1<!DOCTYPE html><html lang="en-US"><head><meta charSet="utf-8" data-next-head=""/><meta name="viewport" content="width=device-width" data-next-head=""/><link rel="shortcut icon" type="image/svg" href="/favicon.svg" data-next-head=""/><link rel="shortcut icon" href="/favicon.svg" data-next-head=""/><link rel="preload" href="/images/orium-logo-white.svg" as="image" data-next-head=""/><link rel="preload" href="/images/menu-dark.svg" as="image" data-next-head=""/><title data-next-head="">The CIOâs Guide to Governing AI Agents Safely at Scale | Orium</title><meta name="description" content="A practical guide for CIOs on governing AI agents safely, balancing autonomy, accountability, observability, and enterprise risk at scale." data-next-head=""/><meta property="og:type" content="website" data-next-head=""/><meta property="og:title" content="The CIOâs Guide to Governing AI Agents Safely at Scale" data-next-head=""/><meta property="og:description" content="A practical guide for CIOs on governing AI agents safely, balancing autonomy, accountability, observability, and enterprise risk at scale." data-next-head=""/><meta property="og:image" content="https://images.ctfassets.net/sh4yu0l0t3kv/6Sjcg9BCS7acUMVIbtDJMx/82e0462a74214ad507e0cb386efa092a/The_CIOs_Guide-hero-20.jpg" data-next-head=""/><meta property="og:image:alt" content="A close up of a chatbot conversation window on a laptop screen." data-next-head=""/><meta property="og:url" content="https://orium.com/blog/cio-guide-governing-ai-agents" data-next-head=""/><meta property="og:site_name" content="Orium" data-next-head=""/><meta property="twitter:card" content="summary_large_image" data-next-head=""/><meta property="twitter:title" content="The CIOâs Guide to Governing AI Agents Safely at Scale" data-next-head=""/><meta property="twitter:image" content="https://images.ctfassets.net/sh4yu0l0t3kv/6Sjcg9BCS7acUMVIbtDJMx/82e0462a74214ad507e0cb386efa092a/The_CIOs_Guide-hero-20.jpg" data-next-head=""/><meta property="twitter:image:alt" content="A close up of a chatbot conversation window on a laptop screen." data-next-head=""/><meta property="twitter:description" content="A practical guide for CIOs on governing AI agents safely, balancing autonomy, accountability, observability, and enterprise risk at scale." data-next-head=""/><link rel="canonical" href="https://orium.com/blog/cio-guide-governing-ai-agents" data-next-head=""/><link rel="alternate" hrefLang="en" href="https://orium.com/blog/cio-guide-governing-ai-agents" data-next-head=""/><link rel="alternate" hrefLang="es" href="https://orium.com/es/blog/cio-guide-governing-ai-agents" data-next-head=""/><link rel="alternate" hrefLang="x-default" href="https://orium.com/blog/cio-guide-governing-ai-agents" data-next-head=""/><link rel="preload" href="/_next/static/media/5e5dfa9e86f764b8-s.p.22x-ws2e_cdqh.woff2" as="font" type="font/woff2" crossorigin="anonymous" data-next-font="size-adjust"/><link rel="preload" href="/_next/static/media/8c2eb9ceedecfc8e-s.p.23aeddxv5enbo.woff2" as="font" type="font/woff2" crossorigin="anonymous" data-next-font="size-adjust"/><link rel="preload" href="/_next/static/media/36CA84_2_0-s.p.0s51_9wi9hntt.woff2" as="font" type="font/woff2" crossorigin="anonymous" data-next-font="size-adjust"/><link rel="preload" href="/_next/static/media/36CA84_3_0-s.p.291vdsmgqa1kg.woff2" as="font" type="font/woff2" crossorigin="anonymous" data-next-font="size-adjust"/><link rel="preload" href="/_next/static/media/36CA84_1_0-s.p.2jjvbk8egsieo.woff2" as="font" type="font/woff2" crossorigin="anonymous" data-next-font="size-adjust"/><link rel="preload" href="/_next/static/media/36CA84_0_0-s.p.3ekaz6jfq0v_6.woff2" as="font" type="font/woff2" crossorigin="anonymous" data-next-font="size-adjust"/><link rel="preload" href="/_next/static/media/sofia_pro_medium-s.p.2e3shsh6nm2w9.woff" as="font" type="font/woff" crossorigin="anonymous" data-next-font="size-adjust"/><link rel="preload" href="/_next/static/chunks/0b_mfazngm463.css" as="style"/><link rel="stylesheet" href="/_next/static/chunks/0b_mfazngm463.css" data-n-g=""/>
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1<div class="Hero-module-scss-module__rtoUUG__heroTop"><section class="SectionWrapper-module-scss-module__16sarW__sectionWrap" style="background:transparent"><div class="content-wrapper"><h6 class="Hero-module-scss-module__rtoUUG__date">2025-12-18</h6><h1 class="Hero-module-scss-module__rtoUUG__headline">The CIOâs Guide to Governing AI Agents Safely at Scale 2</h1></div></section></div><section class="Hero-module-scss-module__rtoUUG__heroImageSection SectionWrapper-module-scss-module__16sarW__sectionWrap" style="background:transparent"><div class="content-wrapper"><div class="Hero-module-scss-module__rtoUUG__heroImageWrapper"><img src="https://images.ctfassets.net/sh4yu0l0t3kv/6Sjcg9BCS7acUMVIbtDJMx/82e0462a74214ad507e0cb386efa092a/The_CIOs_Guide-hero-20.jpg" alt="A close up of a chatbot conversation window on a laptop screen." class="Hero-module-scss-module__rtoUUG__heroImage" width="2881" height="1561"/></div></div></section></section><section class="AuthorDetails-module-scss-module__9ojjUq__root SectionWrapper-module-scss-module__16sarW__sectionWrap" style="background:transparent"><div class="content-wrapper"><div class="AuthorDetails-module-scss-module__9ojjUq__content"><div class="AuthorDetails-module-scss-module__9ojjUq__authorInfo"><div class="AuthorDetails-module-scss-module__9ojjUq__author">By<!