
Early in my IT career, I was focused on the technology. Getting systems configured and live was the key to success. It had to be on-time and on-budget. Nothing else mattered.
Then, while working as an internal CRM systems manager at Texas Instruments, my boss came to me and said, "Jason, it is great you have the system up and running. But if you can't get people to use it, and the executives don't see value from it, we don't need it - or you. So you better figure it out!"
That moment hit me hard. I realized adoption wasn’t about training or communication campaigns - it was the key to unlocking technology value.
From that point on, I shifted my entire focus to helping leaders ensure their revenue technology investments produced measurable business outcomes, not just go-lives.
That experience showed me something important: technology succeeds or fails not because of its features, but because of how people use it. The question was never "did we deploy it?" It was "did it actually change how revenue gets made?"

Leaders usually reach out when:
• CRM or AI investments are live, but results are underwhelming
• Teams don’t trust the data and work around the system
• Adoption and revenue impact fades after launch and never reaches original projections
• A system technically works, but the original business problem was never solved
• AI feels promising, but risky to scale without stronger foundations
In most cases, the issue isn’t the tool. It’s how work actually gets done around it.
I've spent decades working at the intersection of revenue operations, CRM performance, and AI readiness, helping organizations close the gap between what their technology was supposed to deliver and what it actually produces.
My background combines deep experience in change and adoption with hands-on work around CRM, revenue systems, and organizational habits that determine whether those systems actually produce results. That lets me move between the boardroom and the ops layer, translating what leaders need into what teams actually do.
I’ve worked with organizations such as BP and Texas Instruments, supporting teams as they recover value from stalled systems, improve adoption, and create operating models that hold up under real-world pressure.
Getting a system live is rarely the hard part. Making it matter is.
Over the years, I’ve been brought into organizations at different stages:
Before major system launches when leaders need adoption and the revenue impact built in from day one, not retrofitted after go-live
After CRM implementations are live, but the systems are not used and not delivering needed business value
During AI pilots where leaders needed confidence the foundations were solid before scaling
I've spent my career at the intersection of revenue technology, organizational design, and operational execution - helping leaders close the gap between what their AI and CRM investments promised and what they actually deliver.
Along the way, I’ve led and advised teams across customer success, revenue operations, and go-to-market functions. I’ve seen firsthand how even well-funded initiatives can stall when adoption is treated as an afterthought, and how quickly momentum can return when teams are aligned around clear outcomes.
This perspective shapes how I approach every engagement. Practical, grounded, and focused on results that last beyond go-live.
I’m also the co-host of the Breakthrough SaaS Growth podcast, where I explore what actually drives revenue performance, customer outcomes, and long-term value in modern revenue organizations.
The conversations reflect the same themes that show up in my work every day: technology moves fast, but sustainable results still depend on people and how work gets done.
If you're a CRO or revenue leader responsible for making AI and CRM investments actually pay off, not just go live, I'm always open to a conversation to see how I can help.
NEWSLETTER
Practical insights on why CRM, AI, and revenue technology investments succeed or fail inside real revenue organizations.
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