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    <title>Pattern Recognized</title>
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    <link>https://patternrecognized.podbean.com</link>
    <description><![CDATA[<p>Pattern Recognized is a plainspoken podcast about AI, work, power, and the human systems underneath it all. Hosted by Josh Bechtel, the show cuts through hype, panic, and magical thinking to explain what AI actually does, where it helps, where it fails, and why human judgment still matters.</p>]]></description>
    <pubDate>Fri, 05 Jun 2026 12:57:45 -0400</pubDate>
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        <copyright>Copyright 2026 All rights reserved.</copyright>
    <category>Technology</category>
    <ttl>1440</ttl>
    <itunes:type>episodic</itunes:type>
          <itunes:summary></itunes:summary>
        <itunes:author>kal75el</itunes:author>
<itunes:category text="Technology" />
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        <itunes:name>kal75el</itunes:name>
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        <title>Pattern Recognized</title>
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    <item>
        <title>E7: Why AI Adoption Should Start With the Human Layer, Not the Machine Layer</title>
        <itunes:title>E7: Why AI Adoption Should Start With the Human Layer, Not the Machine Layer</itunes:title>
        <link>https://patternrecognized.podbean.com/e/e7-why-ai-adoption-should-start-with-the-human-layer-not-the-machine-layer/</link>
                    <comments>https://patternrecognized.podbean.com/e/e7-why-ai-adoption-should-start-with-the-human-layer-not-the-machine-layer/#comments</comments>        <pubDate>Fri, 05 Jun 2026 12:57:45 -0400</pubDate>
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                                    <description><![CDATA[<p>Most organizations "do AI" by handing it to the engineers, and six months later nothing about the real work has changed. In this episode, Josh makes the case that AI adoption fails at the human layer, not the machine layer. He explains why most failures are baked in before an engineer ever touches a tool, and why the people best suited to lead adoption are often the ones every org wrote off as a support function. Along the way he draws a hard line: the market took two different jobs, AI implementation and AI adoption, and stapled them into one job description. Whether your rollout stalled or you are realizing the door is open to you, this one is for you.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Most organizations "do AI" by handing it to the engineers, and six months later nothing about the real work has changed. In this episode, Josh makes the case that AI adoption fails at the human layer, not the machine layer. He explains why most failures are baked in before an engineer ever touches a tool, and why the people best suited to lead adoption are often the ones every org wrote off as a support function. Along the way he draws a hard line: the market took two different jobs, AI implementation and AI adoption, and stapled them into one job description. Whether your rollout stalled or you are realizing the door is open to you, this one is for you.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/wkc3zg6c4nkp4teh/Pattern_recognized_E7bdtwo.mp3" length="25314951" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Most organizations "do AI" by handing it to the engineers, and six months later nothing about the real work has changed. In this episode, Josh makes the case that AI adoption fails at the human layer, not the machine layer. He explains why most failures are baked in before an engineer ever touches a tool, and why the people best suited to lead adoption are often the ones every org wrote off as a support function. Along the way he draws a hard line: the market took two different jobs, AI implementation and AI adoption, and stapled them into one job description. Whether your rollout stalled or you are realizing the door is open to you, this one is for you.]]></itunes:summary>
        <itunes:author>kal75el</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1582</itunes:duration>
                <itunes:episode>7</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
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    <item>
        <title>E6: The Real ROI of AI - What to Measure and When</title>
        <itunes:title>E6: The Real ROI of AI - What to Measure and When</itunes:title>
        <link>https://patternrecognized.podbean.com/e/e6-the-real-roi-of-ai-what-to-measure-and-when/</link>
                    <comments>https://patternrecognized.podbean.com/e/e6-the-real-roi-of-ai-what-to-measure-and-when/#comments</comments>        <pubDate>Wed, 03 Jun 2026 16:13:32 -0400</pubDate>
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                                    <description><![CDATA[<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Everyone wants to know if AI is working. The problem is when they ask, and what they reach for to answer it. Most leaders grab a stopwatch three weeks in and wonder why the numbers are disappointing. They are not measuring the wrong tool. They are measuring the right tool at the wrong time.</p>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">In this episode, Josh Bechtel walks through how to read the real return on AI investment without getting fooled by the obvious metric. You will learn why "time saved" is a trap in the first month, the crucial difference between efficiency ROI and capability ROI, and exactly what to measure in week one, month one, and month three. Josh also covers how to set expectations with leadership before they pull the plug during the dip, and how to build a simple tracking dashboard using tools you already have.</p>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">No magic formula. No hype. Just a better way to tell whether your AI investment is heading somewhere worth going.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">Everyone wants to know if AI is working. The problem is when they ask, and what they reach for to answer it. Most leaders grab a stopwatch three weeks in and wonder why the numbers are disappointing. They are not measuring the wrong tool. They are measuring the right tool at the wrong time.</p>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">In this episode, Josh Bechtel walks through how to read the real return on AI investment without getting fooled by the obvious metric. You will learn why "time saved" is a trap in the first month, the crucial difference between efficiency ROI and capability ROI, and exactly what to measure in week one, month one, and month three. Josh also covers how to set expectations with leadership before they pull the plug during the dip, and how to build a simple tracking dashboard using tools you already have.</p>
<p class="font-claude-response-body break-words whitespace-normal leading-[1.7]">No magic formula. No hype. Just a better way to tell whether your AI investment is heading somewhere worth going.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/jhbt6eainqib6m89/Pattern_recognized_E6_2026-06-03bs8e2.mp3" length="20196205" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Everyone wants to know if AI is working. The problem is when they ask, and what they reach for to answer it. Most leaders grab a stopwatch three weeks in and wonder why the numbers are disappointing. They are not measuring the wrong tool. They are measuring the right tool at the wrong time.
