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    <title>Decision Design Podcast</title>
    <link>https://insynergy-jp.github.io/Insynergy-Podcast/</link>
    <description>Insynergy's podcast on Decision Design, AI governance, judgment, authority, accountability, and organizational structure.</description>
    <language>en</language>
    <copyright>Copyright 2026 Insynergy Inc.</copyright>
    <itunes:author>Ryoji Morii</itunes:author>
    <itunes:summary>Insynergy's podcast on Decision Design, AI governance, judgment, authority, accountability, and organizational structure.</itunes:summary>
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      <itunes:name>Ryoji Morii</itunes:name>
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    <item>
      <title>AI Companies Have Started Asking Who Decides</title>
      <link>https://insynergy.io/insights/ai-companies-have-started-asking-who-decides</link>
      <description>Frontier AI companies are beginning to argue for stronger brakes and public oversight. This episode explains why the deeper enterprise challenge is not AI capability but the allocation of legitimate judgment authority, and how Decision Boundaries and Decision Logs keep accountability from disappearing.

Read the full Insynergy Insight:
https://insynergy.io/insights/ai-companies-have-started-asking-who-decides</description>
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      <pubDate>Fri, 07 Aug 2026 18:30:05 +0900</pubDate>
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      <title>Toward Decision Design: The Authority Problem in AI-Augmented Organizations</title>
      <link>https://insynergy.io/insights/decision-design-the-authority-problem-in-ai-augmented-organizations</link>
      <description>AI-driven headcount reductions cut execution costs but can quietly remove the institutional capacity to judge, escalate, remember, and take responsibility. This episode examines why human presence is not enough and how Decision Design uses explicit Decision Boundaries and Decision Logs to preserve authority in AI-augmented organizations.

Read the full Insynergy Insight:
https://insynergy.io/insights/decision-design-the-authority-problem-in-ai-augmented-organizations</description>
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      <pubDate>Fri, 07 Aug 2026 18:11:28 +0900</pubDate>
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      <itunes:episode>72</itunes:episode>
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      <itunes:duration>00:11:49</itunes:duration>
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    <item>
      <title>The Fourth Layer: Beyond AI, Robotics, and Supply Chains — The Coming Competition for Judgment Architecture</title>
      <link>https://insynergy.io/insights/the-fourth-layer-judgment-architecture-in-humanoid-robotics</link>
      <description>Humanoid robotics is framed as a race in intelligence, industrial capacity, and supply chains, but a fourth competitive layer will determine who can deploy autonomous systems legitimately. This episode examines Judgment Architecture as the discipline for structuring authority, accountability, and Decision Boundaries when machines act throughout an organization.

Read the full Insynergy Insight:
https://insynergy.io/insights/the-fourth-layer-judgment-architecture-in-humanoid-robotics</description>
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      <pubDate>Fri, 07 Aug 2026 17:42:16 +0900</pubDate>
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      <itunes:episode>71</itunes:episode>
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      <itunes:duration>00:11:50</itunes:duration>
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    <item>
      <title>Physical AI and the Judgment Layer: Why Japan's Robotics Strategy Is an Institutional Challenge, Not a Modeling One</title>
      <link>https://insynergy.io/insights/physical-ai-judgment-layer-japan-robotics-strategy</link>
      <description>Japan's robotics strategy combines industrial expertise, physical-world data, and domestic AI capability, but its binding constraint is institutional judgment rather than model performance. This episode examines who decides when autonomous systems act in production and how Decision Boundaries and Decision Logs can make authority and accountability explicit.

Read the full Insynergy Insight:
https://insynergy.io/insights/physical-ai-judgment-layer-japan-robotics-strategy</description>
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      <pubDate>Fri, 07 Aug 2026 17:23:49 +0900</pubDate>
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      <itunes:episode>70</itunes:episode>
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      <itunes:duration>00:12:59</itunes:duration>
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    </item>
    <item>
      <title>Who Decided? AI Governance Has a Judgment Problem</title>
      <link>https://insynergy.io/insights/who-decided-ai-governance-authority-allocation</link>
      <description>AI increasingly shapes the information on which people buy, litigate, and vote, while institutions still treat the resulting choices as purely human. This episode examines invisible judgment delegation and explains why AI governance must explicitly allocate authority through Decision Boundaries and preserve accountability through Decision Logs.

Read the full Insynergy Insight:
https://insynergy.io/insights/who-decided-ai-governance-authority-allocation</description>
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      <pubDate>Fri, 07 Aug 2026 17:05:10 +0900</pubDate>
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      <itunes:episode>69</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:11:26</itunes:duration>
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    <item>
      <title>The Empty Chair at the Center of the Machine</title>
      <link>https://insynergy.io/insights/empty-chair-decision-design-ai-governance</link>
      <description>Human dignity becomes a concrete governance problem when AI performs the substance of judgment while people retain only formal authority and liability. This episode examines the empty chair created by ritualized human control and explains how Decision Boundaries and Decision Logs can reconnect judgment, authority, and accountability.

Read the full Insynergy Insight:
https://insynergy.io/insights/empty-chair-decision-design-ai-governance</description>
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      <pubDate>Fri, 07 Aug 2026 16:42:22 +0900</pubDate>
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      <itunes:episode>68</itunes:episode>
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      <itunes:duration>00:10:19</itunes:duration>
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    <item>
      <title>When AI Enters the Law Firm, What Really Changes Is Not the Work — It Is the Judgment</title>
      <link>https://insynergy.io/insights/when-ai-enters-the-law-firm-judgment-architecture</link>
      <description>Legal AI promises faster review, research, and drafting, but the deeper change is where judgment occurs and who can legitimately claim to have exercised it. This episode examines ritualized human oversight in law firms and explains how Decision Boundaries and Decision Logs can preserve professional accountability when confirmation replaces substantive review.

Read the full Insynergy Insight:
https://insynergy.io/insights/when-ai-enters-the-law-firm-judgment-architecture</description>
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      <pubDate>Fri, 07 Aug 2026 16:25:01 +0900</pubDate>
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      <itunes:episode>67</itunes:episode>
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      <itunes:duration>00:09:43</itunes:duration>
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    <item>
      <title>The Quiet Collapse of the Apprenticeship Layer</title>
      <link>https://insynergy.io/insights/quiet-collapse-of-the-apprenticeship-layer</link>
      <description>AI is not only automating entry-level work. It is removing the tasks through which inexperienced people historically became capable professionals. This episode examines the hidden apprenticeship layer inside ordinary work, why skills training cannot replace judgment formation, and what organizations must redesign before the next generation of expertise disappears.

