companies optimizing for profit, not mission. Nonprofits need different frameworks, different questions, and different standards.

We provide AI guidance filtered through the nonprofit lens.

a group of people holding hands on top of a tree
a group of people holding hands on top of a tree
a group of people holding hands on top of a tree
a group of people holding hands on top of a tree

Most AI Frameworks Optimize for Efficiency.

Ours Optimizes for Integrity.

We created Mission-Aligned Intelligence (MAI) as a framework specifically for nonprofits—organizations that can't afford to sacrifice values for productivity.

MAI ensures that AI serves your mission, not the other way around, by keeping human judgment, community wisdom, and stakeholder accountability at the center of every decision.

We created Mission-Aligned Intelligence (MAI) as a framework specifically for nonprofits—organizations that can't afford to sacrifice values for productivity.

MAI ensures that AI serves your mission, not the other way around, by keeping human judgment, community wisdom, and stakeholder accountability at the center of every decision.

We created Mission-Aligned Intelligence (MAI) as a framework specifically for nonprofits—organizations that can't afford to sacrifice values for productivity.

MAI ensures that AI serves your mission, not the other way around, by keeping human judgment, community wisdom, and stakeholder accountability at the center of every decision.

What if there was another way to add capacity—without adding headcount?

What if there was another way to add capacity—without adding headcount?

What if there was another way to add capacity—without adding headcount?

That's where AI comes in. Not to replace your people, but to multiply what they can do.

That's where AI comes in. Not to replace your people, but to multiply what they can do.

That's where AI comes in. Not to replace your people, but to multiply what they can do.

Core Principles of Mission-Aligned Intelligence

01

Complementarity (Human + AI)

AI should amplify human strengths, not replace human judgment. Humans remain the decision-makers on what matters most. AI handles the analytical heavy lifting; humans handle relational, contextual, and values-based work. Example: AI drafts grant proposals, but program staff infuse them with authentic stories and mission voice.

01

Complementarity (Human + AI)

AI should amplify human strengths, not replace human judgment. Humans remain the decision-makers on what matters most. AI handles the analytical heavy lifting; humans handle relational, contextual, and values-based work. Example: AI drafts grant proposals, but program staff infuse them with authentic stories and mission voice.

01

Complementarity (Human + AI)

AI should amplify human strengths, not replace human judgment. Humans remain the decision-makers on what matters most. AI handles the analytical heavy lifting; humans handle relational, contextual, and values-based work. Example: AI drafts grant proposals, but program staff infuse them with authentic stories and mission voice.

01

Complementarity (Human + AI)

AI should amplify human strengths, not replace human judgment. Humans remain the decision-makers on what matters most. AI handles the analytical heavy lifting; humans handle relational, contextual, and values-based work. Example: AI drafts grant proposals, but program staff infuse them with authentic stories and mission voice.

02

Rooted Intelligence

Decisions must be grounded in lived experience, community wisdom, and cultural knowledge. AI can provide data, but staff and beneficiaries provide irreplaceable context. Example: AI identifies patterns in client data, but case managers understand the human stories behind the numbers.

02

Rooted Intelligence

Decisions must be grounded in lived experience, community wisdom, and cultural knowledge. AI can provide data, but staff and beneficiaries provide irreplaceable context. Example: AI identifies patterns in client data, but case managers understand the human stories behind the numbers.

02

Rooted Intelligence

Decisions must be grounded in lived experience, community wisdom, and cultural knowledge. AI can provide data, but staff and beneficiaries provide irreplaceable context. Example: AI identifies patterns in client data, but case managers understand the human stories behind the numbers.

02

Rooted Intelligence

Decisions must be grounded in lived experience, community wisdom, and cultural knowledge. AI can provide data, but staff and beneficiaries provide irreplaceable context. Example: AI identifies patterns in client data, but case managers understand the human stories behind the numbers.

03

Accountability to Mission

Efficiency gains must deepen impact, not just increase output. AI systems must be accountable to stakeholders—beneficiaries, donors, community—not just operational metrics. Example: AI helps you send more donor emails, but are those emails strengthening relationships or adding noise?

03

Accountability to Mission

Efficiency gains must deepen impact, not just increase output. AI systems must be accountable to stakeholders—beneficiaries, donors, community—not just operational metrics. Example: AI helps you send more donor emails, but are those emails strengthening relationships or adding noise?

03

Accountability to Mission

Efficiency gains must deepen impact, not just increase output. AI systems must be accountable to stakeholders—beneficiaries, donors, community—not just operational metrics. Example: AI helps you send more donor emails, but are those emails strengthening relationships or adding noise?

03

Accountability to Mission

Efficiency gains must deepen impact, not just increase output. AI systems must be accountable to stakeholders—beneficiaries, donors, community—not just operational metrics. Example: AI helps you send more donor emails, but are those emails strengthening relationships or adding noise?

START HERE

Mission-Aligned Intelligence: A Framework for Responsible AI Adoption

a laptop computer sitting on top of a wooden desk

Most AI frameworks optimize for efficiency. Mission-Aligned Intelligence optimizes for integrity. Learn the five pillars that keep your mission at the center of every AI decision—from governance to implementation to ongoing evaluation. What You'll Learn: The 3 core principles of Mission-Aligned Intelligence, 5 pillars for responsible AI adoption, a decision framework to evaluate any AI use case, how MAI differs from corporate AI frameworks

Ready to see what Mission Aligned Intelligence can do for you?

You don't have to figure this out alone. Whether you're just getting started or already experimenting with AI, we're here to help you do it right—for your organization, your people, and your mission.