What does it take to modernize healthcare infrastructure when uptime is not just an SLA, but a patient outcome?

In this episode, Amir talks with Jeff Sponaugle, CTO of Surescripts, about building and operating mission critical healthcare systems, navigating the move from on premises infrastructure to the cloud, and figuring out where AI can create real value without compromising reliability. It is a sharp conversation on engineering judgment, modernization, workforce evolution, and why technical leadership still needs real technical depth.

What stood out

Cloud migration in healthcare is not just a cost or architecture decision. It is a reliability decision with real downstream impact on patients.

The best reliability strategy is not pretending nothing will ever break. It is designing systems so the customer never feels the break.

In regulated industries, structure can be an advantage. Standardized data and consistent formats make AI more useful, especially in healthcare.

AI can already improve the patient and clinician experience in practical ways, from transcription to summarizing complex records and surfacing relevant context faster.

Technical leaders cannot afford to drift too far from the work. Jeff makes the case that strong CTOs stay close enough to the technology to understand the tradeoffs, guide teams well, and spot what matters next.

Timestamped Highlights

00:00
Jeff Sponaugle joins the show to unpack mission critical technology in healthcare, cloud migration, AI, and workforce upskilling.

01:57
Why Surescripts sits in a critical layer of healthcare, and why reliability matters when prescriptions need to move in real time.

04:02
A simple but powerful view of reliability: things will break, but the customer should not know they broke.

06:47
How to adopt new technology without risky hard cutovers, and why parallel systems matter in high stakes environments.

08:53
Upskilling legacy teams, preserving tribal knowledge, and why continuous learning matters more than any single technical skill.

11:58
How regulation can actually help AI in healthcare by creating more consistency in the data.

17:33
Where AI and agentic systems could create meaningful value in prescribing, diagnostics, and clinical workflows.

20:29
Why AI has changed executive and boardroom conversations in a way cloud migration never did.

A line worth remembering

“The customer should not know that something broke.”

Pro Tips

If you are modernizing a high stakes platform, avoid the big overnight cutover. Run systems in parallel where possible and learn behind the scenes before customers ever feel the change.

If you lead technical teams, do not treat upskilling as a one time event. Give people a path to split time between legacy work and emerging systems so the transition is real and sustainable.

If you are evaluating AI in a regulated environment, start with narrow, useful workflows where context, speed, and summarization matter, then expand from there.

Stay connected

If you enjoyed this episode, follow the show, subscribe wherever you listen, and share it with someone building in healthcare, cloud infrastructure, or AI. You can also connect with Amir on LinkedIn for more conversations at the intersection of technology, leadership, and the future of work.