AI Adoption for Nonprofits

Expand your mission with AI while building the trust and internal capability to use it well.

Agnes Vishnevkin helps nonprofit leaders move from scattered AI experimentation to practical, organization-wide adoption.

Build staff confidence, identify high-value uses, and put sensible guardrails in place. Develop AI capabilities your organization can sustain instead of becoming dependent on expensive vendors or outside consultants.

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AI Adoption Is Different for Nonprofits

Your nonprofit has more at stake than saving time.

AI can help nonprofits reduce administrative work, improve communications, strengthen fundraising, organize institutional knowledge, and give staff more time for mission-focused work. However, adopting it well requires attention to constraints and responsibilities that are especially important for nonprofit organizations.

Mission Alignment

AI adoption should serve the mission, not become an end in itself. Focus on uses that give your people more capacity for work that matters.

Limited Capacity

Your team may already be stretched thin. AI adoption should create practical value without becoming another major initiative for staff to manage.

Stakeholder Trust

Donors, funders, volunteers, clients, members, and community partners expect responsible stewardship. Poorly managed AI use can put hard-earned trust at risk.

Governance & Accountability

Nonprofits need clear rules for how AI is used, who is responsible for reviewing outputs, and when human judgment must remain in control.

Staff Concerns

Some employees are eager to use AI; others worry about accuracy, job security, or knowing how to use it effectively. Clear guidance, practical training, and staff involvement make adoption easier.

Sensitive Information

Nonprofits often handle donor, employee, client, financial, or regulated information. Staff need clear rules about what can go into AI systems and when human review is required.

The right approach starts with your organization, your people, and the work that matters most.

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How We Help Nonprofits

Training

Practical, accessible sessions for nonprofit leaders, staff, boards, associations, and conferences. Participants learn where AI can help, where the risks are, and how to apply it to real nonprofit work.

Workshops

Move beyond demonstrations. Staff work with real workflows, develop useful prompts and AI tools, and learn how to apply AI safely in their own roles.

Consulting

Get help deciding where to start, selecting high-value pilots, developing governance and policies, addressing staff concerns, measuring results, and expanding what works.

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The Empowerment Approach

Our approach fundamentally differs by focusing on capability transfer rather than solution delivery. Here's how the process works:

We begin by understanding your specific challenges, existing technology stack, and staff dynamics. Instead of immediately building solutions, we identify which of your team members show interest in becoming AI champions. These aren't necessarily your most technical staff—often, the best champions come from operations, marketing, or customer service roles where they deeply understand business pain points.
During this phase, we build the first one or two AI tools for you, deliberately choosing high-impact, visible applications that will generate immediate enthusiasm. For example, if your customer service team spends hours answering repetitive questions, we'll build a Customer Service Copilot that demonstrates immediate time savings.

Here's where our approach diverges dramatically from a traditional vendor relationship. Instead of simply delivering the completed tools, we conduct detailed "behind the curtain" sessions where we show your team exactly how we built them. Using screen sharing and step-by-step walkthroughs, we demystify the no-code development process.
Your staff see that building AI tools doesn't require programming knowledge. They watch as we use visual interfaces, natural language prompts, and drag-and-drop functionality to create sophisticated solutions. More importantly, they begin to see possibilities—"If we can build that, what about solving this other problem we face?"

Now your team members become builders themselves. Working alongside us, they identify their own pain points and design solutions. We guide them through the development process, but they do the actual building. This hands-on experience transforms their relationship with AI from fear to fascination, addressing change management concerns in the process.
A typical session might involve a marketing team member building their own Campaign Analytics Copilot, or an HR staff member creating an Onboarding Assistant. As they build, they gain confidence and start thinking strategically about AI applications. They also learn the limitations of AI, which paradoxically increases their comfort level—understanding what AI can't do reduces anxiety about replacement.

By this phase, your team builds new AI tools with minimal guidance. We shift to a coaching role, reviewing their work, suggesting optimizations, and helping with complex integrations, as well as advising on broader Gen AI strategy. Your staff start collaborating across departments, sharing techniques and building tools that solve cross-functional challenges, transitioning from a tactical to a strategic approach to Gen A adoption.
This is when the magic happens. Because they own the tools they've built, staff become evangelists and scalers rather than resisters. They proactively identify new AI opportunities. They iterate and improve their tools based on real-world usage. They train their colleagues, spreading AI capability throughout the organization.

