Customer Enablement & AI Adoption, designed to turn skeptics into evangelists.
I know why capable people avoid the tools that would help them most.
I spent seven years studying it. Then I started fixing it.
My first enablement project was researching why laid-off workers missed out on job training opportunities. I learned that failed adoption is rarely about features; it’s the employee who never pictured someone like them using a product like yours. It’s an identity mismatch, not a product deficit.
I design enablement programs that change how people work, with your product at the center. I learned each piece of the job on its own: teaching in Ivy League classrooms, engineering production AI at early-stage ventures, and running change management as a Chief of Staff. Enablement is where they converge. I find where AI can help, build the tooling, and train the people who use it.
How I Work
Usability is table stakes.
I engineer transformation.
Adoption has an architecture. Awareness and competence are the base of the pyramid — the launch emails, the trainings, the runbooks that teach people what to click. Most enablement stops there. I build the upper layers: understanding, where customers learn why the product works the way it does, and transformation, where AI stops being a tool the customer uses and becomes how they work. I built that climb for students in Ivy League classrooms and on Maven, and now I’m building it for the user who wants to transform their work but doesn’t yet know how.
Roles
Where I fit on your org chart.
Customer Enablement
I listen the way teachers and chiefs of staff do — for the QBQ (question behind the question). At Flagship, that meant learning what e-commerce CFOs worry about at night, then building them a case study to secure renewals worth 11% of ARR. At Keywell, it meant figuring out where prospects got confused in our pitch, and creating enablement assets that gave Sales the tools they need to close.
AI Enablement, Internal
Here’s the truth: most execs issuing AI mandates aren’t actually using AI themselves — at least not the way they expect their teams to use it. I turn AI ambition into reality. At Keywell, I built and deployed internal AI agents that lived in public Slack channels, keeping teams aligned and showing them the art of the possible. And this website? It wouldn’t exist without Claude as my copilot.
AI Enablement, External
The real barrier to selling AI isn’t capability. It’s trust. Will the outputs be right? Can I explain them to my clients? I created the trust evaluations for a breakthrough AI medical device, and I’ve taught 500+ operators to trust their own judgment with AI. I have the credibility to advise on what’s possible with AI, what’s not, and to turn skeptics into power users.
Experience
The titles changed. The job didn’t.
“Enablement” has never been on my business card, but it’s been the work the whole time: the C-suite I taught what the numbers meant, the customers I walked through a brand-new AI product, and the seven years I spent studying why people don’t use tools designed to help them.
2025 – present
Founder
Powered Analysis is my education laboratory where I experiment with what’s actually worth teaching about AI and data. It’s thought leadership, not an exit.
2025 – 2026
Chief of Staff & CS Lead
The voice of the customer for Keywell’s AI product launch. Oversaw Keywell’s enablement assets and secured new SOWs with existing accounts that grew revenue by over 40%.
2025
Analytics Lead
I came in to help retain a key customer in danger of churning, and I delivered the data-driven case studies used by the CEO to fight for their renewal and preserve 11% of ARR.
2022 – 2025
Founding Director of Data Science
I designed the analysis that achieved the first FDA approval of an AI device to predict breast cancer risk. I taught our C-suite what the numbers meant, so they could close our Series B.
2020 – 2026
Data Science Instructor
University of Pennsylvania; George Washington Univ.
I started teaching before ChatGPT, and finished as an evangelist for AI. Proud to be one of the first faculty to treat AI as a learning objective, not a tool to be shunned.
2015 – 2022
PhD, Political Science
University of Pennsylvania
Spent years digging deeply into why a job training program with gold-tier benefits went almost entirely unused. It was my first enablement problem, and I’ve been working on versions of it ever since.
In practice
The ideas on this page have a syllabus.
The top of my pyramid is transformation — the point where AI stops being a tool people use and becomes how they work. I didn’t leave it as a diagram. I built the course that walks people there: professionals who never pictured themselves as data people, making the climb from wary to fluent.
ONLINE course
Practical Data Analysis for the Modern Professional
Analysis isn’t about technique. It’s about judgment — and you can learn judgment. In under two hours, with no code and no math, I teach professionals to ask the right questions of any analysis, challenge the assumptions underneath it, and treat AI as an analyst whose work they know how to check.
The Data Analyst Mindset
5:34
Measurement
19:52
Randomization and Selection Bias
10:18
Correlation vs. Causation
19:54
Sample Size, Variance, and Uncertainty
13:00
Missing Data and Outliers
12:05
Data Visualization
21:24
Get in touch
I’m exploring customer and AI enablement roles. The fastest way to reach me is a 30-minute call.