Read the full Insynergy Insight:
https://insynergy.io/insights/quiet-collapse-of-the-apprenticeship-layer</description>
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      <pubDate>Fri, 07 Aug 2026 16:09:48 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-066-quiet-collapse-of-the-apprenticeship-layer.mp3" length="11799757" type="audio/mpeg" />
      <itunes:episode>66</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:11:19</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>When Nobody Actually Decided: Judgment Authority in AI-Augmented Organizations</title>
      <link>https://insynergy.io/insights/when-nobody-actually-decided-judgment-authority-ai-organizations</link>
      <description>AI-augmented workflows can produce consequential outcomes even when no one can locate the moment of decision. This episode examines shadow AI as a proliferation of unauthorized judgment surfaces and explains how explicit Decision Boundaries, authority allocation, and Decision Logs restore accountability across human and machine actors.

Read the full Insynergy Insight:
https://insynergy.io/insights/when-nobody-actually-decided-judgment-authority-ai-organizations</description>
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      <pubDate>Fri, 07 Aug 2026 15:55:05 +0900</pubDate>
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      <itunes:episode>65</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:11:59</itunes:duration>
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    </item>
    <item>
      <title>The Real Problem Is Not Whether AI Was Used — It Is Who Owns the Judgment</title>
      <link>https://insynergy.io/insights/the-real-problem-is-not-ai-use-but-judgment-ownership</link>
      <description>Institutions increasingly ask whether AI was used, but that question misses the real issue. This episode explains why authorship and accountability rest on ownership of judgment rather than manual production, and how Decision Boundaries and Decision Logs make that ownership explicit when human and AI contributions are intertwined.

Read the full Insynergy Insight:
https://insynergy.io/insights/the-real-problem-is-not-ai-use-but-judgment-ownership</description>
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      <pubDate>Fri, 07 Aug 2026 15:00:33 +0900</pubDate>
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      <itunes:episode>64</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:11:23</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>The Real Problem With Agentic AI Is Not Autonomy. It Is Undesigned Authority</title>
      <link>https://insynergy.io/insights/the-real-problem-with-agentic-ai-is-undesigned-authority</link>
      <description>Agentic AI does not primarily fail because it is autonomous. It exposes authority structures that organizations never designed. This episode explains why guardrails and human-in-the-loop controls are insufficient without explicit Decision Boundaries, genuine transfers of judgment, and Decision Logs that preserve accountability across human and machine action.

Read the full Insynergy Insight:
https://insynergy.io/insights/the-real-problem-with-agentic-ai-is-undesigned-authority</description>
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      <pubDate>Fri, 07 Aug 2026 13:43:09 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-063-the-real-problem-with-agentic-ai-is-undesigned-authority.mp3" length="13203961" type="audio/mpeg" />
      <itunes:episode>63</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:12:47</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>Who Holds Judgment? Decision Design in the Age of the One-Person Firm</title>
      <link>https://insynergy.io/insights/who-holds-judgment-decision-design-ai-solopreneur</link>
      <description>AI agents can let a single founder operate at unprecedented scale, but capability does not automatically confer legitimate authority. This episode examines who holds judgment in the one-person firm, where Decision Boundaries must sit, and how Decision Logs preserve accountability when organizational structure collapses into one human supported by many machines.

Read the full Insynergy Insight:
https://insynergy.io/insights/who-holds-judgment-decision-design-ai-solopreneur</description>
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      <pubDate>Fri, 07 Aug 2026 08:57:31 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-062-who-holds-judgment-decision-design-ai-solopreneur.mp3" length="12349081" type="audio/mpeg" />
      <itunes:episode>62</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:11:53</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>Generative AI and the Limits of Rights Doctrine</title>
      <link>https://insynergy.io/insights/generative-ai-rights-infringement-judgment-design</link>
      <description>Japan's Ministry of Justice is examining publicity rights, voice rights, deepfakes, and civil liability in the age of generative AI. This episode argues that rights doctrine can define prohibited outcomes but cannot by itself design who holds decision authority, when human judgment must intervene, or how accountability remains continuous.

Read the full Insynergy Insight:
https://insynergy.io/insights/generative-ai-rights-infringement-judgment-design</description>
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      <pubDate>Fri, 07 Aug 2026 08:25:34 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-061-generative-ai-rights-infringement-judgment-design.mp3" length="12177172" type="audio/mpeg" />
      <itunes:episode>61</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:11:43</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>The Real Risk of AI-Driven Development Is Undesigned Judgment</title>
      <link>https://insynergy.io/insights/ai-driven-development-undesigned-judgment-risk</link>
      <description>AI-generated code can accelerate delivery while overwhelming meaningful human review. This episode examines why legacy code, security, licensing, and data leakage risks share a deeper cause: organizations have not designed decision authority, review conditions, escalation paths, and accountability for AI-driven development.

Read the full Insynergy Insight:
https://insynergy.io/insights/ai-driven-development-undesigned-judgment-risk</description>
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      <pubDate>Fri, 07 Aug 2026 08:09:36 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-060-ai-driven-development-undesigned-judgment-risk.mp3" length="13557493" type="audio/mpeg" />
      <itunes:episode>60</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:13:09</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>Beyond Human-in-the-Loop: Why AI Governance Requires Judgment Architecture</title>
      <link>https://insynergy.io/insights/beyond-human-in-the-loop-ai-governance-judgment-architecture</link>
      <description>Keeping humans in AI workflows is the right instinct, but it does not specify who has authority, what must be reviewed, or how accountability persists. This episode examines why AI governance must move beyond a control mechanism toward Decision Boundaries, Decision Logs, and judgment architecture.

Read the full Insynergy Insight:
https://insynergy.io/insights/beyond-human-in-the-loop-ai-governance-judgment-architecture</description>
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      <pubDate>Thu, 06 Aug 2026 21:54:16 +0900</pubDate>
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      <itunes:episode>59</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:11:00</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>"Human in the Loop" Is Not a Governance Answer</title>
      <link>https://insynergy.io/insights/human-in-the-loop-is-not-a-governance-answer</link>
      <description>Requiring a human somewhere in an AI workflow does not define who has authority, what must be reviewed, or where accountability attaches. This episode examines why human-in-the-loop is only a control mechanism—and why AI governance requires Decision Boundaries, Decision Logs, and judgment architecture.

