Eight years in high-stakes mortgage operations. Now working at the intersection of AI strategy and real-world execution -- where it either works or it doesn't. I help people find their lightbulb moment and build something that runs.
I spent eight years in mortgage operations, most of it underwriting and leading teams through high-stakes, detail-heavy work. That's where I learned how real workflows actually break down, and how much time good people lose to bad process.
I came to AI as a practitioner, not an engineer. I taught myself to build by solving my own problems first, then started doing the same for other people. Now I help individuals and teams figure out where AI actually fits their work and build the systems that make it stick.
The approach is simple: start with the real friction, build something useful you can use the same day, skip the hype. The goal isn't to replace how you think. It's to give you more room to do it.
The people who push back hardest are usually the ones who needed it most.
Skeptics don't need a pitch. They need to see something work on their actual problem, in their actual workflow, in real time. When that happens, the resistance doesn't fade gradually -- it just stops.
That's the pattern. Not a product demo. Not a slide deck. Someone leaves with a working system built around how they already work.
Start with a conversation. The bot on this site is the same kind of thing I build for clients -- it listens, asks good questions, and makes sure I have context before we talk. Takes 5 minutes. No funnel, no automated follow-up. Just a real reply from me.
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