the diginomica network - an inside view of a CIO replacing tools with in-house AI builds
A CIO chose to build AI internally instead of buying tools. Here's what the SDLC actually looks like now.
Why it matters
Case study of enterprise in-house AI development reshaping developer workflows and FinOps discipline. Practitioner-relevant for teams evaluating build vs. buy tradeoffs in the agentic era.
The key facts
10 to knowCIO case study (part 2 of series)
In-house AI builds replacing commercial tools
FinOps and self-development reshaping SDLC
No specific metrics, deployment scale, or adoption data disclosed
Interview-based narrative, not independent benchmarking
Part 2 of CIO community narrative (implies multi-part series with embedded practitioner insight)
FinOps methodology applied to internal AI builds
SDLC (software development lifecycle) restructuring mentioned as outcome
Tool replacement (vendor → in-house) framed as strategic choice
No specific AI model, agent deployment metrics, or ROI numbers disclosed in headline
The story so far
Earlier coverage of this storyline
Go to the source
diginomicadiginomica.com
Publisher excerpt: In part 2, our CIO community member reveals how FinOps and self-development reshape the SDLC