I've trained over 1,000 employees on AI, coached internal builder programs that shipped production tools, and personally built the products alongside the teams I advise.
Book a conversationThey buy tools before figuring out what problems to solve. They hire consultants who've never written a line of code, let alone built an agent. Then they wonder why the "AI strategy" was a slide deck that collected dust. A year passes, the license renewals come up, and nobody can point to a single thing that changed.
The organization purchases AI software before anyone has articulated what it's for. Eighteen months later, adoption is at 12% and the CFO is asking hard questions.
Everyone can prompt ChatGPT. Nobody can evaluate whether an AI vendor is overselling, or build something custom when off-the-shelf doesn't fit. The org stays dependent on whoever sold them the last contract.
Lots of exciting proofs of concept. None of them in production. The innovation team demos things at all-hands, but the product team has never touched any of it.
You know you need to do something with AI. You're not sure what's worth building in-house vs. buying off the shelf. I help you figure that out, vet vendors, redesign workflows, and put governance in place that doesn't slow everything down.
I run cohort-based programs inside your organization. Your employees learn to build, test, and ship AI tools on their own. By the end, you have people who can keep going without me.
Shorter engagements. AI fundamentals for the whole company, governance orientation so your team knows what's compliant, or intensive working sessions for product teams who are ready to start integrating AI into how they build.
I trained the full organization on AI fundamentals and their governance requirements. I personally built three products on the company's agentic infrastructure. I redesigned how the product team works with AI, vetted and onboarded their AI vendors, and cut release cycles by weeks. Then I coached 13 internal builders who went on to produce dozens of prototypes. Three of those prototypes were picked up by the business and folded into flagship products.
I designed the AI curriculum and served as a startup mentor. The program taught 30 entrepreneurs how to use AI across the whole product lifecycle: customer discovery, design, build, and test. These were people building real companies, and the goal was to make their validation faster and their product decisions sharper.
If any of this sounds like what your organization needs, let's have a conversation about it.
Book 30 minutes
I've put AI tools into production at real companies and prototyped many more along the way. I've designed trust and governance infrastructure for AI systems, and spent years inside large organizations figuring out how to make this stuff actually work for people who aren't engineers.
At OneDigital, I was the AI Product Owner shaping adoption strategy and running their internal Builder program. At MassChallenge, I designed AI curriculum for entrepreneurs. Through Sundai Club, an MIT/Harvard AI hacker collective, I build something new almost every week.
I also co-founded Agentic Highway, where we're building trust infrastructure for AI agents. So when I talk about AI governance, I'm not referencing someone else's whitepaper. I'm writing the code.
The deeper arc of my career is in UX design — years building products at companies like Fidelity and Pearson. That foundation is why the AI tools I ship aren't just technically interesting. They're usable by the people who actually have to live with them.
I've also spent years running innovation workshops for executive teams at companies like Liberty Mutual, SOMPO, and Daikin through CIC's Captains of Innovation program. That work informed patents and new product lines. It also taught me that technology adoption lives and dies on whether leadership actually commits to it.
30 minutes on the phone. No pitch deck. I'll ask you what's going on with AI at your organization and tell you honestly if I can help.
Book a 30-minute call