Not sure who is involved or who is accountable?
If AI project accountability feels unclear, a conversation is the fastest way to find out who owns what. Every project has a point where the work is moving but nobody is sure who owns what. In a conversation, we’ll look at your project, where it feels stuck, and what should happen first. You’ll leave with a clearer picture of who is involved and how I’d approach it. No preparation needed.
About Sahil, your AI project accountability guide.
I’m Sahil Kapadia, founder of AMSNow. I’ve spent 20 years helping organizations get technology projects organized, and today I help them assess their AI readiness, set up governance and turn AI opportunities into practical projects.
My work has taken me across associations and other industries, and I keep seeing the same pattern. Projects stall less often because of the technology than because nobody is sure who is involved, who is accountable, or what happens first.
Everywhere I have worked, I have led from the operations side: improving processes, removing waste, and finding ways to give front-line staff their time back. That is why I can lead engagements with success today.
AI Project Kit is how I put that experience to work: four documents that show who owns what, so your team starts on the same page.I know the challenges that show up at every level, from leadership to the front line.
Hear me on the show
On The Member Engagement Show, I talked about moving from AI planning to action: what to do before you implement, how to choose which AI projects are worth doing, and what a good project plan looks like.
Read the book on
AI ROI
Where AI Pays Off First is a six-step method for proving AI’s ROI: rank your processes by staff hours, map them as they really run, lock in a baseline, apply AI to one bottleneck, and measure the result in your own numbers.
Let’s talk
it through
Think of it as a 45-minute whiteboard session without the whiteboard.
Bring the project that’s got everyone confused, and we’ll sort out who owns what.