AI-Assisted CSM Prep Assistant
A working session companion that turns account telemetry, notes, and signals into a ten-minute prep brief before every customer call.
I build Customer Success and post-sales into operating systems. Human led, AI assisted.
Fifteen years turning reactive, relationship-only functions into durable retention and expansion engines. Builder at heart, operator by trade, and increasingly a voice on where AI is taking all of this.

Section 02
My career looks like a series of different titles. Underneath, it is the same job every time. Walk into something undefined or underperforming, find the structure hiding inside the chaos, and build the operating system that makes it work at scale. I learned to see people before process, which comes from a background in organizational psychology, and I learned to respect the numbers because the numbers are where trust is either earned or lost.
A background in organizational and industrial psychology. The lens that still shapes how I lead, why I think churn is almost always a human problem wearing a data costume, and why change management lives or dies on the people side.
Enterprise technology and operations work, including a release management role on the product that became Zelle, back when it was called Clear Exchange. An early lesson in shipping something real inside a large, complex organization.
Took a single enterprise engagement and helped turn it into a productized offering that became a real part of the business. Became a field authority in technology business management and learned to connect technical adoption to the financial outcomes that executives actually care about.
A focused chapter in senior strategy and transformation consulting. Short in tenure, useful in lens, advising on operating model and transformation work before returning to building inside product companies.
Built Customer Success from the ground up. Stood up an enterprise-ready post-sales operating model where there had been none, and connected onboarding signals to risk and expansion.
Modernized a global post-sales operating model across onboarding, adoption, risk, renewals, expansion, and executive governance, with AI-assisted workflows layered into the operating cadence.
The pattern is zero to one. I bring clarity to chaos and structure to ambiguity, and I build the function that was not there before.
Section 03
Thinking out loud about AI, operating discipline, building things, and the human side of work.
Why the disruption shows up in cost models before it shows up in headcount.
Entry-level work, new graduates, and the broken first rung of the career ladder.
What a psychology background taught me about why accounts actually leave.
How to stand up something that did not exist without permission you do not have.
Why you cannot comparison shop for the things that cost you the most, and what happens when someone builds the tool that lets you.
The quiet reality of leading at a high level while the market shifts under everyone.
Lessons in presence from the person I am married to.
Newsletter
Long-form thinking on AI, operating systems, and the human side of post-sales. In the meantime, the writing above will be republished there.
Section 04
I do not just write about building. Here is some of it you can touch.
A working session companion that turns account telemetry, notes, and signals into a ten-minute prep brief before every customer call.
Replaced gut-feel health with a weighted model that ties usage, sentiment, and executive engagement to renewal probability.
A 180-day rhythm that surfaces renewal risk and expansion lift early enough to actually do something about it.
A pooled-CSM and in-product nudge model for the long tail, so high-touch teams stay focused on accounts that move the number.
Something I have been quietly building for the post-sales operating layer. Name and details soon.
Interactive
A back-of-the-envelope look at the operating capacity returned when AI is layered into a CS team's weekly cadence.
Hours returned per year
3,840
Capacity unlocked
2.0 FTE
Implied annual value
$192,000
Section 05
Short takes on AI, operating, and building. More coming.
Why AI In CS Should Make Humans More Human, Not Less
The First Ninety Days Of A New CS Function
Operating Cadence As A Competitive Moat
What CFOs Actually Want From Post-Sales
Section 06
I do selective advisory work under NorthSkye Advisory, focused on human-led, AI-assisted operating models for Customer Success and post-sales. My view is simple. AI should strengthen operating discipline, increase team capacity, sharpen decisions, and give people back the time to focus on customer outcomes. It should not be a replacement story. The best AI operating models codify what good looks like and make it easier for humans to do consistently.
Modernized a global post-sales operating model and layered AI-assisted workflows into the cadence. [Insert verified GRR/NRR and capacity result.]
Built Customer Success from nothing into an enterprise-ready operating model and connected onboarding telemetry to risk and expansion. [Insert verified GRR improvement.]
Advised large enterprise accounts at the CIO, CFO, and CTO level and tied technical adoption to measurable financial impact. [Insert verified portfolio and influence figures.]
Independent Advisor, NorthSkye Advisory
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