Read the full Insynergy Insight:
https://insynergy.io/insights/human-in-the-loop-is-not-a-governance-answer</description>
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      <pubDate>Thu, 06 Aug 2026 21:04:26 +0900</pubDate>
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      <itunes:episode>58</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:10:15</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>When AI Moves Closer to Judgment</title>
      <link>https://insynergy.io/insights/when-ai-moves-closer-to-judgment</link>
      <description>Banking AI is moving beyond efficiency and into evaluation, screening, auditing, and risk assessment. This episode examines why the central issue is not model capability but the absence of designed boundaries for human judgment, decision authority, escalation, and institutional accountability.

Read the full Insynergy Insight:
https://insynergy.io/insights/when-ai-moves-closer-to-judgment</description>
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      <pubDate>Tue, 04 Aug 2026 15:49:42 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-057-when-ai-moves-closer-to-judgment.mp3" length="10386973" type="audio/mpeg" />
      <itunes:episode>57</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:09:51</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>What Salesforce Didn't Say: The Interface Has Changed</title>
      <link>https://insynergy.io/insights/what-salesforce-didnt-say-the-interface-has-changed</link>
      <description>Enterprise software is shifting from screens and menus toward conversational AI agents. This episode examines what that interface change leaves unresolved: who holds decision authority when software interprets intent, recommends action, and executes—and why the deeper problem is judgment architecture.

Read the full Insynergy Insight:
https://insynergy.io/insights/what-salesforce-didnt-say-the-interface-has-changed</description>
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      <pubDate>Tue, 04 Aug 2026 15:23:17 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-056-what-salesforce-didnt-say-the-interface-has-changed.mp3" length="12252447" type="audio/mpeg" />
      <itunes:episode>56</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:11:47</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>When AI "Judges" and RPA Executes: Who Draws the Line?</title>
      <link>https://insynergy.io/insights/when-ai-judges-and-rpa-executes-decision-boundary</link>
      <description>Generative AI can interpret ambiguous inputs while RPA executes the resulting actions—but technical handoffs do not define decision authority. This episode examines who draws the line between machine output and accountable judgment, and why end-to-end automation requires an explicit Decision Boundary.

Read the full Insynergy Insight:
https://insynergy.io/insights/when-ai-judges-and-rpa-executes-decision-boundary</description>
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      <pubDate>Tue, 04 Aug 2026 14:22:41 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-055-when-ai-judges-and-rpa-executes-decision-boundary.mp3" length="11212690" type="audio/mpeg" />
      <itunes:episode>55</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:10:42</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>Beyond Risk and Literacy: Why AI Governance Needs Judgment Architecture</title>
      <link>https://insynergy.io/insights/beyond-ai-governance-judgment-architecture</link>
      <description>Risk controls and AI literacy are necessary, but they do not determine who owns consequential judgment. This episode examines the missing layer in AI governance: a judgment architecture that defines decision authority, human review boundaries, escalation, and accountability across the organization.

Read the full Insynergy Insight:
https://insynergy.io/insights/beyond-ai-governance-judgment-architecture</description>
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      <pubDate>Tue, 04 Aug 2026 14:06:15 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-054-beyond-ai-governance-judgment-architecture.mp3" length="11320346" type="audio/mpeg" />
      <itunes:episode>54</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:10:49</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>AI Agent Liability Is the Wrong Debate</title>
      <link>https://insynergy.io/insights/ai-agent-liability-vs-decision-architecture</link>
      <description>Debates about AI agent liability begin after harm has already occurred. This episode examines the deeper structural problem: organizations deploy agents without explicitly designing decision authority, escalation boundaries, and accountability—and explains why Decision Architecture must come first.

Read the full Insynergy Insight:
https://insynergy.io/insights/ai-agent-liability-vs-decision-architecture</description>
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      <pubDate>Tue, 04 Aug 2026 13:51:57 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-053-ai-agent-liability-vs-decision-architecture.mp3" length="12064447" type="audio/mpeg" />
      <itunes:episode>53</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:11:36</itunes:duration>
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    </item>
    <item>
      <title>The Better the Output Looks, the Less We Question It</title>
      <link>https://insynergy.io/insights/ai-discernment-is-a-design-problem</link>
      <description>Polished AI outputs often look finished enough to escape meaningful review. This episode examines why that discernment gap is a structural design problem—not a talent or training failure—and how Decision Design can preserve human judgment, review, and accountability as AI becomes more convincing.

Read the full Insynergy Insight:
https://insynergy.io/insights/ai-discernment-is-a-design-problem</description>
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      <pubDate>Tue, 04 Aug 2026 13:35:30 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-052-ai-discernment-is-a-design-problem.mp3" length="13533203" type="audio/mpeg" />
      <itunes:episode>52</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:13:07</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>When AI Output Becomes Advice: The Governance Gap</title>
      <link>https://insynergy.io/insights/ai-output-as-advice-nippon-life-openai-governance-gap</link>
      <description>The Nippon Life vs. OpenAI lawsuit exposes a structural governance gap: AI output can function as consequential advice while no accountable advisor exists. This episode examines why accuracy alone cannot solve that problem, and how Decision Design can define human judgment boundaries, authority, and traceable responsibility in high-stakes domains.

Read the full Insynergy Insight:
https://insynergy.io/insights/ai-output-as-advice-nippon-life-openai-governance-gap</description>
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      <pubDate>Tue, 04 Aug 2026 13:25:00 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-051-ai-output-as-advice-nippon-life-openai-governance-gap.mp3" length="10050397" type="audio/mpeg" />
      <itunes:episode>51</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:09:30</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>AI Does Not Reduce Work. It Intensifies It—Because Nobody Has Designed the Handoff.</title>
      <link>https://insynergy.io/insights/ai-work-intensification-decision-boundary</link>
      <description>Generative AI accelerates first-pass output but leaves final judgment with people. This episode examines why undefined handoffs multiply review work, erode boundaries, and intensify cognitive load—and how Decision Design can make human authority and accountability explicit.