-- --> <!-- -->Tim Fernihough, Senior Director - Standards, Compliance & IT Services, Orium</div><div class="AuthorDetails-module-scss-module__9ojjUq__readTime">4 min read</div></div><div class="AuthorDetails-module-scss-module__9ojjUq__shareButtonWrapper"><button class="AuthorDetails-module-scss-module__9ojjUq__shareButton" aria-label="Share"><img alt="Share Icon" loading="lazy" width="43" height="30" decoding="async" data-nimg="1" class="AuthorDetails-module-scss-module__9ojjUq__shareButtonImage" style="color:transparent" src="/images/icons/Share-button.svg"/></button></div></div></div></section><section class="[slug]-module-scss-module__CODXbq__introWrapper SectionWrapper-module-scss-module__16sarW__sectionWrap" style="background:transparent"><div class="content-wrapper"><div class="[slug]-module-scss-module__CODXbq__introSection"><p>AI agents arenât a future trend. Theyâre here, theyâre acting inside enterprise systems, and they arenât waiting for your governance workgroup to catch up.</p> 3<p>These systems donât just generate language. They take action, orchestrate workflows, and navigate across the stack with a level of autonomy that feels both promising and unsettling. As more organizations move from isolated experiments to production-grade deployments, CIOs face familiar pressure: how to push the business forward without compromising trust, security, or scale.</p></div></div></section><section class="TitleDescription-module-scss-module__o7imZq__wrapper SectionWrapper-module-scss-module__16sarW__sectionWrap" style="background:transparent"><div class="content-wrapper"><div class="TitleDescription-module-scss-module__o7imZq__content"><div class="TitleDescription-module-scss-module__o7imZq__description"><p class="TitleDescription-module-scss-module__o7imZq__paragraph">Weâve lived through versions of this before. The early internet sprinted ahead of governance. So did the first era of mobile, the cloud, and API-driven commerce. Each time, leaders eventually built frameworks that let innovation grow without running off the rails. The opportunity now is to skip the cleanup phase and start with the right foundation.</p></div></div></div></section><section class="TitleDescription-module-scss-module__o7imZq__wrapper SectionWrapper-module-scss-module__16sarW__sectionWrap" style="background:transparent"><div class="content-wrapper"><div class="TitleDescription-module-scss-module__o7imZq__content"><h2 class="TitleDescription-module-scss-module__o7imZq__title">Agentic Systems: The Next Layer of Enterprise Autonomy</h2><div class="TitleDescription-module-scss-module__o7imZq__description"><p class="TitleDescription-module-scss-module__o7imZq__paragraph">Traditional automation does what you hard-code. Agentic systems reason, plan, and decide what to do next. Give an agent a goalâoptimize inventory, personalize product discovery, accelerate content workflowsâand it can interpret context, choose tools, sequence actions, and adapt.</p> 4<p class="TitleDescription-module-scss-module__o7imZq__paragraph">
4That autonomy unlocks efficiency, speed, and scale. It also raises the stakes. 5A wrong answer from a chatbot is an irritation; a wrong answer from an autonomous agent that updates a customer record or executes a workflow can create real operational risk.</p> 6<p class="TitleDescription-module-scss-module__o7imZq__paragraph">This is why we think of agentic systems as a collaboration model between humans and agents rather than a path to unchecked automation. In every engagement, we build agents that act with autonomy but stay accountable to enterprise boundaries.</p></div></div></div></section><section class="TitleDescription-module-scss-module__o7imZq__wrapper SectionWrapper-module-scss-module__16sarW__sectionWrap" style="background:transparent"><div class="content-wrapper"><div class="TitleDescription-module-scss-module__o7imZq__content"><h2 class="TitleDescription-module-scss-module__o7imZq__title">Protocols Are Coming Fast. Governance Still Has to Catch Up.</h2><div class="TitleDescription-module-scss-module__o7imZq__description"><p class="TitleDescription-module-scss-module__o7imZq__paragraph">The ecosystem is racing toward interoperability. <a href="https://orium.com/blog/agntcy-composable-ai-agents">MCP, A2A, and other emerging standards</a> promise cleaner connections between agents and tools. Theyâre helpful, but not a safety net.