Beyond Build or Buy
The New Software Equation
For decades, IT leaders had two unsatisfying choices. AI introduces a third.
For decades, the software economics equation held steady. Custom development meant $2M+ and 18-24 months. Off-the-shelf meant compromising on the features that mattered most. Healthcare organizations made peace with the trade-off, building elaborate workarounds or simply accepting that certain problems were too expensive to solve.
Now, something fundamental shifted. AI hasn't just made development faster, it has made entirely new categories of products economically viable, including ones built to maintain themselves.
What You'll Learn
- Why build vs. buy no longer captures what's possible.
- How autonomous AI changes the economics of solving hard problems.
- What AI-native products actually look like in production.
- How to choose which "impossible" problem to tackle first.
Why It Matters
Some of your organization's most expensive operational problems aren't expensive because they lack solutions. They're expensive because comprehensive solutions used to cost more than they could ever return. That math just changed, and the organizations moving first will define what the next era of health software looks like.
The autonomous product era has arrived. The question is no longer whether you can afford to solve your hardest operational challenges. It's which one to tackle first. Download the guide to see how the math has changed and what becomes possible when products maintain themselves.