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
Go to the source
diginomicadiginomica.com
Publisher excerpt: In part 2, our CIO community member reveals how FinOps and self-development reshape the SDLC