I design AI solutions, ship them, and teach the people who use them to build their own. Three years across multiple enterprise domains. Hands dirty, every day.
Whatever the function, procurement, operations, legal, sales; the pattern is the same. I take a team's actual work, build AI solutions on it alongside them, and teach them to keep building after I'm gone. Not demos. Not decks. Working tools on real workflows, owned by the people who use them.
AI must extend your thinking, not replace it. The effort to ensure that is what actually makes you sharper.
Most organizations skip straight to agentic without doing the reps. Augmentation teaches you how AI actually behaves. Automation teaches you to write tight instructions. Skip steps and you're automating broken processes faster.
AI fluency only develops when the learning and the doing are the same activity. Separate them and the training evaporates.
Reviewing AI's reasoning feels like thinking. It isn't. Once you see its output, you're anchored to its frame. Think first, then prompt.
This technology arrived for everyone simultaneously. The gap isn't expertise; it's who's been building and who's been watching.
S2C IQ was the first purpose-built AI solution for source-to-contract at Accenture. I designed it, built it, and trained 300+ practitioners across 120+ enterprise clients to use it within a year. Day 2 usage. 30–79% task-level speed gains. Behavioral change that sustained. Cited by Everest Group in Accenture's #1 Leader and Star Performer ranking for Procurement Outsourcing, 2025.
No engineering degree. No data science background. I built all of this through relentless curiosity, hands-on experimentation, and the same methodology I teach others. That's the point. AI fluency doesn't require technical pedigree. It requires methodology, real-world application, and reps.
If this resonates, I'd like to hear from you.