Start With Where You Actually Stand, Not Where You Assume
Most associations guess at their AI maturity instead of measuring it. This framework starts with an honest read on where AI already sits inside your organization, then maps the specific path from that starting point to real AI leadership — one process at a time.
No two associations start in the same place, so no two paths look the same. What stays consistent is the order: assess first, then build.
Some associations don’t need another deliverable sitting in a folder — they need someone who stays in the conversation as priorities shift, tools change, and new questions come up. The Advisory Partner Path is an ongoing relationship built around that reality.
It’s the option for leadership teams that want AI decisions made with a second set of eyes on a standing basis, not revisited only after something breaks.
The Association AI Playbook is Sahil’s LinkedIn newsletter — what’s actually working, and what isn’t, for associations putting AI to use. Drawn from real engagements, not trend pieces.
First issue: “The Board Report Nobody Has Time to Write.”
A Six-Step Method You Can Actually Run This Quarter
Where AI Pays Off First distills the same framework AMSNow uses with clients into a practical, six-step method for association leaders — rank your processes, map them honestly, and prove in your own numbers whether AI actually helped.
Written for the leader who’s tired of AI advice that never says what to do Monday morning.
They read something alarming about AI risk, get worried, and go straight to writing a policy document — signed, filed, and ignored within a few months, because nobody checked where the real exposure already was, or named who actually owns AI decisions before the rules for using it existed. Where AI Pays Off First starts one step earlier: a six-step method for finding the process most worth automating, proving AI actually improves it, and only then writing down what you’ve learned — so the policy, if you need one, describes a problem you actually have.
Sahil has 20 years of experience leading technology and organizational transformation across associations and other industries. Today his work involves helping organizations assess their AI readiness, establish governance, and turn AI opportunities into practical projects.
Most introductions happen because someone in the room recognized the moment. A board asking about AI with no policy in place. Staff already using tools with no rules. A project underway that needs someone to run it. This one-page flyer lists those moments and who to introduce me to, so passing my name along takes about a minute.
Is your association a Starter, a Builder, or a Leader when it comes to AI? Take the free AI Maturity Score to see where you stand today and where to go from here.