Frontier capability → P&L impact
The gap most labs hit isn't the model — it's monetizing it inside the enterprise. My career is built on P&L discipline: revenue growth, net margin, and cost rationalization. I make advanced technology pay.
I'm Steven Levy — a technology executive with 20+ years building and scaling the high-trust engineering and architecture organizations that move advanced technology from promise to P&L. The hard part of frontier AI isn't the model — it's the org, the adoption, and the economics. That's the layer I've run for twenty years.
I run the business by constantly aligning business and technology to the objectives. Every initiative ladders up to a measurable outcome — that's the discipline of enterprise architecture.
Architected across every TOGAF domain
Frontier capability is necessary but not sufficient. Value shows up when the right organization adopts it, trusts it, and runs it at margin. I've spent my career on exactly that translation layer.
The gap most labs hit isn't the model — it's monetizing it inside the enterprise. My career is built on P&L discipline: revenue growth, net margin, and cost rationalization. I make advanced technology pay.
I built and scaled a North American architecture practice and have run transformation programs with 1,000+ consultants. As labs grow into enterprise scale, that's the organizational muscle that turns capability into delivery.
The hardest part of transformational tech is getting people to trust and adopt it. From a $400M M&A integration to unifying legacy estates, I align organizations around a shared vision — the prerequisite for enterprise AI.
Select a capability to ask the assistant how it shows up in my work.
Flagship initiatives where advanced technology produced measurable outcomes.
Delivered computer-vision capabilities into the full Infor CloudSuite ERP portfolio, and repeatedly fused deterministic and probabilistic workflows — so models augment the system of record instead of fighting it.
Built an AI approval automation that scores work orders for risk and routes each to the right approver — with the specific warnings and mitigation recommendations that approver needs. Faster decisions, fewer bad approvals, human still in the loop.
Architected a CI/CD pattern that diffs prompt output against a baseline on a schedule — catching model updates or code pushes that quietly break deterministic flows, in near-real time. Production AI you can actually trust.
Operator and builder — equally at home setting vision and owning the number.
An assistant that answers questions about my background and fit — built, naturally, into the page itself.
Ask about scale, AI adoption, P&L, M&A — or why Steve fits your team.
Ask anything about Steven Levy's experience, leadership, and fit for a frontier AI company.