Read the full Insynergy Insight:
https://insynergy.io/insights/ai-work-intensification-decision-boundary</description>
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      <pubDate>Fri, 31 Jul 2026 16:40:00 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-050-ai-work-intensification-decision-boundary.mp3" length="10755660" type="audio/mpeg" />
      <itunes:episode>50</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:10:14</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>Can Japan's Government Turn AI Into Delivery Power?</title>
      <link>https://insynergy.io/insights/government-ai-decision-boundary-delivery-power</link>
      <description>Japan's national government and Tokyo are scaling AI from experiments into public-service delivery. This episode examines why faster delivery also accelerates judgment, and how explicit Decision Boundaries can preserve human authority, escalation, and accountability in government AI.

Read the full Insynergy Insight:
https://insynergy.io/insights/government-ai-decision-boundary-delivery-power</description>
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      <pubDate>Fri, 31 Jul 2026 15:13:56 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-049-government-ai-decision-boundary-delivery-power.mp3" length="11153069" type="audio/mpeg" />
      <itunes:episode>49</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:10:39</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>Trust in Physical AI Cannot Be Declared. It Must Be Architected.</title>
      <link>https://insynergy.io/insights/architecting-trust-in-physical-ai-decision-boundary-governance</link>
      <description>Physical AI turns failures into operational damage, disruption, and human risk. This episode explains why trust cannot be declared through compliance or performance metrics alone, and how Decision Boundaries architect human authority, accountability, escalation, and assurance across the AI lifecycle.

Read the full Insynergy Insight:
https://insynergy.io/insights/architecting-trust-in-physical-ai-decision-boundary-governance</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-048</guid>
      <pubDate>Fri, 31 Jul 2026 14:50:33 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-048-architecting-trust-in-physical-ai-decision-boundary-governance.mp3" length="11276132" type="audio/mpeg" />
      <itunes:episode>48</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:10:46</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>Human Oversight Is Not Enough — The Real Problem Is the Decision Boundary</title>
      <link>https://insynergy.io/insights/decision-boundary-ai-governance-human-oversight</link>
      <description>Human involvement in AI systems is necessary, but presence alone does not create governance. This episode explains why approval can become theater and how explicit Decision Boundaries structure human judgment, delegated authority, escalation, and organizational accountability.

Read the full Insynergy Insight:
https://insynergy.io/insights/decision-boundary-ai-governance-human-oversight</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-047</guid>
      <pubDate>Fri, 31 Jul 2026 14:33:53 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-047-decision-boundary-ai-governance-human-oversight.mp3" length="10058373" type="audio/mpeg" />
      <itunes:episode>47</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:09:30</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>After Risk Mapping, What Gets Designed? Decision Boundary (Organizational Governance) as the Next Layer for Agentic AI</title>
      <link>https://insynergy.io/insights/decision-boundary-organizational-governance-agentic-ai</link>
      <description>Risk frameworks identify what can go wrong, but they do not determine who holds judgment authority. This episode examines Decision Boundary as the organizational governance layer that must follow agentic AI risk mapping, structuring what humans and autonomous agents may decide and under which conditions.

Read the full Insynergy Insight:
https://insynergy.io/insights/decision-boundary-organizational-governance-agentic-ai</description>
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      <pubDate>Fri, 31 Jul 2026 14:22:19 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-046-decision-boundary-organizational-governance-agentic-ai.mp3" length="11686385" type="audio/mpeg" />
      <itunes:episode>46</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:11:12</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>Who Actually Decides?</title>
      <link>https://insynergy.io/insights/who-actually-decides-ai-decision-boundary</link>
      <description>AI can frame the question, structure the options, and draft the rationale before a human clicks approve. This episode examines how organizations lose the seat of judgment, why approval is not the same as deciding, and how explicit Decision Boundaries preserve authority and accountability.

Read the full Insynergy Insight:
https://insynergy.io/insights/who-actually-decides-ai-decision-boundary</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-045</guid>
      <pubDate>Fri, 31 Jul 2026 14:11:40 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-045-who-actually-decides-ai-decision-boundary.mp3" length="12609834" type="audio/mpeg" />
      <itunes:episode>45</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:12:10</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>Can AI Truly Prevent Financial Crime?</title>
      <link>https://insynergy.io/insights/ai-financial-crime-decision-boundary</link>
      <description>AI can detect suspicious patterns at extraordinary speed, but detection is not prevention and probability is not judgment. This episode examines how financial institutions must design explicit boundaries between automated monitoring, human decisions, escalation, and accountability.

Read the full Insynergy Insight:
https://insynergy.io/insights/ai-financial-crime-decision-boundary</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-044</guid>
      <pubDate>Fri, 31 Jul 2026 13:59:00 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-044-ai-financial-crime-decision-boundary.mp3" length="12566032" type="audio/mpeg" />
      <itunes:episode>44</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:12:07</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>AI Agents Don't Eliminate Decisions. They Expose the Absence of Decision Design.</title>
      <link>https://insynergy.io/insights/ai-agents-decision-design-accountability-architecture</link>
      <description>AI agents do not remove organizational decisions; they reveal where decision authority and accountability were never explicitly designed. This episode examines the structural void exposed by automation and how Decision Design creates clear boundaries, escalation paths, and durable responsibility.

Read the full Insynergy Insight:
https://insynergy.io/insights/ai-agents-decision-design-accountability-architecture</description>
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      <pubDate>Fri, 31 Jul 2026 12:05:05 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-043-ai-agents-decision-design-accountability-architecture.mp3" length="11950750" type="audio/mpeg" />
      <itunes:episode>43</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:11:28</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>If the Work Takes 10 Minutes, Why Do You Still Need a Human?</title>
      <link>https://insynergy.io/insights/if-work-takes-10-minutes-why-human-judgment-remains</link>
      <description>When AI compresses weeks of expert work into minutes, the remaining human role is not inefficiency—it is judgment and accountability. This episode examines how organizations must design the boundary between generation and approval.