The final phase establishes long-term success patterns. We help you create internal governance structures, best practices documentation, and peer mentoring programs. Your organization develops its own AI innovation pipeline, with staff regularly proposing and building new tools.
We remain available for periodic check-ins, advanced training on new AI capabilities, or assistance with particularly complex projects and advice on strategy. But unlike enterprise vendors who create dependency, our success is measured by how little you need us over time.

Featured Nonprofit AI Programs

Why Your AI Investment Isn’t Showing Up in Results: From Resistance to Profits

Your organization bought AI licenses, launched pilots, and trained employees. Yet the promised business results remain elusive. Leaders often respond with conventional change-management tactics built to overcome the friction of learning a new system, the inconvenience of changing routines, and the apparent laziness or inertia behind resistance. That approach fails when leaders apply it to AI. A CRM or expense platform changes a process; AI reaches into people’s livelihoods, professional worth, and social standing. Employees fear job loss, feel that AI devalues the writing, analysis, problem-solving, and creative work central to their identity, and feel ashamed to admit that a machine helped them produce something colleagues expect them to create themselves.

These emotions create costly patterns: open resistance, reluctant compliance, careless output, hidden experimentation, and shadow AI. A private AI shortcut may improve one employee’s productivity, but it rarely improves team performance when people conceal prompts, avoid sharing lessons, and never redesign handoffs or workflows together. In this practical, evidence-informed presentation, Dr. Gleb Tsipursky, CEO of Disaster Avoidance Experts and author of the peer-reviewed new book out with Georgetown University Press, The Psychology of AI Adoption at Work: From Resistance to Results, shows leaders how to diagnose anxiety, identity threat, and shame. Then, he shows how to respond with honest job conversations, psychological safety, clear acceptable-use norms, visible champions, and workflow-level measurement. Attendees will leave with a roadmap for converting isolated personal gains into transparent team practices, scalable process improvements, a stronger return on AI spending, and measurable profits.

Diagnose why conventional change-management methods miss the emotional depth of AI resistance
Distinguish job-loss anxiety, threats to professional and creative identity, and shame about using AI
Identify how these barriers produce avoidance, reluctant compliance, weak output, shadow AI, and isolated productivity gains
Build psychological safety and clear norms that make responsible, transparent AI use professionally legitimate
Redesign team workflows and select metrics that connect AI adoption to quality, time savings, revenue, cost reduction, and profitability

This program is usually delivered in a keynote of 60-90 minutes, virtual or in-person, with time built in for audience peer-to-peer interaction and Q&A. It can range from a brief TED-style talk of 20 minutes, to a 60-90 minute keynote, to a half-day or full-day workshop with extensive interactive exercises.
This program is well-suited for executives, business-unit leaders, HR and L&D leaders, change-management professionals, technology leaders, and anyone responsible for turning AI investment into business results.

Stop Overpaying for AI: Slash Costs While Boosting Employee Engagement and Innovation

Leaders are under immense pressure to adopt AI, but many fall into the trap of purchasing expensive, "black box" software that overpromises and underdelivers. These tools often fail not just because they are generic, but because they trigger "AI anxiety" and resistance among staff who fear being replaced. As a result, these expensive tools often sit unused because employees resist changing their workflows to fit such software. The result is "subscription fatigue" and stalled ROI, while your competitors are building proprietary AI solutions that you cannot buy.

Stop renting generic software and start building your own internal capacity. Join Dr. Gleb Tsipursky, CEO of Disaster Avoidance Experts and author of the upcoming The Psychology of AI Adoption at Work, to discover how to create custom AI solutions using accessible no-code and low-code platforms. If your team can learn how to use Excel, they can learn these skills. You will leave this session with a strategic roadmap to replace costly vendor contracts with proprietary AI solutions built by your own team that fit your specific operations. Just as importantly, you will learn how this approach leverages psychology to transform your employees from passive resistors into active creators—dramatically increasing engagement, reducing anxiety, and building permanent AI development skills within your organization.

