AI transformation that drives EBITDA.
We help mid-market companies turn AI into real business results. Not pilots that stall. Not demos that impress and disappear. Actual value creation.
Most AI initiatives fail.
They start with technology and work backward. A shiny tool. A vendor pitch. A pilot that never scales.
We start with a different question: where can AI actually increase revenue, cut costs, or speed up operations? Then we make it happen.
The common approach (what doesn't work):
- Tech-first initiatives with no clear ROI
- AI pilots that never scale
- Disconnected from KPIs
- Built from tools backward
Start with the business problem.
The difference between AI experiments and AI value creation? Starting with business problems, not technology possibilities.
Identify highest-impact opportunities
I look at your operations, your costs, your revenue model. Where is there repetitive work? Where are you losing money to inefficiency? Where could speed create competitive advantage?
Run fast pilots tied to KPIs
No six-month discovery phases. We pick a specific problem, define success metrics, and prove value quickly.
Prove ROI and scale
Once something works, we expand it. Document what we learned. Build the playbook for the next initiative.
I've been doing this since before the hype.
I co-founded and ran an enterprise ML company for 10 years. We built and sold machine learning products before most people knew what machine learning was. 8-figure exit to a public company.
I've contributed to over $50 million in enterprise software sales. I know what it takes to turn technology into revenue.
PhD in Computer Science from Princeton. When I evaluate AI capabilities, I go deep. I know the difference between what's real and what's marketing.
Let's talk.
If you're trying to figure out where AI fits in your business, I can help you cut through the noise.