Read the full Insynergy Insight:
https://insynergy.io/insights/if-work-takes-10-minutes-why-human-judgment-remains</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-042</guid>
      <pubDate>Fri, 31 Jul 2026 11:25:40 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-042-if-work-takes-10-minutes-why-human-judgment-remains.mp3" length="12084343" type="audio/mpeg" />
      <itunes:episode>42</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:11:37</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>When Agents Act, Who Decided?</title>
      <link>https://insynergy.io/insights/when-agents-act-who-decided</link>
      <description>When AI agents execute enterprise work, task ownership becomes visible while judgment ownership disappears. This episode examines invisible delegation, attribution gaps, and the decision boundaries organizations must design.

Read the full Insynergy Insight:
https://insynergy.io/insights/when-agents-act-who-decided</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-041</guid>
      <pubDate>Fri, 31 Jul 2026 11:11:40 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-041-when-agents-act-who-decided.mp3" length="12979113" type="audio/mpeg" />
      <itunes:episode>41</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:12:33</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>The Real Problem With Military AI Isn't Ethics. It's Boundary Design.</title>
      <link>https://insynergy.io/insights/military-ai-boundary-design-decision-architecture</link>
      <description>Why the dispute over military AI is not simply an ethics conflict, but a structural failure to define who holds judgment authority—and how explicit decision boundaries can preserve oversight, escalation, and accountability.

Read the full Insynergy Insight:
https://insynergy.io/insights/military-ai-boundary-design-decision-architecture</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-040</guid>
      <pubDate>Fri, 31 Jul 2026 11:00:23 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-040-military-ai-boundary-design-decision-architecture.mp3" length="12877329" type="audio/mpeg" />
      <itunes:episode>40</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:12:26</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>Is Back-Office Automation Really About Automation?</title>
      <link>https://insynergy.io/insights/is-back-office-automation-really-about-automation</link>
      <description>Why AI-powered back-office automation is not merely task substitution, but the delegation of organizational judgment—and how explicit decision boundaries preserve authority, escalation, capability, and accountability.

Read the full Insynergy Insight:
https://insynergy.io/insights/is-back-office-automation-really-about-automation</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-039</guid>
      <pubDate>Fri, 31 Jul 2026 10:50:25 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-039-is-back-office-automation-really-about-automation.mp3" length="12670865" type="audio/mpeg" />
      <itunes:episode>39</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:12:13</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>Why AI Agents Fail in Practice — And Why Architecture Alone Won't Fix It</title>
      <link>https://insynergy.io/insights/why-ai-agents-fail-decision-boundary-design</link>
      <description>Why constraints, validation, observability, and escalation are not enough to prevent AI agent failure—and how explicit decision boundaries, judgment allocation, responsibility transfer, and accountability must be designed.

Read the full Insynergy Insight:
https://insynergy.io/insights/why-ai-agents-fail-decision-boundary-design</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-038</guid>
      <pubDate>Thu, 30 Jul 2026 11:16:19 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-038-why-ai-agents-fail-decision-boundary-design.mp3" length="10802813" type="audio/mpeg" />
      <itunes:episode>38</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:10:17</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>When Intelligence Becomes Abundant, Judgment Must Be Designed</title>
      <link>https://insynergy.io/insights/when-intelligence-becomes-abundant-judgment-must-be-designed</link>
      <description>Why abundant AI-generated intelligence shifts the institutional bottleneck from knowledge to judgment—and why education and organizations must explicitly design where AI authority ends, human responsibility begins, and accountability remains.

Read the full Insynergy Insight:
https://insynergy.io/insights/when-intelligence-becomes-abundant-judgment-must-be-designed</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-037</guid>
      <pubDate>Thu, 30 Jul 2026 11:07:17 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-037-when-intelligence-becomes-abundant-judgment-must-be-designed.mp3" length="10593726" type="audio/mpeg" />
      <itunes:episode>37</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:10:04</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>The Undesigned Decision: Why AI Agents Expose a Governance Void, Not a Security Flaw</title>
      <link>https://insynergy.io/insights/undesigned-decision-ai-agent-governance-void</link>
      <description>AI agents are exposing a governance void that security controls alone cannot fix. This episode examines how explicit decision boundaries, authority, escalation, traceability, and accountability must be designed before autonomous systems act across consequential enterprise workflows.

Read the full Insynergy Insight:
https://insynergy.io/insights/undesigned-decision-ai-agent-governance-void</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-036</guid>
      <pubDate>Mon, 27 Jul 2026 19:02:20 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-036-undesigned-decision-ai-agent-governance-void.mp3" length="15041657" type="audio/mpeg" />
      <itunes:episode>36</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:11:45</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>AI Isn't Eliminating Jobs. It's Revealing Who Forgot to Design the Decisions.</title>
      <link>https://insynergy.io/insights/ai-layoffs-decision-architecture</link>
      <description>AI is not the author of workforce decisions. This episode examines why layoffs attributed to AI reveal a deeper failure to design decision authority, accountability, and the human judgment surrounding automation.

Read the full Insynergy Insight:
https://insynergy.io/insights/ai-layoffs-decision-architecture</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-035</guid>
      <pubDate>Mon, 27 Jul 2026 19:00:00 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-035-ai-layoffs-decision-architecture.mp3" length="13628410" type="audio/mpeg" />
      <itunes:episode>35</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:10:35</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>What "50% of Tasks Can Be Automated" Fails to Measure</title>
      <link>https://insynergy.io/insights/what-50-percent-automation-fails-to-measure</link>
      <description>Why task-automation metrics reveal AI capability but miss the organizational structure beneath it—and how Decision Design protects learning, accountability, and human judgment as work is compressed.

Read the full Insynergy Insight:
https://insynergy.io/insights/what-50-percent-automation-fails-to-measure</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-034</guid>
      <pubDate>Mon, 27 Jul 2026 18:59:01 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-034-what-50-percent-automation-fails-to-measure.mp3" length="12791818" type="audio/mpeg" />
      <itunes:episode>34</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:09:53</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>AI Literacy Is Now a Job Requirement in VC. But the Real Question Is Being Missed.</title>
      <link>https://insynergy.io/insights/ai-literacy-vc-decision-boundary</link>
      <description>Why AI literacy in venture capital is not just about selecting tools or writing prompts, but about designing how AI output enters human judgment—and making the Decision Boundary explicit, accountable, and auditable.