</p> 7<p class="TitleDescription-module-scss-module__o7imZq__paragraph">MCP makes tool access more predictable, though input validation becomes a new attack surface. Googleâs A2A lets agents discover and communicate with one another, but opens new questions about identity, trust, and message integrity. In sum: protocols reduce friction, but they donât eliminate risk.</p> 8<p class="TitleDescription-module-scss-module__o7imZq__paragraph">CIOs still need to evaluate agent behavior the same way they evaluate any enterprise integration: through the lenses of security, architecture, observability, and compliance.</p></div></div></div></section><section class="TitleDescription-module-scss-module__o7imZq__wrapper SectionWrapper-module-scss-module__16sarW__sectionWrap" style="background:transparent"><div class="content-wrapper"><div class="TitleDescription-module-scss-module__o7imZq__content"><h2 class="TitleDescription-module-scss-module__o7imZq__title">Frameworks Multiply Capabilityâand Risk</h2><div class="TitleDescription-module-scss-module__o7imZq__description"><p class="TitleDescription-module-scss-module__o7imZq__paragraph">Agent frameworks are evolving quickly, each shaping the way agents behave:</p> 9<ul class="TitleDescription-module-scss-module__o7imZq__unorderedList"> 10<li class="TitleDescription-module-scss-module__o7imZq__listItem"><a href="https://www.langchain.com/langgraph">LangGraph</a> offers graph-based clarity and traceability.</li> 11<li class="TitleDescription-module-scss-module__o7imZq__listItem"><a href="https://www.crewai.com/">CrewAI</a> mimics role-based team collaboration.</li> 12<li class="TitleDescription-module-scss-module__o7imZq__listItem"><a href="https://github.com/huggingface/smolagents">SmolAgents</a> encourages rapid prototyping.</li> 13<li class="TitleDescription-module-scss-module__o7imZq__listItem"><a href="https://mastra.ai/">Mastra</a> leans into typed, modular workflows that appeal to engineering teams.</li> 14</ul> 15<p class="TitleDescription-module-scss-module__o7imZq__paragraph">Each one accelerates development. Each one embeds policy decisions into the system. And each one can accelerate failure if governance isnât layered on top.</p> 16<p class="TitleDescription-module-scss-module__o7imZq__paragraph">At Orium, weâve worked across this landscapeâ building agentic prototypes for real-time inventory, customer engagement, and commerce orchestration. The lesson is always the same: frameworks give you speed, governance gives you scale.</p></div></div></div></section><section class="TitleDescription-module-scss-module__o7imZq__wrapper SectionWrapper-module-scss-module__16sarW__sectionWrap" style="background:transparent"><div class="content-wrapper"><div class="TitleDescription-module-scss-module__o7imZq__content"><h2 class="TitleDescription-module-scss-module__o7imZq__title">What Yesterdayâs Web Wars Teach Us Now</h2><div class="TitleDescription-module-scss-module__o7imZq__description"><p class="TitleDescription-module-scss-module__o7imZq__paragraph">The early internet splintered into competing standards. Security was optional, behavior was unpredictable, and interoperability felt like a moving target. The agent era has the same energy. Standards will settle eventually, but CIOs canât wait for equilibrium to act.</p> 17<p class="TitleDescription-module-scss-module__o7imZq__paragraph">You donât govern agents by locking them down. You govern them by giving them a space to operate safely and a system to surface issues early.</p></div></div></div></section><section class="TitleDescription-module-scss-module__o7imZq__wrapper SectionWrapper-module-scss-module__16sarW__sectionWrap" style="background:transparent"><div class="content-wrapper"><div class="TitleDescription-module-scss-module__o7imZq__content"><h2 class="TitleDescription-module-scss-module__o7imZq__title">Observability Is the New Governance</h2><div class="TitleDescription-module-scss-module__o7imZq__description"><p class="TitleDescription-module-scss-module__o7imZq__paragraph">If the cloud era demanded monitoring, the agent era demands traceability.</p> 18<p class="TitleDescription-module-scss-module__o7imZq__paragraph">Tools like LangSmith are stepping up with fine-grained visibility into decisions, tool usage, and reasoning paths. Ob
