<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Failure-Modes | Law Zava</title><link>https://lawzava.com/topics/failure-modes/</link><description>Systems engineering, AI infrastructure, and technical leadership at scale.</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 21 Apr 2026 21:45:56 +0000</lastBuildDate><atom:link href="https://lawzava.com/topics/failure-modes/index.xml" rel="self" type="application/rss+xml"/><item><title>Why Most Enterprise AI Architecture Fails in Year One</title><link>https://lawzava.com/blog/2026-04-21-enterprise-ai-architecture-fails/</link><pubDate>Tue, 21 Apr 2026 00:00:00 +0000</pubDate><guid>https://lawzava.com/blog/2026-04-21-enterprise-ai-architecture-fails/</guid><description>In 2026, enterprise AI isn&amp;amp;rsquo;t failing because models are bad. It is failing because organizations are building brittle demos instead of bounded, operable systems.</description></item></channel></rss>