Read the full Insynergy Insight:
https://insynergy.io/insights/ai-literacy-vc-decision-boundary</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-033</guid>
      <pubDate>Mon, 27 Jul 2026 12:00:00 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-033-ai-literacy-vc-decision-boundary.mp3" length="13105664" type="audio/mpeg" />
      <itunes:episode>33</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:10:08</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>Headcount Is Not the Problem: Decision Architecture in the Age of AI Workforce Reduction</title>
      <link>https://insynergy.io/insights/decision-architecture-ai-workforce-reduction</link>
      <description>Why AI-driven workforce reduction is not primarily a headcount problem, but a decision-architecture problem—and how Decision Design preserves judgment, accountability, and escalation capacity when roles disappear.

Read the full Insynergy Insight:
https://insynergy.io/insights/decision-architecture-ai-workforce-reduction</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-032</guid>
      <pubDate>Fri, 24 Jul 2026 17:31:03 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-032-decision-architecture-ai-workforce-reduction.mp3" length="15396120" type="audio/mpeg" />
      <itunes:episode>32</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:12:03</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>The Handshake That Didn't Happen: What the India AI Summit Revealed About Competitive Architecture</title>
      <link>https://insynergy.io/insights/when-ai-ceos-dont-shake-hands-competitive-architecture</link>
      <description>What a missed handshake between AI CEOs at the India AI Summit reveals about the absence of shared competitive architecture—and why Decision Design must define boundaries across firms before crisis does it for us.

Read the full Insynergy Insight:
https://insynergy.io/insights/when-ai-ceos-dont-shake-hands-competitive-architecture</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-031</guid>
      <pubDate>Fri, 24 Jul 2026 17:10:59 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-031-when-ai-ceos-dont-shake-hands-competitive-architecture.mp3" length="15674818" type="audio/mpeg" />
      <itunes:episode>31</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:12:17</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>The Courage Layer</title>
      <link>https://insynergy.io/insights/the-courage-layer</link>
      <description>Why the final layer of decision-making in an AI-native enterprise is not intelligence, governance, or ownership, but courage—and how Decision Design makes principled dissent, designed friction, and explicit risk acceptance institutionally possible.

Read the full Insynergy Insight:
https://insynergy.io/insights/the-courage-layer</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-030</guid>
      <pubDate>Wed, 22 Jul 2026 13:41:33 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-030-the-courage-layer.mp3" length="15803975" type="audio/mpeg" />
      <itunes:episode>30</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:12:23</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>The Ownership Problem</title>
      <link>https://insynergy.io/insights/the-ownership-problem</link>
      <description>Why AI-assisted decisions can satisfy every governance checkpoint yet leave no one truly accountable—and how Decision Design restores ownership through explicit declarations, consequence assignment, and commitment under uncertainty.

Read the full Insynergy Insight:
https://insynergy.io/insights/the-ownership-problem</description>
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      <pubDate>Wed, 22 Jul 2026 13:27:33 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-029-the-ownership-problem.mp3" length="13806115" type="audio/mpeg" />
      <itunes:episode>29</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:10:43</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>The Performance Layer</title>
      <link>https://insynergy.io/insights/the-performance-layer</link>
      <description>Why AI-enabled fluency can separate decision performance from decision ownership—and how Decision Design can restore genuine authority through forced interrogation, accountability declarations, and consequence tracing.

Read the full Insynergy Insight:
https://insynergy.io/insights/the-performance-layer</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-028</guid>
      <pubDate>Wed, 22 Jul 2026 13:13:47 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-028-the-performance-layer.mp3" length="16231070" type="audio/mpeg" />
      <itunes:episode>28</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:12:45</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>The Formation Gap: Why Decision Design Must Become Architecture for Judgment, Not Just Governance</title>
      <link>https://insynergy.io/insights/the-formation-gap</link>
      <description>Why automating entry-level analytical work creates a long-term judgment formation gap—and why Decision Design must architect exposure, consequence, authority, and accountability rather than stop at AI governance.

Read the full Insynergy Insight:
https://insynergy.io/insights/the-formation-gap</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-027</guid>
      <pubDate>Tue, 21 Jul 2026 12:59:35 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-027-the-formation-gap.mp3" length="11554218" type="audio/mpeg" />
      <itunes:episode>27</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:08:51</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>When Intelligence Becomes Abundant, Judgment Becomes Scarce</title>
      <link>https://insynergy.io/insights/when-intelligence-becomes-abundant-judgment-becomes-scarce</link>
      <description>Why abundant AI intelligence shifts the organizational bottleneck to human judgment—and why explicit Decision Boundaries are needed to connect optimization, authority, and accountability.

Read the full Insynergy Insight:
https://insynergy.io/insights/when-intelligence-becomes-abundant-judgment-becomes-scarce</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-026</guid>
      <pubDate>Tue, 21 Jul 2026 12:59:35 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-026-when-intelligence-becomes-abundant-judgment-becomes-scarce.mp3" length="14465800" type="audio/mpeg" />
      <itunes:episode>26</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:11:16</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>The Architecture of Judgment: What a Japanese Deployment Reveals About the Missing Layer in Enterprise AI Agents</title>
      <link>https://insynergy.io/insights/architecture-of-judgment-ai-agent-decision-design</link>
      <description>What JTB's enterprise AI-agent deployment reveals about decomposing judgment, allocating authority across AI, rules, and humans, and designing the irreversible action gate.

Read the full Insynergy Insight:
https://insynergy.io/insights/architecture-of-judgment-ai-agent-decision-design</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-025</guid>
      <pubDate>Tue, 21 Jul 2026 12:58:50 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-025-architecture-of-judgment-ai-agent-decision-design.mp3" length="15042452" type="audio/mpeg" />
      <itunes:episode>25</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:11:45</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>The Government Wrote "Judgment" Into Policy. Its Content Is Blank.</title>
      <link>https://insynergy.io/insights/judgment-into-policy-content-blank</link>
      <description>Why requiring human judgment in AI policy is not enough—and how Decision Boundaries and Decision Logs turn symbolic approval into auditable authority.

Read the full Insynergy Insight:
https://insynergy.io/insights/judgment-into-policy-content-blank</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-024</guid>
      <pubDate>Tue, 21 Jul 2026 12:57:00 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-024-judgment-into-policy-content-blank.mp3" length="14588743" type="audio/mpeg" />
      <itunes:episode>24</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:11:23</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>When the Web Stops Reading Us Back</title>
      <link>https://insynergy.io/insights/when-the-web-stops-reading-us-back</link>
      <description>What the rise of an agent-native web reveals about machine-readable authority, decision compression, and the need for explicit Decision Boundaries.

