How AI and Copilot Agents Can Help Nonprofits Build Capacity

In a recent BDO webinar on Microsoft Copilot and AI agents for nonprofits, we explored how organizations can use AI to strengthen capacity, improve consistency and keep teams focused on mission critical work. The discussion comes at a time when nonprofit leaders are balancing rising demand, shifting funding models and persistent resource constraints, not to mention a confusing landscape of AI offerings. 

AI is Becoming a Resilience Tool

AI is more than a productivity trend. Like cloud technology before it, AI is becoming a foundational capability for organizations that need to adapt quickly while managing risk and cost. For nonprofits, that opportunity is especially relevant because many organizations need to do more with less, close staffing and skills gaps, and maintain service quality in an uncertain environment.

The Biggest Opportunity is Capacity

Poll results in the live webinar suggested that many nonprofits are still early in their AI journey, with attendees most often describing their organizations as exploring how AI can support mission and goals. Limited capacity stands out as the top challenge, including staff availability, skill sets and funding. When asked where Copilot and AI could create the biggest wins, participants pointed first to freeing staff to focus on higher impact work, followed closely by improving the quality and consistency of programs.

AI Adoption Should Start With Outcomes

A practical AI strategy begins with the processes and outcomes the organization already cares about. Nonprofits can identify the teams and roles involved, map the processes they own, determine which steps are repetitive or time intensive, and prioritize use cases that align with existing KPIs. The strongest starting points are often quick wins with meaningful business impact and a realistic path to implementation.

Agents Can Support Focused, High Value Workflows

We shared a grant proposal example showing how agentic AI can help with a defined workflow without attempting to automate an entire function at once. An agent can review a grant opportunity, identify required attachments and compliance needs, ask clarifying questions, generate draft materials and produce Word documents for human review. This focused approach helps teams start small, validate results and expand once a process proves useful.

Governance has to be Part of the Plan

As nonprofits use AI with donor, volunteer, participant and financial data, leaders need secure environments, clear permissions, education, monitoring and measurement. As we emphasized in our discussion, human oversight remains essential, especially as organizations begin delegating more process steps to AI agents.

Progress Does Not Require a Full Transformation at Once

The core message is practical. Nonprofits can begin with secure AI literacy through tools like Copilot Chat, expand productivity gains with Microsoft 365 Copilot, and pilot agents for targeted operational workflows. By starting with measurable use cases and keeping people in the loop, organizations can use AI to build capacity, improve consistency and strengthen resilience.