Tim Seims

I’ve spent 30 years in building products the hard way: selling siding and trusses off a lumberyard counter in Bellingham, running national accounts, building segment GTM strategies at Nichiha and James Hardie, and forecasting adoption curves at John Burns. Now I’m applying all of it to the next shift: agentic AI for building products go-to-market at Monarch GTM. Core philosophy: “Easy to Buy, Easy to Sell.” Core lens: Adoption Curve dynamics. Even game-changing building solutions fail if they’re painful to procure. And here’s the paradox that drives my work: we have more ConTech than ever (AI-powered BIM, digital twins, robotics), yet the commercial side of the industry, how products get specified, priced, sold, and bought, still runs on friction. Companies measure fulfillment and call it demand creation. That’s the problem I’m building against. Artificial intelligence is creating unprecedented demand for physical infrastructure while exposing the limits of how we design, finance and b