The Next Strategic Planning Conversation Is About AI as a Capacity Contributor
- Jacquelyn Davis

- Jul 6
- 4 min read
What we're learning while helping nonprofit and philanthropic organizations prepare for an AI-enabled future.
Over the past several months, one theme has emerged in nearly every conversation we've had with nonprofit CEOs and foundation leaders: How do we integrate AI into our organizations effectively and beneficially to increase our impact?
Organizations are in a context of change and uncertainty on multiple fronts from the rapid advent of new technology to a precarious political landscape. Needs are increasing and staff are stretched thin.
The question they're asking isn't simply, "How can we use AI effectively?"
It's, "How do we create more organizational capacity and advance our organization by using AI?"
That's a very different conversation.
At Volution Advisors, we're exploring that question alongside our clients while experimenting internally with AI to improve our own systems, workflows, and ways of working. Like many organizations, we're learning in real time. Every experiment gives us new insight into how AI can strengthen decision making, reduce administrative burden, and create more space for the work that depends on human judgment and relationships.
What we're discovering is that this isn't primarily a technology conversation.
It's an organizational leadership conversation.
From AI Adoption to Organizational Readiness
Earlier this year, we wrote about the promise, pitfalls, and practical guidance for AI in the nonprofit sector. Since then, the conversation has evolved.
Today, most of the leaders we work with are no longer asking which AI tool they should use. Or how individual team members can use AI effectively and responsibly.
They're asking bigger questions.
How will AI change the way our organization operates?
How should we rethink staffing, leadership, and decision making?
Can AI help us with strategy and planning?
And maybe most importantly: Which work should always remain deeply human? What can be outsourced to AI?
Those questions sit at the heart of organizational effectiveness, strategic planning, and governance. They're also the kinds of questions we believe leaders should begin asking now, even if they aren't ready to implement AI at scale.
Capacity Is a Strategic Advantage
Several CEOs we've worked with have shared a similar challenge.
As projects grow and partnerships expand, they're expected to spend more time building relationships, meeting with funders, and representing their organizations publicly. At the same time, reporting requirements, internal coordination, and administrative responsibilities continue to grow.
For many leaders, AI isn't about replacing people.
It's about creating capacity – and space to do the deeply human work that requires decision-making, judgment, and relational trust.
When routine tasks such as information gathering, scheduling, drafting, meeting summaries, or project coordination can be supported by AI, leaders gain something that's increasingly difficult to find: time to lead. But, AI can do so much more to support mission achievement.
Organizational Design Matters More Than Ever
Much of Volution's work focuses on helping organizations align strategy, structure, talent, governance, and culture.
AI doesn't replace that work.
If anything, it makes it even more important.
The organizations making the greatest progress won't necessarily be those using the newest technology. They'll be the ones that intentionally redesign how work happens across their organizations. They will rethink systems – and ensure they are tightly aligned to strategy and implementation.
Instead of asking, "Which jobs can AI do?" leaders should begin asking, "What's the best combination of people, processes, and technology to advance our mission?"
That's an organizational design challenge, not simply a technology decision.
Four Questions Every Leadership Team Should Be Asking
As we've worked with clients and experimented internally, four questions continue to surface.
1. What work should remain deeply human?
Relationships, judgment, coaching, trust building, and community engagement remain central to mission-driven organizations.
2. Where can AI create capacity?
Administrative work, research, documentation, information synthesis, and routine coordination are often strong places to begin. AI can even help with strategy and implementation planning. We often find that AI can help us do 75% of the thinking, as long as we start by uploading documents (securely), providing precise and clear prompts, and including our own perspective and expertise on a matter. Then, from the 75%, we can further develop and revise. The process and information generated is still dependent on our unique expertise and points of view, but partnering with AI as a trusted colleague saves us time, especially at the senior level.
3. How should our organization adapt?
Technology alone rarely transforms an organization. Sustainable change requires leaders to rethink roles, workflows, accountability, and decision making. It also often comes with the people leadership and change management to guide the team and organization through significant shifts in behavior, habits, and mindsets. This is adaptive work, not just technical. And again, this is where human beings are needed and can’t be replaced by AI.
4. What capabilities do our people and boards need?
AI literacy is becoming an important leadership capability. Boards don't need to become technology experts, but they do need enough understanding to ask informed questions about strategy, governance, ethics, and organizational readiness. Our team needs to understand how AI functions, how it can perform work, and what risks remain that need to be mitigated.
Preparing for What's Next
We don't believe organizations need to rush toward every new technology.
Nor do we believe AI has all the answers.
What we do believe is that leadership teams should begin preparing now.
The organizations that thrive over the next decade won't simply have access to better technology. They'll be the ones that thoughtfully redesign their organizations so people and AI complement one another in service of the mission.
That's the work we're doing with clients today.
It's also the work we're continuing ourselves as we experiment, learn, and help organizations prepare for what's next.
The future of AI isn't really about artificial intelligence.It's about building stronger, more adaptive organizations. And, that’s the best practice in any time or situation. That’s what creates organizations that last and continue to drive impact over decades.
Further Reading
McKinsey & Company. Talent to Value in the Age of Agentic AI. 2026.
McKinsey Global Institute. The Economic Potential of Generative AI.
Microsoft Work Trend Index. 2025 Annual Report.
Stanford HAI. AI Index Report 2026.
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