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Blog · AI & ML
Writing on the operating layer that decides whether enterprise AI ships. Evaluation discipline, retrieval architecture, governance, cost ceilings, and the failure modes we see most often in the field.
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78% of enterprise AI projects don't reach production. The reason isn't model quality: it's the operating substrate. Eval, governance, and deployment topology decide who ships.
What separates a RAG demo from a production-grade system. Twelve concrete items, in order, with the failure mode each one catches.
Models change every quarter. The dataset that tells you whether the new model is better than the old one for your workload is the asset that compounds. Most teams haven't started.