Fractional Chief AI Officer / AI Strategy & Adoption
Around 95% of enterprise AI pilots deliver no measurable ROI, and the reason usually isn't the technology. It's that the people using it were never set up to evaluate and adopt it. Closing that gap is the work: prioritize the few use cases that matter, ship the tools, and build the adoption that turns AI spend into time saved, cost cut, and faster decisions.
The Problem
Harvard studied elite consultants using AI. The ones relying hardest on the tool were 19 percentage points less accurate than the ones who didn't. The smartest operators, best firms, best tools, and they got worse. It wasn't the technology. It was the thinking behind it.
When people outsource thinking to AI, they don't just save effort. They stop growing.
The education system was built in 1806 to produce compliant workers. AI executes compliance faster than any human now.
Piling on more tools without growing the capacity to evaluate them is a faster engine with no steering wheel.
The Frame
The leaders closing the gap aren't the ones with the most tools. They learned to think above the tools. Build their own intelligence first, direct the machine's second. Every organization already has a Cognitive Architecture, whether they designed it or not.
The question is whether yours is making your people sharper or more obsolete.
How to think when machines think for you.
Five frameworks. One identity shift. Built from field data inside 100+ organizations.
What you walk away with:
The Work
See how your students actually think.
The cognitive diagnostic layer education has never had. Curriculum goes in. Test scores come out. arq.training makes visible what happens in between.
Visit arq.training →Context extraction for every company in the portfolio.
Expert context extraction across an entire portfolio. The patterns that matter, surfaced. Humans at the center of every conversation.
Get notified →Work Together
Whether you need embedded leadership, one pilot rescued, or a team that finally gets it, every engagement aims at the same thing: AI that pays off.
Embedded senior AI leadership without the full-time hire: prioritize the highest-value use cases, own the build, and drive adoption, so your AI investment actually returns something.
A focused engagement to take one stalled pilot to production: define the outcome, fix the workflow, build the human capability to use it, and measure the result.
Talks and working sessions your team can act on the same day. Signature topics: The Complexity Gap, and AI as Mirror, Not GPS.
Published Work
The research the book is built on. Grounded in cognitive science, tested inside 100+ organizations.
Who's Behind This
AI strategist and hands-on builder who translates cognitive-science research into shipped products, LLM-assisted tools, and adoption programs, with field work across 100+ organizations, two live platforms, and a forthcoming book.
B.S. in Entrepreneurship from Loyola Marymount University. Former Division I pitcher and first responder. Open to advisory, fractional, and enterprise AI engagements.
Founder of CritchPitch and Arq.Training.
Let's Work Together
There's a way in for where you are right now. Pick yours.
Or email nathan.critch@outlook.com. Every message gets read.