18servability platforms let leaders inspect behavior, enforce policy, flag anomalies, and prove compliance.</p></div></div></div></section><section class="TitleDescription-module-scss-module__o7imZq__wrapper SectionWrapper-module-scss-module__16sarW__sectionWrap" style="background:transparent"><div class="content-wrapper"><div class="TitleDescription-module-scss-module__o7imZq__content"><h2 class="TitleDescription-module-scss-module__o7imZq__title">How CIOs Can Govern Without Slowing Down</h2><div class="TitleDescription-module-scss-module__o7imZq__description"><p class="TitleDescription-module-scss-module__o7imZq__paragraph">CIOs donât need to choose between speed and safety. The organizations moving fastest are the ones building governance into the core of their agent strategy.</p> 19<p class="TitleDescription-module-scss-module__o7imZq__paragraph"><strong>Start in governed sandboxes.</strong> Use redacted or synthetic data and give agents scope-limited permissions. Let them learn inside controlled, observable environments.</p> 20<p class="TitleDescription-module-scss-module__o7imZq__paragraph"><strong>Treat agents like enterprise users.</strong> 21Identity, access, rate limits, audit trails, and usage monitoring arenât optional. Theyâre how you avoid surprise behavior.</p> 22<p class="TitleDescription-module-scss-module__o7imZq__paragraph"><strong>Stand up real-time observability.</strong> 23Track decisions, tool calls, and failure states. Build a picture of how each agent thinks and acts.</p> 24<p class="TitleDescription-module-scss-module__o7imZq__paragraph"><strong>Define escalation thresholds.</strong> 25Not every workflow should run without a human in the loop. Sensitive domains need approval paths.</p> 26<p class="TitleDescription-module-scss-module__o7imZq__paragraph"><strong>Create an AI governance working group.</strong> 27Bring together IT, security, risk, data, legal, and operations. Governance isnât a project. Itâs a discipline.</p></div></div></div></section><section class="TitleDescription-module-scss-module__o7imZq__wrapper SectionWrapper-module-scss-module__16sarW__sectionWrap" style="background:transparent"><div class="content-wrapper"><div class="TitleDescription-module-scss-module__o7imZq__content"><h2 class="TitleDescription-module-scss-module__o7imZq__title">A Practical Path Forward</h2><div class="TitleDescription-module-scss-module__o7imZq__description"><p class="TitleDescription-module-scss-module__o7imZq__paragraph">Enterprise AI wonât look like a single assistant. Itâll be a mesh of adaptive agents working across commerce, operations, content, and customer experience. The complexity is real, but itâs manageable with the right frame.</p> 28<p class="TitleDescription-module-scss-module__o7imZq__paragraph">CIOs donât need perfect standards. They need clarity, observability, and repeatable governance patterns. Start with structure. Build in transparency. Let agents earn autonomy over time.</p> 29<p class="TitleDescription-module-scss-module__o7imZq__paragraph">And if you need a starting point, Orium has you covered.</p></div></div></div></section><section class="[slug]-module-scss-module__CODXbq__popularSection SectionWrapper-module-scss-module__16sarW__sectionWrap" style="background:transparent"><div class="content-wrapper"><div class="[slug]-module-scss-module__CODXbq__popularContainer"><h3 class="[slug]-module-scss-module__CODXbq__popularTitle">Popular Articles</h3><div class="styles-module-scss-module__OMfm4W__wrapper"><article class="styles-module-scss-module__OMfm4W__card"><div class="styles-module-scss-module__OMfm4W__imageWrapper"><div class="styles-module-scss-module__OMfm4W__image Image-module-scss-module__hG1qAq__wrapper"><img alt="A woman presents in front of a screen displaying code, with a green diamond overlay." loading="lazy" width="30" height="30" decoding="async" data-nimg="1" class="styles-module-scss-module__OMfm4W__image Image-module-scss-module__hG1qAq__image" style="color:transparent" sizes="100vw" srcSet="/_next/image?url=https%3A%2F%2Fimages.ctfassets.net%2Fsh4yu0l0t3kv%2F4CQ6rgSXbSD8enptxzmnW6%2Fd800de65f1c5fe72517e75badfc32d1f%2FBuilding-Agents-Stop-Treating-hero-20.jpg&w=640&q=75 640w, /_next/image?url=https%3A%2F%2Fimages.ctfassets.net%2Fsh4yu0l0t3kv%2F4CQ6rgSXbSD8enptxzmnW6%2Fd800de65f1c5fe72517e75badfc32d1f%2FBuilding-Agents-Stop-Treating-hero-20.jpg&w=750&q=75 750w, /_next/image?url=https%3A%2F%2Fimages.ctfassets.net%2Fsh4yu0l0t3kv%2F4CQ6rgSXbSD8enptxzmnW6%2Fd800de65f1c5fe72517e75badfc32d1f%2FBuilding-Agents-Stop-Treating-hero-20.jpg&w=828&q=75 828w, /_next/image?url=https%3A%2F%2Fimages.ctfassets.net%2Fsh4yu0l0t3kv%2F4CQ6rgSXbSD8enptxzmnW6%2Fd800de65f1c5fe72517e75badfc32d1f%2FBuilding-Agents-Stop-Treating-hero-20.jpg&w=1080&q=75 1080w, /_next/image?url=https%3A%2F%2Fimages.ctfassets.net%2Fsh4yu0l0t3kv%2F4CQ6rgSXbSD8enptxzmnW6%2Fd800de65f1c5fe72517e75badfc32d1f%2FBuilding-Agents-Stop-Treating-hero-20.jpg&w=1200&q=75 1200w, /_next/image?url=https%3A%2F%2Fimages.ctfassets.net%2Fsh4yu0l0t3kv%2F4CQ6rgSXbSD8enptxzmnW6%2Fd800de65f1c5fe72517e75badfc32d1f%2FBuilding-Agents-Stop-Treating-hero-20.jpg&w=1920&q=75 1920w, /_next/image?url=https%3A%2F%2Fimages.ctfassets.net%2Fsh4yu0l0t3kv%2F4CQ6rgSXbSD8enptxzmnW6%2Fd800de65f1c5fe72517e75badfc32d1f%2FBuilding-Agents-Stop-Treating-hero-20.jpg&w=2048&q=75 2048w, /_next/image?url=https%3A%2F%2Fimages.ctfassets.net%2Fsh4yu0l0t3kv%2F4CQ6rgSXbSD8enptxzmnW6%2Fd800de65f1c5fe72517e75badfc32d1f%2FBuilding-Agents-Stop-Treating-hero-20.jpg&w=3840&q=75 3840w" src="/_next/image?url=https%3A%2F%2Fimages.ctfassets.net%2Fsh4yu0l0t3kv%2F4CQ6rgSXbSD8enptxzmnW6%2Fd800de65f1c5fe72517e75badfc32d1f%2FBuilding-Agents-Stop-Treating-hero-20.jpg&w=3840&q=75"/></div></div><div class="styles-module-scss-module__OMfm4W__content"><div class="styles-module-scss-module__OMfm4W__blogDetails"><div class="styles-module-scss-module__OMfm4W__titleAndDescriptionWrapper"><h3 class="styles-module-scss-module__OMfm4W__title">Building Agents? 