To some, an AI agentic operating model can seem intimidating. It's easy to picture Will Smith's early 2000s I, Robot film, where pools of willful machines took control of humanity. While that was a cool movie, that's not what we're talking about here. Not by a mile.
When we talk about AI agentic teams, the word "teams" is key. The human is still the dominant and strategic force relying on its AI counterpart to perform the more executional, reactive, and operational tasks. Humans have their place in stewardship. Agents have their place in planning and execution. Both work together based on mutualized goals.
For associations, AI agents monitor member behavior, trigger engagement workflows, update records, and generate leads for acquisition. All with defined guardrails and human oversight. But what does it take to go from tipping your toe in the pool of agenticity, to transforming your org into a fully AI-Agentic Operating Model? Let's take a look.
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AI maturity in associations and nonprofits isn't a one-and-done scenario. Checking the box off with AI adoption pilots just doesn't cut it.
For associations and nonprofits, AI transformation is defined and tied to one very simple thing - delivery. Whether member-driven or mission-driven, orgs can only define themselves as AI-mature if they've leveraged AI within every corner of their operations to deliver, and continue delivering, on their promise.
Yes, operational efficiency plays a huge role in influencing productivity, driving revenue, reducing staff time, and relegating more administrative and otherwise repetitive tasks to automation. But, in the end, the most mature organizations get to tout that AI has influenced real decision-making on programming, new member models, member engagement, legislative movements, etc. - all factors that contribute to driving value to constituents.
While every org is going to carry a different flavor, there are standard signals that indicate an association or nonprofit is AI mature.
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It's easy to pack all of your dreams and wishes into your Association Management System (AMS). Particularly when you've invested time and money into it. And while it's understandable to think that it is the catch-all for everything you do with your data, that's not necessarily the case.
And that's okay. Your org flavor should pair well with your AMS, based on what you're looking for now, and in the future. But, it doesn't means that your AMS needs to be your jack of all trades. In the end, your AMS is your system of record. It does that really well.
What it isn't—your system of action.
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