<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Quality-Assurance on AI Charcha</title><link>https://www.aicharcha.com/tags/quality-assurance/</link><description>Recent content in Quality-Assurance on AI Charcha</description><image><title>AI Charcha</title><url>https://www.aicharcha.com/images/aicharcha-logo-refresh-1.svg</url><link>https://www.aicharcha.com/images/aicharcha-logo-refresh-1.svg</link></image><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 31 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.aicharcha.com/tags/quality-assurance/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Output Quality Assurance for Business Workflows</title><link>https://www.aicharcha.com/research/may-29-ai-output-quality-assurance/</link><pubDate>Fri, 29 May 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/research/may-29-ai-output-quality-assurance/</guid><description>A practical framework for scoring, reviewing, escalating, and improving AI-generated outputs before they affect customers, decisions, documents, operations, or published content.</description></item></channel></rss>