Seventeen years in enterprise technology consulting, including eight at Workday building the value engineering practice. Have advised on more than $500 million in technology investments, led 10+ global technology deployments, and designed and built multiple AI systems. Prior firms: Accenture, IBM, Motorola Solutions, Johnson Controls.
Value engineering is the discipline of making sure the value a technology promises actually shows up. It is about being intentional about the desired outcomes and designing your tools and processes to actually deliver the result. With AI, it's the part most companies are skipping.
I'm passionate about bringing my business and technology discipline to small and mid-sized businesses facing the transformative wave of AI capabilities. Independent of any vendor, my recommendations are always right-sized to what an operating business actually needs.
- Years in Technology
- 17
- Technology spend advised
- $500M+
- Global Implementations Led
- 10+
- Prior firms
- Accenture · IBM · Motorola · JCI
Engagement philosophy
Technology doesn't create value. Businesses designed around it do.
AI does not fix bad data. It does not rescue a poorly defined process. It does not work in a culture that resists changing how things get done. The prerequisites have not changed. What has changed is what gets rewarded. The companies winning with AI redesigned their core business processes around it.
Reimagine the right process. Not just any process.
The winners do two things at once. They pick a domain where the business actually needs to win, and they rewire it for AI. Apply AI to a process that does not matter, or never redesign the work itself, and you are leaving meaningful value on the table.
Leadership has to own it.
When the work gets delegated down and treated as someone else’s problem, the outcomes never stick. The decisions that decide whether AI lands, what to prioritize, what to stop, what good looks like, are leadership decisions.
It is a people change before it is a tech change.
Willingness to do things differently, and to invest in your own AI fluency, has to go all the way to the top. Without that, the tooling lands but the practice does not.
Value is the scoreboard.
Not usage, not adoption, not headlines. Hours back, capacity opened, revenue earned, risk reduced. If the business cannot see it on the income statement or feel it in the calendar, it did not happen.
Get in touch.
Send a short note about what you are working on. No pitch, no pressure. If it looks like a fit, we will set up a time to talk.