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29icient, and production-ready.</p></div></div></div><a class="styles-module-scss-module__OMfm4W__cardLink LinkCustom-module-scss-module__OcE6wG__link" aria-label="Read article: Building Agents? Stop Treating messages[] Like a Database" href="/blog/structured-state-ai-agents"><span class="sr-only">Read article: <!-- -->Building Agents? 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30ight":1561}},"fileName":"The CIOs Guide-hero-20.jpg","contentType":"image/jpeg"}}},"eyebrow":"Article","title":"The CIOâs Guide to Governing AI Agents Safely at Scale","description":"Balancing autonomy and accountability in the era of adaptive, agent-driven commerce.\n","tags":["Governance","Agents","Security"],"heroSection":{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"53iWnnYWBD8d6rw1xFS0WD","type":"Entry","createdAt":"2025-12-17T20:13:30.147Z","updatedAt":"2025-12-17T20:13:30.147Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":5,"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"blogHero"}},"locale":"en-US"},"fields":{"name":"The CIOâs Guide to Governing AI Agents Safely at Scale","date":"2025-12-18","image":{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"6Sjcg9BCS7acUMVIbtDJMx","type":"Asset","createdAt":"2025-12-17T20:11:13.840Z","updatedAt":"2025-12-17T20:11:13.840Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":9,"revision":1,"locale":"en-US"},"fields":{"title":"The CIOs Guide - hero","description":"A close up of a chatbot conversation window on a laptop screen.","file":{"url":"//images.ctfassets.net/sh4yu0l0t3kv/6Sjcg9BCS7acUMVIbtDJMx/82e0462a74214ad507e0cb386efa092a/The_CIOs_Guide-hero-20.jpg","details":{"size":253233,"image":{"width":2881,"height":1561}},"fileName":"The CIOs Guide-hero-20.jpg","contentType":"image/jpeg"}}},"headline":"The CIOâs Guide to Governing AI Agents Safely at Scale\n"}},"authorName":"Tim Fernihough, Senior Director - Standards, Compliance \u0026 IT Services, Orium","intro":"AI agents arenât a future trend. Theyâre here, theyâre acting inside enterprise systems, and they arenât waiting for your governance workgroup to catch up.\n\nThese systems donât just generate language. They take action, orchestrate workflows, and navigate across the stack with a level of autonomy that feels both promising and unsettling. As more organizations move from isolated experiments to production-grade deployments, CIOs face familiar pressure: how to push the business forward without compromising trust, security, or scale.","sections":[{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"jAzikKpd3hsRfHvRKmyu2","type":"Entry","createdAt":"2025-12-17T20:14:46.045Z","updatedAt":"2025-12-17T20:14:46.045Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":3,"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"intro contd","longDescription":"Weâve lived through versions of this before. The early internet sprinted ahead of governance. So did the first era of mobile, the cloud, and API-driven commerce. Each time, leaders eventually built frameworks that let innovation grow without running off the rails. The opportunity now is to skip the cleanup phase and start with the right foundation.\n","sectionType":"intro"}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"3dCmjpcFC0h0Hit6lFAYU5","type":"Entry","createdAt":"2025-12-17T20:15:28.620Z","updatedAt":"2025-12-17T20:15:28.620Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":5,"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"Agentic Systems: The Next Layer of Enterprise Autonomy","title":"Agentic Systems: The Next Layer of Enterprise Autonomy","longDescription":"Traditional automation does what you hard-code. Agentic systems reason, plan, and decide what to do next. Give an agent a goalâoptimize inventory, personalize product discovery, accelerate content workflowsâand it can interpret context, choose tools, sequence actions, and adapt.\n\nThat autonomy unlocks efficie
