I build the system so you don’t have to be the system.
I’m Bennett Schneider. I run Kinetic3, an AI consulting and implementation firm. I go inside businesses, find where they’re bleeding money and time, and build the AI infrastructure that gets leadership out of the day-to-day.
EST. 2024
Generated across healthcare, construction, legal, and service businesses
From websites to marketing infrastructure to full AI operating systems
College and professional hockey before founding Kinetic3
How I got here.
I played professional hockey. That part didn’t last.
I grew up on the ice. Played juniors, played college hockey at Hamilton (a Little Ivy in upstate New York), then went pro. When it became clear the NHL wasn’t going to be the career, I didn’t go get a desk job. I taught myself how to build things. Started with websites, then marketing, then full business systems. The same obsessive work ethic that got me to the rink at 5 AM translated pretty well to building businesses.
$80M+ in client revenue later, I was still trapped.
I built Kinetic3 from scratch. Started building websites, learned paid advertising, then started running full marketing operations for clients. The results were real. $80M+ in revenue generated across healthcare, construction, legal, and service businesses. But I was still the person pulling reports at midnight, still the one everyone called when something broke. I’d built the machine for everyone else and trapped myself inside my own.
So I wired AI into every layer of my own operations.
I built what I now call an AI operating system. It’s more than automation. It’s a second brain for the business.
It pulls data from 18 sources into one database and analyzes it in real time. I read insights, not dashboards. It watches my meetings, flags decisions and follow-ups, and delivers a morning intelligence brief to my phone before I open my laptop. It handles content production, client reporting, sales training analysis, and outbound operations. Every month I install new modules on top of it: a videography pipeline, a direct mail workflow, a lead response system. The foundation stays the same. The capabilities compound.
The business runs whether I’m at my desk or at the park with my kid.
I didn’t build it to sell it. I built it because I was tired of being trapped. Then other business owners started asking how I did it. Now I do the same thing for their businesses. I come in, run a diagnostic, and build the system. The actual infrastructure, installed and running in their operations.
Every business I walk into has the same problem.
Revenue is up. They’ve hired people. And they’re working more hours than when it was just them. Decisions bottleneck at one or two desks. The team sits in meetings that exist because nobody has visibility. Money leaks through campaigns nobody’s watching and roles that exist because a process was never automated.
They’ve tried coaching, new software, more hires. The business still can’t run without them because the infrastructure for it to run without them doesn’t exist yet.
Meanwhile, their competitors are starting to use AI to move faster. That gap gets wider every quarter.
The discovery call is where we figure out if it’s fixable.
30 minutes. No pitch. We look at where you’re bleeding time and money, and whether an AI system would actually help. If it won’t, I’ll tell you.
If I can’t find a single concrete problem in 30 minutes, I’ll tell you and we’ll end the call early.
How every engagement works.
Diagnose
I interview ownership, key employees, and anyone who touches operations. Every conversation gets recorded and processed. The output is a full findings document in plain English: where you’re losing money, where you’re losing time, and where AI closes the gap. You get a prioritized build plan with a toggle menu. Pick the modules you want, leave the rest.
Build
The foundation goes in first: your data connected, your context loaded, your intelligence layer running. Then the modules you picked get built on top. Data pipelines, daily briefs, meeting intelligence, task automation, sales training tools, lead response systems, content workflows. Whatever the diagnostic says you need most gets built first.
Compound
New modules plug into the same foundation. When AI capabilities improve (and they improve every quarter), your system upgrades with them. Most clients add new modules each month as they see what’s possible. The foundation stays. The capabilities stack.