In this episode, Josh Bechtel walks through how to read the real return on AI investment without getting fooled by the obvious metric. You will learn why "time saved" is a trap in the first month, the crucial difference between efficiency ROI and capability ROI, and exactly what to measure in week one, month one, and month three. Josh also covers how to set expectations with leadership before they pull the plug during the dip, and how to build a simple tracking dashboard using tools you already have.
No magic formula. No hype. Just a better way to tell whether your AI investment is heading somewhere worth going.]]></itunes:summary>
        <itunes:author>kal75el</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1262</itunes:duration>
                <itunes:episode>6</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
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    <item>
        <title>E5: How to Write a Prompt That Actually Works</title>
        <itunes:title>E5: How to Write a Prompt That Actually Works</itunes:title>
        <link>https://patternrecognized.podbean.com/e/e5-how-to-write-a-prompt-that-actually-works/</link>
                    <comments>https://patternrecognized.podbean.com/e/e5-how-to-write-a-prompt-that-actually-works/#comments</comments>        <pubDate>Thu, 28 May 2026 14:39:26 -0400</pubDate>
        <guid isPermaLink="false">patternrecognized.podbean.com/3d701c8e-ae90-3573-81ca-6eb454febae8</guid>
                                    <description><![CDATA[<p>Prompting is the new literacy and most people are doing it the way they used to Google things: throwing keywords at the screen and hoping. This episode teaches the fundamentals of prompting in plain language, with real before-and-after examples your listeners can try immediately</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Prompting is the new literacy and most people are doing it the way they used to Google things: throwing keywords at the screen and hoping. This episode teaches the fundamentals of prompting in plain language, with real before-and-after examples your listeners can try immediately</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/4i3rttn4xdu7uwnp/Pattern_recognized_E5_2026-05-28axftz.mp3" length="48462785" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Prompting is the new literacy and most people are doing it the way they used to Google things: throwing keywords at the screen and hoping. This episode teaches the fundamentals of prompting in plain language, with real before-and-after examples your listeners can try immediately]]></itunes:summary>
        <itunes:author>kal75el</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3028</itunes:duration>
                <itunes:episode>5</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>E4: The Five Mistakes Organizations Make in Week One</title>
        <itunes:title>E4: The Five Mistakes Organizations Make in Week One</itunes:title>
        <link>https://patternrecognized.podbean.com/e/e4-the-five-mistakes-organizations-make-in-week-one/</link>
                    <comments>https://patternrecognized.podbean.com/e/e4-the-five-mistakes-organizations-make-in-week-one/#comments</comments>        <pubDate>Fri, 22 May 2026 15:38:07 -0400</pubDate>
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                                    <description><![CDATA[<p>AI adoption can go sideways before anyone realizes it. In this episode of Pattern Recognized, we break down the five predictable mistakes organizations make in the first week of AI rollout: tool excitement without a plan, one-hour training that never becomes practice, accidental AI departments of one, missing policies, and measuring the wrong things too early. More importantly, we look at how to catch these mistakes early and turn AI adoption into something useful, measurable, and human-centered.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>AI adoption can go sideways before anyone realizes it. In this episode of <em>Pattern Recognized</em>, we break down the five predictable mistakes organizations make in the first week of AI rollout: tool excitement without a plan, one-hour training that never becomes practice, accidental AI departments of one, missing policies, and measuring the wrong things too early. More importantly, we look at how to catch these mistakes early and turn AI adoption into something useful, measurable, and human-centered.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/epsvcp22bs2wjbpu/Pattern_recognized_E4_2026-05_227q5e5.mp3" length="25409828" type="audio/mpeg"/>
        <itunes:summary><![CDATA[AI adoption can go sideways before anyone realizes it. In this episode of Pattern Recognized, we break down the five predictable mistakes organizations make in the first week of AI rollout: tool excitement without a plan, one-hour training that never becomes practice, accidental AI departments of one, missing policies, and measuring the wrong things too early. More importantly, we look at how to catch these mistakes early and turn AI adoption into something useful, measurable, and human-centered.]]></itunes:summary>
        <itunes:author>kal75el</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1588</itunes:duration>
                <itunes:episode>4</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>E3: The Crawl-Walk-Run Framework for AI Adoption</title>
        <itunes:title>E3: The Crawl-Walk-Run Framework for AI Adoption</itunes:title>