30ncy, speed, and scale. It also raises the stakes.\nA wrong answer from a chatbot is an irritation; a wrong answer from an autonomous agent that updates a customer record or executes a workflow can create real operational risk.\n\nThis is why we think of agentic systems as a collaboration model between humans and agents rather than a path to unchecked automation. In every engagement, we build agents that act with autonomy but stay accountable to enterprise boundaries.\n","sectionType":"intro"}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"7iIhqkCOtlLVfOk3QKmlte","type":"Entry","createdAt":"2025-12-17T20:16:07.834Z","updatedAt":"2025-12-17T20:16:07.834Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":6,"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"Protocols Are Coming Fast. Governance Still Has to Catch Up.","title":"Protocols Are Coming Fast. Governance Still Has to Catch Up.","longDescription":"The ecosystem is racing toward interoperability. [MCP, A2A, and other emerging standards](https://orium.com/blog/agntcy-composable-ai-agents) promise cleaner connections between agents and tools. Theyâre helpful, but not a safety net.\n\nMCP makes tool access more predictable, though input validation becomes a new attack surface. Googleâs A2A lets agents discover and communicate with one another, but opens new questions about identity, trust, and message integrity. In sum: protocols reduce friction, but they donât eliminate risk.\n\nCIOs still need to evaluate agent behavior the same way they evaluate any enterprise integration: through the lenses of security, architecture, observability, and compliance.\n","sectionType":"intro"}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"3qWbg1VAgKZ4QN8NHGxmEa","type":"Entry","createdAt":"2025-12-17T20:17:53.613Z","updatedAt":"2025-12-17T20:17:53.613Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":13,"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"Frameworks Multiply Capabilityâand Risk","title":"Frameworks Multiply Capabilityâand Risk","longDescription":"Agent frameworks are evolving quickly, each shaping the way agents behave:\n\n- [LangGraph](https://www.langchain.com/langgraph) offers graph-based clarity and traceability.\n- [CrewAI](https://www.crewai.com/) mimics role-based team collaboration.\n- [SmolAgents](https://github.com/huggingface/smolagents) encourages rapid prototyping.\n- [Mastra](https://mastra.ai/) leans into typed, modular workflows that appeal to engineering teams.\n\nEach one accelerates development. Each one embeds policy decisions into the system. And each one can accelerate failure if governance isnât layered on top.\n\nAt Orium, weâve worked across this landscapeâ building agentic prototypes for real-time inventory, customer engagement, and commerce orchestration. The lesson is always the same: frameworks give you speed, governance gives you scale.\n","sectionType":"intro"}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"5sBy2nTIHYtj7RQCO0Z86Z","type":"Entry","createdAt":"2025-12-17T20:18:30.099Z","updatedAt":"2025-12-17T20:18:30.099Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":4,"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"What Yesterdayâs Web Wars Teach Us Now","title":"What Yesterdayâs Web Wars Teach Us Now","longDescription":"The early internet splintered into competing standards. Security was optional, behavior was unpredictable, and interoperability felt like a moving target. The agent era has the same energy. Standards will settle eventually, but CIOs canât wait for equilibrium to act.\n\nYou donât govern agents by locking them down. You govern them by giving them a space to operate safely and a system to surface issues early.\n","sectionType":"intro"}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"2iT3aHyyJdIRYc4N7RqMUF","type":"Entry","createdAt":"2025-12-17T20:19:03.943Z","updatedAt":"2025-12-17T20:19:03.943Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":5,"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"Observability Is the New Governance","title":"Observability Is the New Governance","longDescription":"If the cloud era demanded monitoring, the agent era demands traceability.\n\nTools like LangSmith are stepping up with fine-grained visibility into decisions, tool usage, and reasoning paths. Ob
30servability platforms let leaders inspect behavior, enforce policy, flag anomalies, and prove compliance.\n","sectionType":"intro"}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"76mIcxFAmrgMYKCnlWL0E6","type":"Entry","createdAt":"2025-12-17T20:20:05.091Z","updatedAt":"2025-12-17T20:20:05.091Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":8,"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"How CIOs Can Govern Without Slowing Down","title":"How CIOs Can Govern Without Slowing Down","longDescription":"CIOs donât need to choose between speed and safety. The organizations moving fastest are the ones building governance into the core of their agent strategy.\n\n__Start in governed sandboxes.__ Use redacted or synthetic data and give agents scope-limited permissions. Let them learn inside controlled, observable environments.\n\n__Treat agents like enterprise users.