Resources
Practical guidance on putting AI to work in your business.
AI Second Opinion: The Day AI Saved Me a Vet Trip
A hundred and fifty dollars. That is about what a vet visit costs before anyone even touches your dog. Keep that number in mind,...
AI for Engineering Firms: Why I Started Obnovit
It was January 2025, a cold one, and I was in my home office on a virtual coaching call with a handful of other...
Responsible AI Use: The Report That Got an Engineer Fired
One unread report. That’s what ended an engineer’s career at a large company. I like to open sessions with this story because it’s the...
The AI Voice That Calms My Daughters’ Tantrums
We have two daughters, ages 4 and 5. If you’ve had kids in that window, you already know what that sentence means. Somewhere between...
Why A Diagnosis Is Needed Before We Build
When a process system underperforms, no competent engineer rips it out and installs a new one on a hunch. They instrument it, find where...
AI ROI for Engineering Firms: The Complete Business Case Guide
The Executive-Finance Squeeze: AI ROI Every week I talk with engineering managers and principals caught in the same squeeze: CEO wants AI because competitors...
The 8 Beliefs Keeping Engineering Firms Stuck on AI
Key Takeaways: Engineering firms are blocked by belief systems that do not respond to feature lists or vendor demos, and addressing those beliefs is...
The Efficiency Trap
Key Takeaways: UC Berkeley researchers found that AI did not free up workers’ time but instead intensified their workload, which means leaders must decide...
Why AI Integration Fails Without the Engineering Mindset (And the 3-Phase Fix)
Key Takeaways Only 27% of architecture, engineering, and construction (AEC) firms currently use AI, yet 94% of those who do plan to expand usage—creating...
The Pilot-to-Production Problem: Why Engineering AI Initiatives Stall and How to Fix
Key Takeaways Most AI initiatives in engineering organizations fail because no one designs the transition from pilot to production. The technology works. The operating...
You Don’t Have a Starting Point Problem
Key Takeaways: “I don’t know where to start” is the most common AI adoption blocker, and it masks a deeper fear of looking incompetent...
AI in Engineering: Information Is Cheap, Judgment Is the Moat
Key Takeaways: AI commoditizes information, and it cannot commoditize judgment, taste, empathy, or the courage to make difficult decisions under pressure. The engineers most...