        <link>https://patternrecognized.podbean.com/e/e3-the-crawl-walk-run-framework-for-ai-adoption/</link>
                    <comments>https://patternrecognized.podbean.com/e/e3-the-crawl-walk-run-framework-for-ai-adoption/#comments</comments>        <pubDate>Wed, 20 May 2026 08:41:02 -0400</pubDate>
        <guid isPermaLink="false">patternrecognized.podbean.com/c1931587-cf3a-3857-b73e-b6f7cf578e82</guid>
                                    <description><![CDATA[<p>Today on Pattern Recognized, we are talking about AI skill and readiness. Specifically, where you and your organization actually stand in its ability to use AI effectively, and why almost every organization that fails at this misreads its position the same way.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Today on Pattern Recognized, we are talking about AI skill and readiness. Specifically, where you and your organization actually stand in its ability to use AI effectively, and why almost every organization that fails at this misreads its position the same way.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/zz2zj5fjpe4jwd98/Pattern_recognized_E3_05-19-2026acn7n.mp3" length="23531102" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Today on Pattern Recognized, we are talking about AI skill and readiness. Specifically, where you and your organization actually stand in its ability to use AI effectively, and why almost every organization that fails at this misreads its position the same way.]]></itunes:summary>
        <itunes:author>kal75el</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1470</itunes:duration>
                <itunes:episode>3</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>E2: Shadow AI, Why Your Teams Are Already Using AI Before You Know</title>
        <itunes:title>E2: Shadow AI, Why Your Teams Are Already Using AI Before You Know</itunes:title>
        <link>https://patternrecognized.podbean.com/e/e2-shadow-ai-why-your-teams-are-already-using-ai-before-you-know/</link>
                    <comments>https://patternrecognized.podbean.com/e/e2-shadow-ai-why-your-teams-are-already-using-ai-before-you-know/#comments</comments>        <pubDate>Wed, 13 May 2026 14:37:55 -0400</pubDate>
        <guid isPermaLink="false">patternrecognized.podbean.com/455cb833-42ef-3442-8fd7-3fab0f8ed784</guid>
                                    <description><![CDATA[<p>Shadow AI is real and it is happening in many organizations right now. This episode pulls back the curtain on what your staff is already doing with tools like ChatGPT and Claude, why they are doing it quietly, and what that means for your organization. The goal is not to scare leaders but to shift them from reaction to intention.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Shadow AI is real and it is happening in many organizations right now. This episode pulls back the curtain on what your staff is already doing with tools like ChatGPT and Claude, why they are doing it quietly, and what that means for your organization. The goal is not to scare leaders but to shift them from reaction to intention.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/8jisbxwrb4jenzs2/Pattern_recognized_E2_2026-05-11_11-13-137qwkj.mp3" length="14479777" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Shadow AI is real and it is happening in many organizations right now. This episode pulls back the curtain on what your staff is already doing with tools like ChatGPT and Claude, why they are doing it quietly, and what that means for your organization. The goal is not to scare leaders but to shift them from reaction to intention.]]></itunes:summary>
        <itunes:author>kal75el</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>904</itunes:duration>
                <itunes:episode>2</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>E1: What AI Actually Is</title>
        <itunes:title>E1: What AI Actually Is</itunes:title>
        <link>https://patternrecognized.podbean.com/e/what-ai-actually-is/</link>
                    <comments>https://patternrecognized.podbean.com/e/what-ai-actually-is/#comments</comments>        <pubDate>Mon, 11 May 2026 13:24:45 -0400</pubDate>
        <guid isPermaLink="false">patternrecognized.podbean.com/ac6cf09e-d9ef-34f2-82cc-5389e1a5cef1</guid>
                                    <description><![CDATA[<p>I am not going to tell you AI is going to change everything. In this episode, I am going to tell you something of what AI actually is, because once you know that, the hype gets a lot easier to ignore and the tools’ power becomes more evident.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>I am not going to tell you AI is going to change everything. In this episode, I am going to tell you something of what AI actually is, because once you know that, the hype gets a lot easier to ignore and the tools’ power becomes more evident.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/usv5xiup2ravrgkr/Pattern_recognized_E1_2026-05-11_10-23-0088gyo.mp3" length="9149126" type="audio/mpeg"/>
        <itunes:summary><![CDATA[I am not going to tell you AI is going to change everything. In this episode, I am going to tell you something of what AI actually is, because once you know that, the hype gets a lot easier to ignore and the tools’ power becomes more evident.]]></itunes:summary>
        <itunes:author>kal75el</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>571</itunes:duration>
                <itunes:episode>1</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
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