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Navigate AI Without Compromising Your Values

Your team wants to know why to use AI, when it makes sense, and how to keep it aligned with your mission.

The Conversation Your Team Needs to Have

If your organization is like many out there, the people on your team probably have wildly different perspectives on AI. Some are already eagerly experimenting. Many have serious ethical concerns. Some see opportunity; others see threat. All have questions.

8 in 10 nonprofits are using AI. But only 1 in 10 have policies governing it, and 4 in 10 have zero staff with any training.

Source: TechSoup/Tapp Network 2025; Multiple nonprofit AI surveys 2025–26

Many people in many organizations are making daily decisions about AI use without shared guidance. What tools to try, what data to input, what to trust. The result can be confusing and risky.

Most organizations in this space have inconsistent AI practices, potential exposure of sensitive data, equity gaps between power users and everyone else, and a growing disconnect between your stated values and your actual operations.

We started Greentime to facilitate conversations about AI and help non-profits create clear policies and develop skills that align with and serve their missions.

Mission Driven. Like You.

We're not AI salespeople. We are practitioners who've spent decades in environmental education, K-12 teaching, research and evaluation, and organizational development. We've led classrooms, managed grants, answered to boards, and navigated the politics of tight budgets and skeptical stakeholders. We've worked at local, national, and international levels.

When AI arrived in our sectors, we faced the same questions you're facing. So we did research, built frameworks, tested approaches, and started helping nonprofits figure this out.

"Greentime approaches AI with curiosity and thoughtfulness, examining both its potential environmental and ethical challenges, while preserving the authentic experiences that make environmental education so powerful."

- Judy Braus, Executive Director,

North American Association of Environmental Education

"The EE community is a really important player in this space. Ethical use of AI aligns really well with our values and the way that we think systemically."

- Esther Cowles, Fernwood Consulting

""I found this to be the best AI session I've attended yet."

- Steph Sherman, Pennsylvania Association of Environmental Educators

Four Stages of the Journey to Clarity

Your path emerges from understanding your unique culture and goals. We generally follow these stages to help you and your organization get where you want to go.

Get your bearings before you go anywhere

Orientation

We bring leadership and staff together in a facilitated working session to surface current AI usage, concerns, and aspirations. The goal is shared clarity about the AI landscape, both inside your organization and beyond it.

Planning

Figure out where you are going and how to get there

With a clear picture in hand, you make real decisions: which tools fit your work and your values, what guidelines you need, and what success actually looks like. We help you draw the route and set the ground rules everyone can stand behind.

Preparation

Build the skills you'll need for the journey

A plan only works if the whole team can actually use the tools. This is hands-on: building real skills, learning when to reach for AI and when not to, and getting good at judging what it gives back. Our goal is to build capacity.

Navigation

Hit the trail, and keep your footing as things change

AI is a fast-changing environment, and no one can know exactly what's coming next. We help you decide how to face it as a team, charting a path forward that's realistic, that everyone feels prepared for, and that your board can stand behind.

Let's Start With a Conversation

In 30 minutes, we'll help you name your biggest AI challenge, identify your most immediate needs, and map a realistic next step, whether that's with us or on your own. No pitch, no pressure. We’ll give you as much value for free as we can.

The best time to start is before you get lost!

AI isn't going to slow down while we all figure it out. But the risks of inaction aren't the ones most people talk about.

The trust risk

Your staff may already be making AI decisions every day about what to use, what data to share, what outputs to trust. Without shared norms, those decisions are invisible and inconsistent. When a board member or funder asks "What's your AI policy?" you need an answer.

The equity risk

Some team members are becoming AI power users while others feel left behind. Without intentional guidance, AI creates internal divides — in capability, confidence, and voice. The people with the least access to training have the most at stake.

The values risk

Every AI tool comes from somewhere, built by someone with specific interests. Using these tools without examining who benefits and how power shifts may put you at cross-purposes with your own mission. Not dramatically, but incrementally. The question is whether your AI use will be examined or unexamined.

From Confusion to Confidence

Here's what it could look like on the other side:

Your team has a clear AI use policy, and they actually understand it. When someone asks "Can I use AI for this?" there's a straightforward answer, not a shrug. When your board asks about your approach, your team can articulate exactly what you're doing and why.

Staff feel more confident, less conflicted. They know which tools to use, what data stays out, and where to go with questions. New team members get oriented quickly. Your organization learns together, sharing discoveries, flagging concerns, building collective judgment over time.

And with that foundation in place, AI delivers on what your team decided it should. Not a generic efficiency promise, but the specific value your organization designed it to create.