I'm Will Godfrey - CTO and co-founder of R Squared AI, based in Iowa City, Iowa. I spent 9 years at McKinsey as a Digital Expert, which is a fancy way of saying I was the firm's leading global expert on front-office technology. Before that, I was at Appirio doing Salesforce consulting, and I've been a serial entrepreneur across that whole stretch. I've watched enterprise AI go from promise, to slideware, to actual production systems. I know what the hype looks like. I also know what works.
What we do at R Squared AI
We build production-grade AI agents for sales intelligence and revenue operations. We deploy in 2-8 weeks - not quarters. Working systems, not presentations. Our clients are PE-backed portfolio companies, insurance brokerages, and manufacturers who need outcomes, not another roadmap.
The model is forward-deployed. We're embedded with clients - think Palantir, not McKinsey. My co-founders are Rich Rivara (CEO), who has 35+ years building and scaling revenue operations, and Tyler Preisser (CPO), an engineer and builder who has been shipping production AI systems since before most vendors had a demo to show. Bottom line: this team has been in the room when things actually had to work.
Our value prop is simple. You own the outcome, we own the complexity.
What you're going to get from this newsletter
I'll tell you what this is not. It's not vendor marketing. It's not academic research. It's not a conference keynote written up as a blog post.
What it is: my unfiltered take on AI in revenue operations, bi-weekly. What's working in production. What's hype. What revenue leaders actually need to know - told from the perspective of someone who is embedded with a client at week 3 of an 8-week deployment right now.
Most people writing about AI agents have never had to explain to a CRO why the pipeline data is wrong, or hold a post-mortem after a model sent bad forecast signals to a sales team. I have. That context changes how you think about everything.
Play through it: if you're a revenue leader evaluating AI right now, you're getting pitched by vendors who built a demo, consultants who wrote a framework, and analysts who read the same press releases you did. The operator perspective - what actually breaks, what actually sticks, what the outcomes-based ROI actually looks like - that's not in any of those sources.
What it all boils down to is this: at the end of the day, the only thing that matters is whether the system produces outcomes in production. Not in a demo. Not in a sandbox. In the actual CRM, with the actual reps, on the actual pipeline.
That's what I write about. If that's useful to you, stick around.
-Will