Building vs. Buying AI Agents: An Executive Playbook for Owning AI Capability

Generative AI is transforming every industry—but the real strategic question isn’t whether to adopt AI, it’s how. In this session, Dr. Gleb Tsipursky draws on field data from dozens of middle-market organizations to reveal why leaders who build internal AI capability consistently outperform those who buy vendor-built solutions. You’ll learn how to evaluate your organization’s “AI ownership maturity,” design a balanced build–buy portfolio, and structure your teams so AI becomes a lasting competitive advantage rather than a recurring expense. Using real case studies, Dr. Tsipursky will show how firms have cut costs by 70–80%, launched AI-powered services in weeks instead of months, and built cultures where employees innovate with AI instead of fearing it.

Areas Where Nonprofits Can Apply AI

Programs
Operations
Communications
Fundraising

Human Resources
Volunteer Management
Advocacy
Governance

About Agnes

Agnes Vishnevkin, MBA, helps tech-forward leaders stop overpaying for AI.

Photo of Agnes Vishnevkin, COO

She serves as the COO of the boutique consulting and training firm Disaster Avoidance Experts. She has helped clients including Abbott, Aflac, Applied Materials, Fifth Third Bank, Honda, IBM, Microsoft, Nationwide Children's Hospital, The Columbus Foundation, Xerox, and over a hundred others to achieve outstanding client results. In her role as COO of Disaster Avoidance Experts, Vishnevkin manages day-to-day operations of the firm, in addition to consulting, coaching, speaking, and training.

Agnes’s expertise stems from her background as a nonprofit leader and her extensive research in behavioral economics and neuroscience. In her work at the Triangle Community Foundation, TROSA (Triangle Residential Options for Substance Abuse), and the Jewish Community Council of Greater Coney Island, Vishnevkin gained top-notch experience in operations, program management, social enterprise, development, and strategic planning. Agnes also co-founded Intentional Insights, an educational nonprofit advocating for research-based decision-making in all life areas using the principles of behavioral economics and neuroscience. Her biggest strength is using the principles of behavioral economics and neuroscience about individual and group behavior to streamline complex organizational systems and processes for maximum efficiency and effectiveness.

In addition to serving as Vice-President of the Board of Directors of Intentional Insights, Agnes co-founded the Pro-Truth Pledge project, a nonpartisan effort to help individuals commit to truthfulness in a way similar to how the Better Business Bureau helps businesses commit to best practices for building trust.

Agnes holds a MBA from Brandeis University and a BS from Baruch College. She lives in Columbus, Ohio, with her husband and cat. Her hobbies include vegetable gardening, crochet, and using science-based self-improvement strategies to trick herself into sticking to healthy habits.

Testimonials

“We were so happy to have Agnes here today at our Safety Net Symposium. She gave a great presentation on how to use AI tools in the nonprofit world. We have 59 clinics across the state, and I think this really resonated with our audience because they were able to take home useful, practical skills. Our clinics are incredibly busy, and Agnes showed them ways to use AI to save time and focus more of their efforts on what is most important. The skills she presented can be applied to operations and many other areas of their work.”

- Felicity Boykin, Community Engagement & Communications Coordinator at the Charitable Healthcare Network

AI Adoption for Nonprofits

AI Adoption Is Different for Nonprofits

Your nonprofit has more at stake than saving time.

Mission Alignment

Limited Capacity

Stakeholder Trust

Governance & Accountability

Staff Concerns

Sensitive Information

The right approach starts with your organization, your people, and the work that matters most.

How We Help Nonprofits

Training

Workshops

Consulting

The Empowerment Approach

Our approach fundamentally differs by focusing on capability transfer rather than solution delivery. Here's how the process works:

Phase 1: Foundation Building (Weeks 1-2)Expand

Phase 2: Demonstration and Demystification (Weeks 3-4)Expand

Phase 3: Guided Co-Creation (Weeks 5-8)Expand

Phase 4: Independent Innovation (Weeks 9-12)Expand

Phase 5: Sustainable Self-Sufficiency (Ongoing)Expand

Featured Nonprofit AI Programs

Why Your AI Investment Isn’t Showing Up in Results: From Resistance to Profits

Brief DescriptionExpand

Learning ObjectivesExpand

Format and AudienceExpand

Stop Overpaying for AI: Slash Costs While Boosting Employee Engagement and Innovation

Brief DescriptionExpand

Learning ObjectivesExpand

Format and AudienceExpand

Building vs. Buying AI Agents: An Executive Playbook for Owning AI Capability

Brief DescriptionExpand

Learning ObjectivesExpand

Format and AudienceExpand

Areas Where Nonprofits Can Apply AI

About Agnes

Testimonials

Speaking & Media