Operators who ship production AI.

Enterprise AI Studio is a specialized implementation firm led by Kevin Owens, a four-time Chief Product Officer with a track record of taking AI from prototype to production inside enterprise B2B SaaS, healthcare workflow, and operating-model transformations.

Founder

Kevin Owens — Founder & Principal.

Kevin is a product, engineering, and transformation executive who has been building software for two decades and AI-enabled systems for the last several years. He has held CPO roles across four B2B SaaS companies and is a graduate of USC's Marshall School of Business.

Background

Kevin's career spans hands-on engineering, product leadership, and operating-model design. He has personally led product organizations through cloud, mobile, data platform, and now AI transitions — and has shipped AI systems that survive production load, audit, and a Monday morning.

  • Four-time CPO across enterprise B2B SaaS, productivity, healthcare workflow, and AI tooling.
  • Operator-first: he scopes work the way an executive does, then implements like an engineer who has been on call.
  • Model-agnostic: production experience with frontier models (Claude, OpenAI), open-weight stacks, and retrieval/eval infrastructure.
  • USC Marshall graduate; based in Los Angeles, working with teams across the US, UK, and EU.

How Kevin works

Kevin is hands-on. He scopes engagements directly with the customer, owns the architecture and eval design, and stays accountable through production launch. For longer engagements he assembles a dedicated team of senior AI engineers around a single point of accountability — him.

What he refuses: vague pilots, demo-grade systems shipped to real users, governance bolted on after launch, and "innovation theatre" that doesn't move a real workflow metric.

How we work

Three principles that shape every engagement.

Production from day one

Every system we build is designed for thousands of repeated runs — with evals, monitoring, fallback paths, and runbooks. No demo-grade code in production paths.

Governance baked in

Audit trails, RBAC, escalation protocols, and security review are designed into the architecture, not bolted on. SOC 2 / HIPAA contexts welcomed.

Operator accountability

One senior owner per engagement. We answer to your operating-model goals, not just feature velocity. Engagements close with a real handoff or roll into retainer.

Team Model

A senior owner, plus the right specialists for each engagement.

Enterprise AI Studio operates a partner-and-specialist model. Kevin is the senior owner across every engagement; the specialist team flexes around the work.

Senior AI engineers (specialist bench)

Production AI builders with deep experience in evals, retrieval, agent orchestration, and platform-level reliability. We bring in the right specialist for each engagement rather than billing one shape of engineer for every problem.

ProductExec — strategy partner

For clients who need to decide what AI to build before they build it, we partner with ProductExec on AI operating-model design and roadmap work. Many clients run strategy with ProductExec, then implementation with Enterprise AI Studio.

productexec.co →
What's next

If you're moving AI into production, we should talk.

Most engagements start with a single 30-minute conversation. We'll listen to the workflow you're trying to change, name the constraints, and tell you whether a sprint, retainer, or governance engagement is the fastest path to production.