I'm Stephen Mordue, an AI-native product and technology leader in San Francisco with 15+ years across medical devices, B2B / B2C apps, and consumer electronics. I build AI applications that ship and move margins, and I'd like to do that as your Chief Product Officer / Chief of AI Applications.
Viz.ai's AI-powered Care Pathways run in 2,000 US hospitals, combine EHR, imaging, and hospital data, serve health systems and life sciences, and Viz.ai was the first company awarded CMS reimbursement for AI. [1]
A clinician-reliance scorecard per pathway (alerts acted on, time-to-treatment, guideline adherence) so the roadmap optimizes for weekly use rather than deployment counts.
LLM agents that draft referrals, follow-ups, and trial-eligibility flags from Viz data, with clinician sign-off, extending value to life-sciences partners.
A release process that keeps new pathways and model updates audit-ready (FDA, QMS, HIPAA), from someone who has led a notified-body audit and built 510(k) files.
Also: early team at AliveCor (FDA 510(k) files, HIPAA), Stryker Endoscopy, Abbott Diabetes Care, and Micronics; VP of Product at Kenzen; 6 patents; B.S. Mechanical Engineering, University of Washington. I work AI-native every day in Cursor, Claude Code, ChatGPT, Copilot, and Grok.
Meet the leaders who own the outcomes, inventory live AI efforts and data, and agree on 3 measurable target metrics. Ship one working prototype against a real workflow.
Take the top use case to a production pilot with evals, guardrails, and a baseline. Publish a prioritized AI roadmap with build, buy, or partner calls for each capability.
Turn the pilot into a paved road other teams can reuse, report results in dollars and hours, and line up the next two bets with owners and dates.
If this is useful for the Chief Product Officer search or a related AI leadership need, I'd welcome 20 minutes.