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LatestAI strategy

Why mid-market AI POCs fail to reach production — the structural diagnosis

The reason mid-market AI POCs fail is not buyer maturity. It is the vendor incentive structure. Four named paradigms produce the gap between demos and shipped systems.

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AI strategy

Vendor pricing predicts production outcome — the engineering decision treated as procurement

Consulting engagements paid for discovery are structurally worse than engineering engagements paid for shipped systems, regardless of credentials. Here is the proposal anatomy that reveals it.

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AI architecture

Data engineering is the AI engineer most vendors don't hire

The dominant share of the work that decides whether a mid-market AI system reaches production is data plumbing — not modelling. Here is what that work actually looks like.

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MLOps & operations

The on-call question — the engineering artifact that predicts AI production survival

If a vendor cannot tell you who is on call for the system they are about to build, the engagement is not ready to sign. Here is what an actual on-call rotation looks like.

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AI strategy

Production wins are boring — what mid-market AI deployments quietly become

The mid-market AI deployments that reach production look small, not transformative. Why the demo register hides the wins that actually compound.