Why a Gut Feeling Isn’t Enough to Know Where You Stand on AI
Most association executives have a gut feeling about where they stand on AI.
It usually sounds something like this: ahead of some peers, behind others, doing “fine” compared to whatever showed up on LinkedIn this week. Nobody arrived at that answer through any real accounting. It came from a handful of conversations and a comparison standing in for information that was never actually gathered.
That gut feeling isn’t something you can act on, and it’s definitely not something you can hand to your board. A board doesn’t want “we feel like we’re doing okay.” It wants a number, a baseline, something that shows up the same way next year so progress can actually be measured.
The gap between feeling and knowing costs more than it looks like it does. Budget gets allocated off it. Staff time gets spent off it. Vendor conversations happen off it — decisions made on a sense of things instead of information, with no real way to know whether the association is solving the right problem or just the loudest one.
How the AI Maturity Score Works
The AI Maturity Score exists to close that gap. It isn’t a benchmark against a peer nobody chose, and it isn’t a sales pitch dressed up as a quiz. It looks across four areas that determine how an association is actually doing with AI, not how it feels about AI, and returns an actual number instead of a guess.
Building that picture takes four parts, and none of them are complicated:
- Awareness and usage. Where staff already stand with AI tools — what they’re using and how often — versus how much of that leadership actually knows about. Most associations are further along here than executives realize, because the adoption already happened at the desk level before anyone approved it.
- Operations. Where AI is touching the actual work — membership, events, communications, renewals — and where it still isn’t, even though it obviously could be.
- Data and technology. Whether the systems underneath the association can support broader AI use, or whether that foundation needs work first.
- Governance. Whether there’s an actual policy guiding how AI gets used, or whether staff are making those calls one judgment call at a time.
Score each of those honestly and a real picture appears — not “how do we compare to other associations,” but a specific, defensible answer to where this association stands right now, and what the distance looks like between here and where leadership wants it to be. That’s a real accounting of your own organization, in your own numbers, that holds up in a board meeting the way a feeling never does, and holds up the same way again next year — which is the only way anyone actually tracks progress.
Ten Minutes, No Sales Pitch
The AI Maturity Score takes about ten minutes. There’s no email drip afterward, no sales call you didn’t ask for — just the number and the gap it reveals.
If you’ve been meaning to find out instead of guessing, this is the fastest way to do it: amsnow.io/score
Frequently Asked Questions
Why isn't a "gut feeling" enough to know where an association stands on AI?
Most association executives have a sense of where they stand on AI — ahead of some peers, behind others — but that feeling isn't something you can act on or hand to a board. A board wants a number and a baseline it can track year over year, not "we feel like we're doing okay."
What four areas does the AI Maturity Score measure?
Awareness and usage (where staff already stand with AI tools versus what leadership knows about), Operations (where AI is touching membership, events, communications, and renewals — and where it still isn't), Data and technology (whether the systems underneath the association can support broader AI use), and Governance (whether an actual policy guides how AI gets used, or staff are making judgment calls one at a time).
How long does the AI Maturity Score take, and is there a sales pitch attached?
About ten minutes. There's no email drip afterward and no sales call — just the score and the gap it reveals.