Read the full Insynergy Insight:
https://insynergy.io/insights/when-the-web-stops-reading-us-back</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-023</guid>
      <pubDate>Tue, 21 Jul 2026 12:56:59 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-023-when-the-web-stops-reading-us-back.mp3" length="15145550" type="audio/mpeg" />
      <itunes:episode>23</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:11:50</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>The Structural Limit of Human-in-the-Loop</title>
      <link>https://insynergy.io/insights/the-structural-limit-of-human-in-the-loop</link>
      <description>Why human review becomes symbolic as AI scales—and how Design-in-the-Loop shifts governance toward explicit decision boundaries, authority, and accountability.

Read the full Insynergy Insight:
https://insynergy.io/insights/the-structural-limit-of-human-in-the-loop</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-022</guid>
      <pubDate>Sun, 19 Jul 2026 10:29:00 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-022-the-structural-limit-of-human-in-the-loop.mp3" length="13793517" type="audio/mpeg" />
      <itunes:episode>22</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:10:43</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>The Architecture of Remaining Judgment</title>
      <link>https://insynergy.io/insights/architecture-of-remaining-judgment</link>
      <description>How AI compresses analysis while quietly dissolving Decision Boundaries—and why Judgment Retention and a Decision Ledger preserve organizational resilience.

Read the full Insynergy Insight:
https://insynergy.io/insights/architecture-of-remaining-judgment</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-019</guid>
      <pubDate>Sun, 19 Jul 2026 10:28:35 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-019-architecture-of-remaining-judgment.mp3" length="14621852" type="audio/mpeg" />
      <itunes:episode>19</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:11:24</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>Fair Use Was Designed for Humans. AI Doesn’t Forget.</title>
      <link>https://insynergy.io/insights/fair-use-machine-scale-memory</link>
      <description>Why the Anthropic settlement is the first structural stress test of institutional boundaries in the age of machine-scale memory.

Read the full Insynergy Insight:
https://insynergy.io/insights/fair-use-machine-scale-memory</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-021</guid>
      <pubDate>Sun, 19 Jul 2026 10:27:36 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-021-fair-use-machine-scale-memory.mp3" length="13171736" type="audio/mpeg" />
      <itunes:episode>21</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:10:12</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>The Word That Suspends Judgment</title>
      <link>https://insynergy.io/insights/the-word-that-suspends-judgment</link>
      <description>How the undefined promise of AGI suspends present judgment—and why leaders must design explicit decision boundaries, accountability, and oversight now.

Read the full Insynergy Insight:
https://insynergy.io/insights/the-word-that-suspends-judgment</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-018</guid>
      <pubDate>Sun, 19 Jul 2026 10:26:41 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-018-the-word-that-suspends-judgment.mp3" length="12900749" type="audio/mpeg" />
      <itunes:episode>18</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:09:58</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>When Software Stops Being the Place Where Work Happens</title>
      <link>https://insynergy.io/insights/when-software-stops-being-the-place-where-work-happens</link>
      <description>How AI agents move execution beyond application interfaces, exposing the missing architecture for judgment, responsibility, and decision boundaries.

Read the full Insynergy Insight:
https://insynergy.io/insights/when-software-stops-being-the-place-where-work-happens</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-017</guid>
      <pubDate>Sat, 18 Jul 2026 14:54:55 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-017-when-software-stops-being-the-place-where-work-happens.mp3" length="13786794" type="audio/mpeg" />
      <itunes:episode>17</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:10:42</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>Chutzpah Is Not a Trait. It Is a Structure.</title>
      <link>https://insynergy.io/insights/chutzpah-is-not-a-trait-it-is-a-structure</link>
      <description>Why the demand for bold decision-makers reveals an architectural failure, not a talent shortage—and how Decision Boundaries make judgment possible.

Read the full Insynergy Insight:
https://insynergy.io/insights/chutzpah-is-not-a-trait-it-is-a-structure</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-016</guid>
      <pubDate>Sat, 18 Jul 2026 14:44:43 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-016-chutzpah-is-not-a-trait-it-is-a-structure.mp3" length="16503404" type="audio/mpeg" />
      <itunes:episode>16</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:12:58</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>The Big 4's AI Talent Problem Isn't About AI—It's About a Design That Was Never There</title>
      <link>https://insynergy.io/insights/big4-ai-talent-problem-decision-design</link>
      <description>How agentic AI exposed the absence of deliberate judgment architecture in professional services—and why every organization should pay attention.

Read the full Insynergy Insight:
https://insynergy.io/insights/big4-ai-talent-problem-decision-design</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-015</guid>
      <pubDate>Sat, 18 Jul 2026 14:32:15 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-015-big4-ai-talent-problem-decision-design.mp3" length="14511412" type="audio/mpeg" />
      <itunes:episode>15</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:11:19</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>The Layoffs Are Real. The Explanation Is Wrong.</title>
      <link>https://insynergy.io/insights/decision-ownership-collapse</link>
      <description>Why the AI-replacement narrative misreads recent layoffs, and how the deeper failure is the collapse of clear decision ownership inside organizations.

Read the full Insynergy Insight:
https://insynergy.io/insights/decision-ownership-collapse</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-014</guid>
      <pubDate>Sat, 18 Jul 2026 14:20:25 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-014-decision-ownership-collapse.mp3" length="14952909" type="audio/mpeg" />
      <itunes:episode>14</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:11:41</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>AI Did Not Remove Judgment. We Removed the Conditions That Formed It.</title>
      <link>https://insynergy.io/insights/ai-did-not-remove-judgment-we-removed-the-conditions</link>
      <description>Why the erosion of judgment is not caused by AI alone, but by organizations removing the practice, boundaries, and conditions through which judgment develops.

Read the full Insynergy Insight:
https://insynergy.io/insights/ai-did-not-remove-judgment-we-removed-the-conditions</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-013</guid>
      <pubDate>Sat, 18 Jul 2026 14:08:37 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-013-ai-did-not-remove-judgment-we-removed-the-conditions.mp3" length="12115735" type="audio/mpeg" />
      <itunes:episode>13</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:09:19</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>AI Does Not Replace Thinking. It Reveals Whether You Designed It.</title>
      <link>https://insynergy.io/insights/ai-does-not-replace-thinking</link>
      <description>Why AI does not eliminate human thinking but exposes whether organizations have deliberately designed judgment, responsibility, and Decision Boundaries.

