AI has moved from theory to practical tools that nonprofits can use today. Adoption of generative AI is growing even faster than smartphones and tablets, which means your staff, volunteers, and funders are already starting to expect AI-enabled experiences.

For nonprofits, AI can help you:

• Streamline routine work like note-taking, data entry, scheduling, and basic research, so staff can focus on mission-critical activities.
• Do more with limited resources by automating low-value tasks and supporting content creation, planning, and information gathering.
• Reenergize teams who are feeling burned out or stuck, by giving them tools that remove busywork and spark new ideas.

Microsoft’s work with nonprofits shows that many organizations feel their productivity isn’t where it needs to be to drive mission success. At the same time, survey respondents report high expectations that AI can:

• Assist with necessary but repetitive tasks
• Reduce time spent on low-value activities
• Boost productivity and accelerate the pace of work

Because AI is increasingly built into tools you already use (like Microsoft 365, Dynamics 365, and GitHub), you don’t need to be a large organization or have a big innovation budget to get started. You can begin by experimenting with AI features in familiar apps and then expand as you see clear value for your mission.

Many nonprofits are in the same position: the work environment feels strained, innovation feels slow, and people are tired. Surveys of nonprofit leaders and contributors highlight three common productivity disruptors:

• Inefficient or excessive meetings
• Rote tasks like note-taking, data entry, scheduling, and planning
• Feeling uninspired or unsure how to start a project

AI can help address these pain points in practical, low-friction ways:

• Summarizing meetings and action items so people spend less time in meetings and less time writing follow-ups.
• Drafting content for emails, reports, grant narratives, and presentations, so staff aren’t starting from a blank page.
• Planning the workday by organizing tasks, surfacing priorities, and pulling together relevant information.

Recent Microsoft research on Microsoft 365 Copilot users shows that:

• A significant share of users say they are more productive.
• Many report that Copilot accelerates their creative process and makes it easier to start a first draft.
• Users spend less time processing email.

To avoid overwhelming your team, you can:

• Start small with one or two use cases (for example, meeting summaries or first-draft creation).
• Use built-in AI in tools your staff already knows, such as Microsoft Teams, Word, Outlook, or PowerPoint.
• Offer targeted learning through resources like the Microsoft Digital Skills Center for Nonprofits and LinkedIn’s AI learning paths, which are designed to fit around busy schedules.

Over time, this approach helps you reduce busywork, free up capacity, and let people refocus on the parts of their roles that directly advance your mission.

Nonprofit leaders are optimistic about AI but also clear about their concerns. Survey results show that many:

• Are worried about AI security risks
• Are concerned about the AI learning curve
• Won’t fully trust AI decisions without human oversight

At the same time, a large share of executives and employees say they would be comfortable with AI taking on more administrative work and believe AI tools can be trusted in the workplace when implemented correctly.

Microsoft’s approach is to provide responsible, highly secure AI that nonprofits can use with confidence:

• Microsoft and OpenAI have a strategic partnership focused on responsibly advancing and democratizing AI.
• AI capabilities are integrated into products like Microsoft Copilot, Microsoft 365 Copilot, Dynamics 365, and Microsoft Security Copilot, with enterprise-grade security and compliance.
• Tools like Microsoft Copilot with enterprise data protection are designed so your organizational data is protected and governed.

To get started responsibly, you can:

1. Clarify your goals by asking: What are our objectives for AI? Which pain points (for example, repetitive tasks, slow content creation, or service backlogs) can AI address?
2. Assess your readiness around data strategy, infrastructure, and staff skills. This includes understanding where your data lives and how it’s governed.
3. Build AI literacy using the Microsoft Digital Skills Center for Nonprofits and LinkedIn’s AI courses, which cover both capabilities and responsible use.
4. Start with low-risk pilots in areas like content drafting, meeting summaries, or chatbots for FAQs. For example, the nonprofit Seguro Project used Microsoft Copilot Studio (formerly Power Virtual Agents) to build a cost-effective chatbot that answers domestic violence support questions 24/7.
5. Keep humans in the loop by treating AI as a copilot, not an autopilot. Staff review and approve AI-generated outputs, especially for sensitive decisions.

This combination of secure platforms, clear governance, and incremental adoption allows nonprofits to reimagine how they work with AI while maintaining trust, safety, and alignment with their mission.