<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai-Due-Diligence on SaaS Tech Watch</title><link>https://saastechwatch.com/tags/ai-due-diligence/</link><description>Recent content in Ai-Due-Diligence on SaaS Tech Watch</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 28 Jul 2026 09:00:00 +0000</lastBuildDate><atom:link href="https://saastechwatch.com/tags/ai-due-diligence/index.xml" rel="self" type="application/rss+xml"/><item><title>Procurement's AI Questionnaire Era: What Due Diligence Now Asks, and How to Answer It</title><link>https://saastechwatch.com/posts/2026-07-28-procurement-s-ai-questionnaire-era-what-due-diligence-now-asks-and-how/</link><pubDate>Tue, 28 Jul 2026 09:00:00 +0000</pubDate><guid>https://saastechwatch.com/posts/2026-07-28-procurement-s-ai-questionnaire-era-what-due-diligence-now-asks-and-how/</guid><description>&lt;p>The AI questionnaire is now a standard item in technical due diligence. It sits alongside the SOC 2 and the DPA as a precondition for vendor onboarding, and it is filling up with questions that did not exist eighteen months ago. The pattern is consistent across enterprise buyers: training-data provenance, evaluation practices, incident disclosure, and model-dependency mapping are the four sections where answers trip vendors up.&lt;/p>
&lt;p>This piece lays out what those sections actually demand, how prepared vendors are demonstrating competence, and how buyers should read answers that are short, polished and empty.&lt;/p></description></item></channel></rss>