Artificial intelligence (AI) isn’t as futuristic as it once seemed, nor reserved for tech giants with deep pockets. It’s an accessible, practical tool that associations of all sizes can use to improve what they do and how they do it.
Whether you’re automating tedious workflows, uncovering hidden insights in member data, or making communications more personalized, AI is becoming an essential asset in the nonprofit sector’s digital toolkit.
But diving in without a clear plan leads to problems — frustrated staff, wasted resources, and dauntingly underwhelming results, to name a few. So, what’s the secret? What should you focus on? How do you build something sustainable? The secret is starting smart.
This guide, tailored for associations, walks you through a simple, step-by-step approach to getting started with AI and what to expect after successfully taking the plunge.
[Related: Technology Trends and Predictions for Your Association’s Future]
Step 1. Start With a Purposeful, Achievable Use Case
The most successful AI projects don’t begin with technology — they begin with purpose.
Rather than adopting AI solely because everyone else is, your association should focus on clear, practical problems where AI can offer immediate value.
Ask yourself:
- Where is your staff spending time on repetitive tasks?
- Where is your organization collecting data but not using it to its full potential?
- What member needs or frustrations could be addressed with more responsive communication?
Two common and manageable starting points are:
- Improving your member insights. Many associations have valuable data from surveys, event registrations, and website usage, but little time to analyze it. AI tools help you uncover patterns, segment members by their interests or behaviors, and tailor your programs accordingly.
- Automating your content creation. Writing newsletters, event descriptions, and social media posts takes time. Generative AI can help you draft this content, allowing staff to spend time editing and refining, rather than always starting from scratch.
In fact, Contentful released data from its inaugural generative AI survey, reporting 37% of professionals save between five and 10 hours a week using generative AI tools. Think of the progress your association could make on a weekly, monthly, and even a yearly basis with that extra time to tackle other lingering tasks and new projects.
These small wins have a big impact, and they set the stage for larger successes down the line.
[Related: Tools and Strategies to Create an Efficient Automation Process at Your Association]
Step 2. Define a Scope You Can Realistically Manage
One of the most common missteps when launching an AI initiative is doing too much too soon. Success comes from narrowing your focus.
Instead of tackling a broad challenge, such as using AI to improve member experience, define a specific objective. For example, use AI to generate weekly content suggestions for your newsletter, or, use predictive analytics to identify lapsed members who are likely to renew.
Think in terms of a pilot — a limited-scope project that you can implement, test, and evaluate over the span of a few months.
For example, an association may want to start using AI to analyze their open-text responses from member surveys.
The goal is simple — identify common themes without assigning manual coding to staff. Within a handful of weeks, this association can visualize their members’ concerns and suggestions more clearly. While staff are able to make quicker decisions that are informed by real, relevant data.
[Related: Data Governance 101: The Basics of Creating Your Association’s Data Policies and Procedures]
Step 3. Choose Tools That Align With Your Team’s Capacity
A major barrier when adopting AI in associations is the (understandable) belief that you need vast technical expertise or an expensive, deep data infrastructure. But thanks to the growing number of no-code and low-code AI platforms, that’s no longer the case.
There are highly intuitive tools out there designed for everyday users — not MIT-graduate data scientists. When evaluating tools, look for:
- Ease of use. Can your non-tech-savvy employees learn it quickly?
Integration. Does it work with your existing systems? (Think CRM, CMS, and AMS.) - Transparency. Does the platform clearly explain how it’s using your data?
Here are some tools to explore:
- ChatGPT or Claude for content generation and summarization.
- Tableau, Pecan, or Microsoft Power BI for predictive analytics and dashboards.
- Zapier or Make (Integromat) for automating workflows using AI triggers.
Take a look at these AI tool comparison charts for a more in depth overview.
[Related: How AI Marketing Tools Could Benefit Your Association’s Strategies]
Step 4. Pilot, Evaluate, and Iterate
Remember to treat your first AI initiative as an experiment — not a finished product. The real learning begins after you’ve launched your pilot project.
Build in time to assess what’s working, what’s not, and what needs adjustment — all the while creating feedback loops with your staff and members.
If you’re using AI to generate content, compare AI-assisted versions with previous communications in terms of engagement. If you’re analyzing data, validate those results with known trends or a human review.
Track basic metrics such as:
- Time saved
- Task accuracy or consistency
Staff satisfaction with the new workflow - Member engagement metrics (for example, clicks and open rates)
Also, don’t underestimate the importance of staff buy-in. Include your team in the process early, provide training and context, and emphasize that AI is here to enhance their work, not replace it.
[Related: Preparing for a Technology Transition: A Change Management Playbook for Associations]
Step 5. Build Toward Sustainable Growth
If your pilot goes well, there’s no doubt your association will be eager to expand. But the key is to scale gradually and with intention.
Rather than launching multiple AI projects at once (which has the sure possibility of overwhelming your team), deepen your current success. For example, if your AI tool is helping with content generation, you might expand it to other departments or use it for member onboarding materials.
Start documenting what you’ve learned:
- What worked well?
- What processes changed?
- What data or skills were essential?
Then, encourage other teams to experiment under the same framework. Consider designating an internal AI lead or forming a working group to share knowledge amongst each other and monitor potential risks.
Ironically, the more hands-on you are with AI, the more success you’ll see.
[Related: How Personalization and Technology Enhance the Future of Member Experience]
Dennison & Associates Helps You Launch Smart and Grow Strategically
Remember, adopting AI doesn’t require a full digital transformation from day one. With the right mindset and tools, and a focused use case, your association can use AI to solve real internal problems and build momentum over time.
But if you need assistance getting started, Dennison & Associates is here to help you with our AI services. We’ll help you turn AI from an abstract concept into a tangible, strategic asset for your organization.
Contact us today to get started.
Want Expert Guidance for Your Association’s First (or Next) AI Project?
Dennison & Associates now offers a structured 10-week AI Adoption Program tailored for associations.
From smart use case selection to custom solution development, we’ll help you integrate AI in a way that works for your team, your members, and your mission. Contact us today to learn more.