From AI coding to AI-native delivery
Coding got dramatically faster. Getting healthcare software into production hasn't...until now.
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Your developers have AI. Does your SDLC?
AI can generate code in minutes. How long does it still take your organization to get a business need into production?
- 01 Where the bottleneck went — coding compressed; everything around it didn’t.
- 02 What has to change — AI across the whole SDLC, not just the build step.
- 03 What stays human — product decisions, architecture calls, accountability.
- 04 How to scale past a few developers — reusable context, standards and governance in the workflow.
- 05 Evidence, not theory — Detego Health on the decisions behind their AI-SDLC.
Your Event Speakers
Building AI-native healthcare software in the real world
Add AI to the platform, or rebuild the platform around it?
Detego Health took the second option — a new AI-native platform across Claims, Utilization Management and Care Management, which Productive Edge is building with them. They join the opening session to walk through the decisions and what it took to get to production.
Why rebuilding beat bolting AI onto traditional software.
Requirements, architecture, testing and release — not just the build step.
The standards, guardrails and governance that had to exist first.
Senior technology and digital leaders who own how software gets built.
Health plans · health systems and providers · outpatient and specialty care · life sciences and pharma · healthcare technology.
One morning, four conversations.
Each session takes one part of the SDLC and asks what has to change.
Registration, breakfast & networking
Arrive, eat, and meet other healthcare and health tech leaders before we start.
State of the union: AI across the healthcare SDLC
AI can write code in minutes, but production still takes months. Detego Health shares the decisions behind their own AI-SDLC shift.
Software factories: accelerating end-to-end delivery
Faster code doesn't help if everything around it still moves slow. Building repeatable ways to design and ship software faster.
Coffee break
Mid-morning break and networking.
Operating model for the AI era in healthcare
AI changes how teams work, not just what tools they use. New roles, and where humans should stay in the loop.
Low-code, pro-code, and citizen involvement
Good ideas don't only come from developers. Letting more people build software safely, without losing control.
The Location
Join us in beautiful St. Louis, MO at the Microsoft Innovation Hub
St. Louis Microsoft Innovation Hub
422 Duncan Ave.
St. Louis, MO 63110
Register for St. Louis Today!