A Developer's Guide to Navigating the Build vs. Buy Decision for AI Systems
This article provides a practical framework for developers to make informed decisions between building or buying AI systems, considering factors like solution fit, operating capability, control and risk, and long-term ownership.
Why it matters
This article provides a practical, production-focused framework for developers to make informed decisions about building vs. buying AI systems, which has significant implications for long-term reliability and operational control.
Key Points
- 1Build vs. buy is not just a procurement question, but an operating model decision with consequences for reliability, incident response, and long-term ownership
- 2There are multiple levels of
- 3 and
- 4 options for AI systems, and most production systems end up being a hybrid approach
- 5Four key lenses to consider are solution fit, operating capability, control and risk, and long-term ownership
- 6Thorough testing, understanding failure modes, and defining incident response are critical for both build and buy decisions
Details
The article emphasizes that the build vs. buy decision for AI systems is not just about procurement, but rather an operating model decision that has significant implications for reliability engineering, incident response, and long-term ownership. It outlines the different levels of
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