Read the full Insynergy Insight:
https://insynergy.io/insights/ai-does-not-replace-thinking</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-012</guid>
      <pubDate>Sat, 18 Jul 2026 13:32:09 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-012-ai-does-not-replace-thinking.mp3" length="10263464" type="audio/mpeg" />
      <itunes:episode>12</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:07:46</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>The Quiet Disappearance of Judgment: Voice, AI, and the Architecture of Human Deciding</title>
      <link>https://insynergy.io/insights/quiet-disappearance-of-judgment-voice-ai-decision-design</link>
      <description>How voice-first AI erases the friction where judgment forms, and why Decision Boundaries must be deliberately designed as interfaces become seamless.

Read the full Insynergy Insight:
https://insynergy.io/insights/quiet-disappearance-of-judgment-voice-ai-decision-design</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-011</guid>
      <pubDate>Sat, 18 Jul 2026 12:57:23 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-011-quiet-disappearance-of-judgment-voice-ai-decision-design.mp3" length="15429141" type="audio/mpeg" />
      <itunes:episode>11</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:12:04</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>The Last Signature</title>
      <link>https://insynergy.io/insights/the-last-signature-ai-judgment-bottleneck</link>
      <description>Why AI accelerates production while making human review and approval the new bottleneck, and how organizations must redesign judgment and accountability.

Read the full Insynergy Insight:
https://insynergy.io/insights/the-last-signature-ai-judgment-bottleneck</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-010</guid>
      <pubDate>Sat, 18 Jul 2026 12:45:41 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-010-the-last-signature-ai-judgment-bottleneck.mp3" length="13866011" type="audio/mpeg" />
      <itunes:episode>10</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:10:46</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>Why "High Agency" Is Becoming the Defining Human Capability in the Age of AI</title>
      <link>https://insynergy.io/insights/high-agency-and-the-design-of-judgment</link>
      <description>Why High Agency in the AI era is less a personality trait than a capacity for judgment, responsibility, and action that organizations must design for.

Read the full Insynergy Insight:
https://insynergy.io/insights/high-agency-and-the-design-of-judgment</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-009</guid>
      <pubDate>Sat, 18 Jul 2026 12:26:55 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-009-high-agency-and-the-design-of-judgment.mp3" length="10752609" type="audio/mpeg" />
      <itunes:episode>9</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:08:11</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>When Agents Act Alone</title>
      <link>https://insynergy.io/insights/when-agents-act-alone</link>
      <description>What Moltbook and OpenClaw reveal about autonomous execution without defined decision authority, and why Decision Boundaries must precede agentic scale.

Read the full Insynergy Insight:
https://insynergy.io/insights/when-agents-act-alone</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-008</guid>
      <pubDate>Fri, 17 Jul 2026 16:36:56 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-008-when-agents-act-alone.mp3" length="9497970" type="audio/mpeg" />
      <itunes:episode>8</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:07:08</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>Human in the Lead: The End of a Comfortable Illusion</title>
      <link>https://insynergy.io/insights/human-in-the-lead-end-of-a-comfortable-illusion</link>
      <description>Why “human in the loop” no longer guarantees meaningful human authority, and how Decision Design keeps people accountable and genuinely in the lead as AI scales decisions.

Read the full Insynergy Insight:
https://insynergy.io/insights/human-in-the-lead-end-of-a-comfortable-illusion</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-007</guid>
      <pubDate>Fri, 17 Jul 2026 16:23:00 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-007-human-in-the-lead-end-of-a-comfortable-illusion.mp3" length="14596443" type="audio/mpeg" />
      <itunes:episode>7</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:11:23</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>The Subject Who Signs</title>
      <link>https://insynergy.io/insights/the-subject-who-signs</link>
      <description>Why AI can generate consequential corporate decisions but cannot own them, and how explicit Decision Boundaries preserve human accountability.

Read the full Insynergy Insight:
https://insynergy.io/insights/the-subject-who-signs</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-006</guid>
      <pubDate>Fri, 17 Jul 2026 15:49:14 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-006-the-subject-who-signs.mp3" length="16389955" type="audio/mpeg" />
      <itunes:episode>6</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:12:52</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>Why Finance Won’t Let AI Decide: The Structural Logic of Responsibility Retention</title>
      <link>https://insynergy.io/insights/why-finance-wont-let-ai-decide</link>
      <description>Why sophisticated financial institutions retain human decision authority, and how clear Decision Boundaries preserve accountability as AI accelerates analysis.

Read the full Insynergy Insight:
https://insynergy.io/insights/why-finance-wont-let-ai-decide</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-005</guid>
      <pubDate>Sun, 12 Jul 2026 18:45:09 +0900</pubDate>
      <enclosure url="https://insynergy-jp.github.io/Insynergy-Podcast/audio/dd-005-why-finance-wont-let-ai-decide-the-structural-logic-of-responsibility-retention.mp3" length="16095575" type="audio/mpeg" />
      <itunes:episode>5</itunes:episode>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:duration>00:12:38</itunes:duration>
      <itunes:explicit>false</itunes:explicit>
    </item>
    <item>
      <title>Who Owns Judgment in the Age of AI?</title>
      <link>https://insynergy.io/insights/who-owns-judgment-in-the-age-of-ai</link>
      <description>Why AI governance depends on explicitly locating human judgment, drawing Decision Boundaries, and ensuring accountability remains with a real subject.

Read the full Insynergy Insight:
https://insynergy.io/insights/who-owns-judgment-in-the-age-of-ai</description>
      <guid isPermaLink="false">urn:insynergy:podcast:DD-004</guid>
      <pubDate>Sun, 12 Jul 2026 18:26:25 +0900</pubDate>
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https://insynergy.io/insights/decision-design-loss-of-judgment</description>
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Read the full Insynergy Insight:
https://insynergy.io/insights/the-death-of-saas-is-a-category-error</description>
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Read the full Insynergy Insight:
https://insynergy.io/insights/the-question-they-didnt-ask-at-davos</description>
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