I'm Franz Stoneking.

I help organizations translate AI opportunity into measurable results.

Most companies know they need to move on AI. Fewer know how to do it in a way that's measurable, compliant, and built to last. That's the work I do — translating strategy into systems, and systems into outcomes executives can actually stand behind.

I started my career as an actuary, which taught me something that stays with me: the best analytical work isn't about the model, it's about what you're willing to stake on it. That instinct — toward rigor, accountability, and real-world consequence — shaped everything that came after.

Over 12 years I've led analytics and AI work across financial services, insurance, and manufacturing, growing from individual contributor to Director of AI Strategy. At Wells Fargo I built risk models and executive reporting systems under regulatory scrutiny. At Acrisure I led a team of data scientists driving 23% cross-sell growth and 12% churn reduction through propensity modeling. Most recently at Brady Corp, I designed and deployed the company's AI transformation — from customer service agents and data platform architecture to enterprise governance frameworks and board-level reporting.

I also co-founded Easy Source, an ML startup focused on candidate sourcing and resume optimization, which gave me a perspective on AI product development that pure enterprise work rarely does.

How I Work

I'm not a research-and-recommendations consultant. I build things.

My engagements typically move through three phases: diagnosing where AI can create disproportionate value, designing the architecture and governance structure to support it, and then getting hands-on with implementation — whether that's deploying a RAG system, standing up an agentic workflow, or building the measurement framework that tells you if it's working.

I'm comfortable presenting to a board and writing the Python that powers the demo. That range matters when organizations need someone who can hold the full picture.