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    <title>Perspectis Insights</title>
    <link>https://perspectis.ai/en-GB/insights</link>
    <description>Articles and perspectives from Perspectis.</description>
    <language>en-gb</language>
    <item>
      <title>Why We Treat Agentic Intent as a Governance Contract, Not a Mood</title>
      <link>https://perspectis.ai/en-GB/insights/agentic-intent-decision-rights-laymans</link>
      <guid>https://perspectis.ai/en-GB/insights/agentic-intent-decision-rights-laymans</guid>
      <pubDate>Wed, 15 Apr 2026 00:00:00 GMT</pubDate>
      <description>A plain-language Perspectis AI perspective: where agentic intent belongs in enterprise AI (policy, identity, tools, observability)—not only in prompts—and how we think about risk tiers and prompt injection.</description>
    </item>
    <item>
      <title>Why We Engineer AI Accuracy Without “Dynamic Exemplar” Libraries</title>
      <link>https://perspectis.ai/en-GB/insights/enterprise-ai-accuracy-without-exemplar-libraries</link>
      <guid>https://perspectis.ai/en-GB/insights/enterprise-ai-accuracy-without-exemplar-libraries</guid>
      <pubDate>Wed, 15 Apr 2026 00:00:00 GMT</pubDate>
      <description>A Perspectis AI perspective for leaders: accuracy as platform discipline—tenant-aware grounding, structured capabilities, and honest limits of similarity-Q&amp;A retrieval—not hype about prompts alone.</description>
    </item>
    <item>
      <title>Why We Treat Human-in-the-Loop as Platform Design, Not a Slogan</title>
      <link>https://perspectis.ai/en-GB/insights/human-in-the-loop-accountability-enterprise-ai</link>
      <guid>https://perspectis.ai/en-GB/insights/human-in-the-loop-accountability-enterprise-ai</guid>
      <pubDate>Wed, 15 Apr 2026 00:00:00 GMT</pubDate>
      <description>A Perspectis AI plain-language perspective: human-in-the-loop as workflow-native approvals, compliance signals, assistant-action guardrails, and non-negotiable platform controls—not chat confirmations alone.</description>
    </item>
    <item>
      <title>Why We Treat Enterprise AI Policy as Platform Infrastructure—Not Prompt Decoration</title>
      <link>https://perspectis.ai/en-GB/insights/central-policy-governance-for-enterprise-ai</link>
      <guid>https://perspectis.ai/en-GB/insights/central-policy-governance-for-enterprise-ai</guid>
      <pubDate>Wed, 15 Apr 2026 00:00:00 GMT</pubDate>
      <description>A Perspectis AI perspective for leaders: central governance policy, professional scoping (client, matter, business unit), honest versioning, auditability, and Model Context Protocol integration—without policy living in prompts alone.</description>
    </item>
    <item>
      <title>How We Think About Layered Information Security at Perspectis AI</title>
      <link>https://perspectis.ai/en-GB/insights/layered-information-security-laymans</link>
      <guid>https://perspectis.ai/en-GB/insights/layered-information-security-laymans</guid>
      <pubDate>Wed, 15 Apr 2026 00:00:00 GMT</pubDate>
      <description>A plain-language Perspectis AI perspective on defence in depth: granular access, ethical walls, minimisation, monitoring, AI inside the same guardrails—and honest framing on certification versus product design.</description>
    </item>
    <item>
      <title>Why Data, Information, and AI Governance Are One Problem in Three Layers</title>
      <link>https://perspectis.ai/en-GB/insights/three-governance-disciplines-laymans</link>
      <guid>https://perspectis.ai/en-GB/insights/three-governance-disciplines-laymans</guid>
      <pubDate>Wed, 15 Apr 2026 00:00:00 GMT</pubDate>
      <description>A plain-language Perspectis AI perspective: data, information, and AI governance as layered accountability, operational evidence, and the gaps we still treat as forward work.</description>
    </item>
    <item>
      <title>What Serious AI Accountability Actually Requires—and What Marketing Often Skips</title>
      <link>https://perspectis.ai/en-GB/insights/ai-accountability-and-audit-trails-laymans</link>
      <guid>https://perspectis.ai/en-GB/insights/ai-accountability-and-audit-trails-laymans</guid>
      <pubDate>Wed, 15 Apr 2026 00:00:00 GMT</pubDate>
      <description>A plain-language Perspectis AI perspective for leaders and risk owners: auditability as layered evidence across decisions, tools, security signals, and sensitive-data access—with honest limits on retention, immutability, and tamper-evidence claims.</description>
    </item>
    <item>
      <title>Three Questions That Separate AI Hype from AI Accountability</title>
      <link>https://perspectis.ai/en-GB/insights/three-questions-ai-accountability-explainability</link>
      <guid>https://perspectis.ai/en-GB/insights/three-questions-ai-accountability-explainability</guid>
      <pubDate>Wed, 15 Apr 2026 00:00:00 GMT</pubDate>
      <description>A plain-language Perspectis AI perspective for leaders: reconstruction, explainability without crossing confidentiality walls, and what replay means in practice—including what we do not promise.</description>
    </item>
    <item>
      <title>Why We Built Perspectis AI Differently—and Why It Stays That Way</title>
      <link>https://perspectis.ai/en-GB/insights/syncsphere-vs-mainstream-ai-laymans</link>
      <guid>https://perspectis.ai/en-GB/insights/syncsphere-vs-mainstream-ai-laymans</guid>
      <pubDate>Wed, 01 Apr 2026 00:00:00 GMT</pubDate>
      <description>A plain-language comparison of Perspectis AI with mainstream AI providers: enterprise governance, tenancy, human-in-the-loop, and professional workflows—not just chat.</description>
    </item>
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