You’ll find that artificial intelligence (AI) is used seemingly everywhere, from conference planning and member communications to boardroom discussions and day-to-day operational decisions.

For associations, the pressure to “do something with AI” feels urgent and unavoidable. But moving too quickly often causes more harm than reward. Rushing to buy and implement AI tools you don’t know enough about can lead to wasted budgets, frustrated staff, and tools that quietly fade into the background because there’s been little to no training on how they work.

The good news is that your association doesn’t need to be full of AI experts to make smart decisions. But what you do need is a structured, thoughtful approach when evaluating tools, vendors, and real organizational needs before making any purchase.

[Related: Launch Smart — A Practical Guide to Starting AI Projects in Associations]

Why Ad-Hoc Tool Buying Fails

Many associations begin their AI journey reactively. A staff member might discover a promising tool. A department might request a license to solve a certain pain point. Or a board member might ask why the organization isn’t using AI yet, and then your team starts scrambling to incorporate it in some way. 

Each decision may seem reasonable on its own, but together they create a fragmented operational landscape.

Ad-hoc buying often leads to overlapping tools, unclear ownership, and adoption that is outright inconsistent. Tools are purchased to solve individual problems rather than shared organizational challenges. As a result, no one is accountable for long-term success. Then, as time passes, leadership struggles to explain the return on investment, and staff quietly revert to their old workflows.

Unfortunately, a large amount of SaaS spend (including about 53% of licenses) goes unused in nonprofit and association environments. So, ensuring your tools are the right ones for your organization, ones that genuinely help staff, will help you get the most out of your dollar. 

[Related: The Hidden Costs of Poor Technology Integrations]

How to Define Real Requirements

Before deciding which AI tools to buy, associations need to define the problems they are trying to solve. Surprisingly, this step is often skipped, but it’s truly the most important part of the process.

Strong requirements focus on outcomes rather than technology. 

• Instead of saying, “We want an AI tool for content,” you could say: 
  • “We want to reduce the time staff spend creating first drafts of member communications.”
• Instead of saying, “We need AI for events,” you could say: 
  • “We want to automate session descriptions or speaker outreach for recurring conferences.”

Requirements should be tied to repeatable processes, not one-off experiments. They should also be grounded in current staff capacity. This clarity makes it far easier to evaluate vendors and avoid paying for features that look impressive but ultimately never get used.

To determine what your requirements may be, consider reviewing or collecting internal data such as time studies, staff surveys, or workload assessments. This data, paired with industry benchmarks, will give you a better idea of how your staff is allocating its time.

[Related: Creating an AI Policy — What Every Association Needs to Include]

How to Evaluate AI Vendors

Once it’s time to evaluate vendors, features and pricing shouldn’t be your only considerations. 

Associations should understand how:

• Their data will be handled
• Whether it’s used to train models
• How transparent the vendor is about any generated results

An equally important note is how well the tool fits into your existing systems and workflows.

If staff have to constantly copy and paste information between platforms, your AI adoption will lag and suffer. Support and training is key. And associations benefit most from vendors who provide onboarding for non-technical users and offer guidance on an ongoing basis, not just a pamphlet of directions before riding off into the sunset.

Vendors with experience serving associations, nonprofits, or membership organizations usually share valuable context. They understand governance structures, volunteer involvement, and the cyclical nature of events and education programs (i.e., factors that can significantly affect how AI tools are used in practice).

[Related: 7 Questions to Ask Before You Hire Any Association Technology Vendor]

How Much Should Associations Spend on AI?

Unfortunately, there is no universal formula for AI spending. How much you should (or could) spend on AI is dependent on a number of factors, including the size of your association, the amount of members you have, the complexity of your operations and so much more. 

Because there isn’t a set-in-stone, recommended dollar amount, many associations tend to overspend early in their adoption process by purchasing far too many tools or licenses without knowing their proven value. 

A more sustainable approach is to start with a focused pilot. Apply the tool to one or two high-impact use cases, and measure the results before expanding.

Associations should be able to identify what costs an AI tool is replacing, such as:

• Staff time
• Contractor support
• Other pieces of software 

Try to define a tool’s success clearly, ideally within the first 90 days, so leadership can evaluate whether the investment is delivering meaningful results or needs to be replaced with a different, more lucrative tool. 

[Related: Why AI Readiness Should Be Your First 2026 Priority]

How Many Licenses You Actually Need

One of the most common missteps associations make is buying too many licenses too soon. Not every staff member needs access on day one, and forcing adoption on too broad a level can actually slow your momentum.

In most organizations, a small group of power users drives the majority of AI usage. 

Identifying those early adopters, assigning licenses based on real workflows, and expanding their access gradually helps control costs while you build internal expertise among other staff members. 

So rather than making assumptions, look at your usage data to inform and guide your future license purchases.

[Related: 5 AI Pitfalls Associations Should Avoid (And How to Get It Right)]

How to Avoid Shelfware

Shelfware is rarely caused by bad tools. It’s usually the result of unclear ownership and weak integration into daily work. To prevent this, associations should treat AI tools as strategic systems rather than experiments.

Each AI tool should have:

• A clear internal owner
• Documented use cases
• Defined success metrics
• Ongoing training 

A tool’s usage should also be reviewed regularly to ensure it’s continuing to meet your organizational needs. Because when AI becomes part of documented workflows instead of an optional extra, adoption follows naturally.

[Related: Preparing for a Technology Transition: A Change Management Playbook for Associations]

Navigate Your AI Tool Selection and Purchase, With Purpose

The most effective AI tools for associations are not necessarily the most popular nor most advanced. They are the ones that align with organizational goals, fit existing workflows, and match your current staff’s capacity.

Associations that succeed in their AI use typically take a deliberate approach by:

• Defining real needs
• Evaluating vendors critically
• Spending thoughtfully
• Measuring impact consistently

When all this is done well, AI can reduce staff burnout, improve member experiences, and increase operational efficiency. But done too hastily, it becomes just another budget line item no one wants to explain next year.

The difference is not the technology. It’s your plan.

Note. Dennison & Associates offers a vendor comparison calculator. If you need quick assistance for choosing the right tech partner, simply sign up on our website to access it.

[Related: Turn Your 2026 Technology Planning Into a To-Do List]

Contact Dennison & Associates for AI Tool Guidance

Selecting the right AI tools can be overwhelming. With so many vendors, platforms, and promises to sort through, it’s easy to invest time in demonstrations without gaining real clarity on what will actually move your organization forward. That’s where Dennison & Associates can help.

Our AI Tools Assessment is designed to bring structure and objectivity to the evaluation process. We work alongside your leadership team to identify where AI can deliver meaningful value, assess which tools align with your strategy and systems, and help you make informed, confident decisions. Rather than navigating options alone, you gain a trusted, solution-agnostic partner focused on your organization’s goals.

To learn more, explore our AI Tools Assessment service, and connect with us when you’re ready to take the next step.

Featured image credit via AI