__ \nIdentity, access, rate limits, audit trails, and usage monitoring arenât optional. Theyâre how you avoid surprise behavior.\n\n__Stand up real-time observability.__ \nTrack decisions, tool calls, and failure states. Build a picture of how each agent thinks and acts.\n\n__Define escalation thresholds.__ \nNot every workflow should run without a human in the loop. Sensitive domains need approval paths.\n\n__Create an AI governance working group.__ \nBring together IT, security, risk, data, legal, and operations. Governance isnât a project. Itâs a discipline.\n","sectionType":"intro"}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"6PSFA4jz5Nus5AK4q2Mv11","type":"Entry","createdAt":"2025-12-17T20:20:39.557Z","updatedAt":"2025-12-17T20:20:39.557Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":4,"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"A Practical Path Forward","title":"A Practical Path Forward","longDescription":"Enterprise AI wonât look like a single assistant. Itâll be a mesh of adaptive agents working across commerce, operations, content, and customer experience. The complexity is real, but itâs manageable with the right frame.\n\nCIOs donât need perfect standards. They need clarity, observability, and repeatable governance patterns. Start with structure. Build in transparency. Let agents earn autonomy over time.\n\nAnd if you need a starting point, Orium has you covered.\n","sectionType":"intro"}}]}},"preview":false,"readTime":"4 min read","popularBlogs":{"name":"Popular Blogs","sectionTitle":{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"6ATNEkXgsLfag5jnGU00vF","type":"Entry","createdAt":"2025-06-30T12:28:08.879Z","updatedAt":"2025-10-02T15:20:07.288Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":7,"revision":2,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"Popular Blogs - Blog Landing Page","title":"Popular Blogs - Blog Landing Page"}},"columns":[{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"3KoRVJmUneNDFEFH15Rvik","type":"Entry","createdAt":"2025-06-20T16:13:39.441Z","updatedAt":"2025-10-16T15:43:53.011Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":139,"revision":47,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"blogPost"}},"locale":"en-US"},"fields":{"name":"Blog: Build Smarter AI Agents","seoTitle":"Build Smarter AI Agents: Use Structured State, Not Just messages","seoDescription":"Stop using messages as your agent's memory. Learn how structured state makes AI agents more reliable, eff
30icient, and production-ready.","slug":"structured-state-ai-agents","image":{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"4CQ6rgSXbSD8enptxzmnW6","type":"Asset","createdAt":"2025-07-21T14:20:02.727Z","updatedAt":"2025-08-06T13:55:30.109Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":6,"revision":2,"locale":"en-US"},"fields":{"title":"Blog: Build Smarter AI Agents Image","description":"A woman presents in front of a screen displaying code, with a green diamond overlay.","file":{"url":"//images.ctfassets.net/sh4yu0l0t3kv/4CQ6rgSXbSD8enptxzmnW6/d800de65f1c5fe72517e75badfc32d1f/Building-Agents-Stop-Treating-hero-20.jpg","details":{"size":351080,"image":{"width":2881,"height":1561}},"fileName":"Building-Agents-Stop-Treating-hero-20.jpg","contentType":"image/jpeg"}}},"eyebrow":"Article","title":"Building Agents? Stop Treating messages[] Like a Database","description":"Stop using messages as your agent's memory. Learn how structured state makes AI agents more reliable, efficient, and production-ready.","tags":["AI","Agents","Architecture","R\u0026D"],"heroSection":{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"2GFJmvgOwl7DA9gVatAfsp","type":"Entry","createdAt":"2025-07-04T17:43:00.891Z","updatedAt":"2025-10-06T15:13:54.404Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":19,"revision":7,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"blogHero"}},"locale":"en-US"},"fields":{"name":"Build Smarter AI Agents: Hero","date":"2025-07-17","image":{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"4CQ6rgSXbSD8enptxzmnW6","type":"Asset","createdAt":"2025-07-21T14:20:02.727Z","updatedAt":"2025-08-06T13:55:30.109Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":6,"revision":2,"locale":"en-US"},"fields":{"title":"Blog: Build Smarter AI Agents Image","description":"A woman presents in front of a screen displaying code, with a green diamond overlay.","file":{"url":"//images.ctfassets.net/sh4yu0l0t3kv/4CQ6rgSXbSD8enptxzmnW6/d800de65f1c5fe72517e75badfc32d1f/Building-Agents-Stop-Treating-hero-20.jpg","details":{"size":351080,"image":{"width":2881,"height":1561}},"fileName":"Building-Agents-Stop-Treating-hero-20.jpg","contentType":"image/jpeg"}}},"headline":"Building Agents? Stop Treating messages[] Like a Database"}},"authorName":"Danny Lake, Product Architect + Agentic AI SME, Orium","intro":"When I first started building