<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Strategy on René Zander | AI Automation Consultant</title><link>https://renezander.com/tags/strategy/</link><description>Recent content in Strategy on René Zander | AI Automation Consultant</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 21 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://renezander.com/tags/strategy/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Agents: Build vs Buy (2026 Decision Framework)</title><link>https://renezander.com/guides/ai-agents-build-vs-buy/</link><pubDate>Sat, 11 Apr 2026 07:00:00 +0000</pubDate><guid>https://renezander.com/guides/ai-agents-build-vs-buy/</guid><description>&lt;p>Every week, a client asks me some version of this question: &amp;ldquo;Should we build our own AI agent or just use [product]?&amp;rdquo;&lt;/p>
&lt;p>The answer is never simple, but after building custom AI agent systems for production use, I have a clear framework for when each path makes sense.&lt;/p>
&lt;h2 id="what-is-an-ai-agent-not-what-you-think">What Is an AI Agent? (Not What You Think)&lt;/h2>
&lt;p>Most businesses asking about AI agents want one of three things:&lt;/p>
&lt;p>&lt;strong>1. An AI chatbot&lt;/strong> that answers questions about their product, knowledge base, or internal docs. This is the most common request. It is also the one most likely to be solved by buying, not building.&lt;/p></description></item></channel></rss>