Archive
Category: AI
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Where enterprise AI programs fail first: system boundaries, retrieval design, and operational ownership
The first place enterprise AI initiatives fail is rarely the model endpoint. They fail at the architecture boundary nobody made explicit: system-of-record ownership, safe retrieval, human override, and…
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Modern integration architecture in the AI era: pitfalls and common patterns
A practical look at how integration architecture decisions shape AI-era delivery, from system boundaries and retrieval freshness to fallback paths, ownership, and observability.