Stop playing with AI. Start using it.
Everyone in your organization deserves to have real agency with AI. That starts with the why before the what — and shows up as revenue, efficiency, and maximum productivity.
Why it's different
"We're partners from discovery through development — and honest enough to tell you when the answer isn't us."
We sit on the same side of the table as you — through discovery, process, and development. We start by asking what's possible: what would the ideal actually look like? Then we work back to what's best for your organization — what to build, how to build it, whether to build at all, or whether the smartest move is someone else's software. We're technology-agnostic on purpose, so the best idea wins, even when it isn't ours.
Forward-thinking, grounded in reality
Ideas we've already put in the world.
Expert AI output, for everyone. Describe the job in plain words; get a finished result, not a response to wrangle.
Season intelligence for lacrosse coaches — practice planning that balances skill, morale, and player safety.
A graph-first cognitive architecture where agents spawn new specialists when they need them.
Who you'll work with
Two kinds of knowledge.
Teammates again since the 1997 Rutgers lacrosse team. Most engagements use both.
Helps leaders figure out what to actually do with AI — no jargon, no computer-science degree required. His two careers are halves of one craft: 25+ years in higher-ed advancement (Rutgers, Fordham, Stanford, USC) and a working voice-acting career, both built on hearing the story underneath what people actually say. Along the way, he personally raised $175MM for a host of campus priorities and was a key contributor for world class institutions in multiple capital campaigns that raised over $14.5B during his tenure. Fundraising and performance are the same discipline — read the subtext, then translate it into something that moves people. Runs the applied side, where AI meets the humans who have to use it.
Brings 25+ years of enterprise rigor to the technical side — architecture, integrations, and the judgment of what's actually worth building. 25+ years in enterprise marketing operations, most at Adobe, leading a small embedded team called into high-stakes accounts — the NFL, Salesforce, Johnson & Johnson, Zappos — to turn stalled deals around on 90-day timelines. He works the gap between strategy and engineering, where most AI projects quietly fail: impressive demos that break in production, tool sprawl no one can maintain. Technology-agnostic and workflow-first, he optimizes for fewer moving parts and systems that hold up — starting with the question every client hears on day one: "Do you need that?"