agents, I followed the examples. Like most developers, I handled state by appending everything to a single growing messages[] transcript: user prompts, model replies, tool-call requests, and tool results. It workedâ at first.","sections":[{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"7g1gtWESHNZazbLyd1e79y","type":"Entry","createdAt":"2025-07-01T21:03:51.274Z","updatedAt":"2025-10-02T15:15:42.440Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":50,"revision":14,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"Build Smarter AI Agents: Paragraph 1","longDescription":"But as my agentâs logic became more complex, cracks started to show. The model would repeat tool calls it had already run. Prompt templates ballooned with irrelevant context. I was writing functions to parse the messages[] transcript just to extract the right tool-call result when constructing prompts. It started to feel strange. There had to be a better way.\n\nThe deeper problem wasnât the tools themselves, it was my assumption that the transcript was the state.\n\n[LangGraph](https://www.langchain.com/langgraph) gave me a new lens. Instead of treating the transcript as a catch-all for everything the agent might need to âremember,â
30 I could model structured state explicitly: targeted inputs for each node and isolated fields for tool results, usage history, and other reusable data. Even certain assistant responsesâlike internal reasoning or chosen strategiesâdeserve their own state fields if theyâll be reused later. This state lives in the LangGraph thread object and persists across runs, letting me feed the model smaller, more-focused prompts with exactly the context it needs, no transcript archaeology required.\n\nThis post walks through that shift and how adopting structured state makes agents more robust, reliable, and ready for real use."}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"4A8YZAtUapw4WuT8sOyt5k","type":"Entry","createdAt":"2025-07-16T15:37:03.964Z","updatedAt":"2025-10-02T15:14:28.554Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":20,"revision":6,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"Build Smarter AI Agents: Paragraph 2","title":"Pattern Snapshot","longDescription":"Most demos turn the transcript into an accidental database. Instead, lift heavy data into structured state and keep the transcript lightweight:\n\n // Before\n graphState = {\n messages[] //a mix of user prompts, assistant replies, tool call requests, toolcall results\n }\n\n //After\n graphState = {\n messages[], //chat flow only: user prompts and assistant replies worth showing to the user\n toolResults,\n userPreferences,\n â¦other reusable data\n }\n\nThe messages[] transcript stays readable and short; the agentâs real âworking memoryâ lives in dedicated fields contained in the graphâs state, where itâs structured, inspectable, and easy to reuse. The datatype of these dedicated fields is entirely up to you - for example a string, boolean, number, or an object - whichever best fits your needs.\n"}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"4iwj6DizvbXSu9iirIweVc","type":"Entry","createdAt":"2025-07-16T15:37:51.873Z","updatedAt":"2025-10-02T15:18:28.269Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":15,"revision":5,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"Build Smarter AI Agents: Paragraph 3","title":"Benefits of Shifting Data Out of messages[]","longDescription":"- Lower token costs â lean prompts skip the full history of tool calls and chat.\n- Easier inspection \u0026 debugging â state lives in named fields you can log and view instead of being buried in a wall of tokens.\n- Predictable, controllable behaviour â explicit state makes each nodeâs inputs and outputs deterministic, so you direct the LLM with exactly the context it needs rather than hoping it finds the right slice in a giant transcript.\n- Higher accuracy â trimming unrelated messages and stale tool results reduces noise so the model focuses on the signal.\n- Simpler testing â each LangGraph node can be unit-tested with a small, explicit state payload instead of reconstructing a massive message log."}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"3s4z6Bvg1Irl209oLTzWj8","type":"Entry","createdAt":"2025-07-16T15:40:04.870Z","updatedAt":"2025-10-02T15:14:51.043Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":31,"revision":7,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"Build Smarter AI Agents: Paragraph 4","title":"Case Example: Search Results Bloat","longDescription":"### The anti-pattern\n\nMost tutorials set up an LLM with tool calling enabled and then append both the tool-call request and its JSON result straight into the messages[] log. Now imagine a user asks, âWhatâs the forecast for this weekend?â â and then keeps chatting.\n\n1. Every new user message fires the search tool again.\n2. Eac
30h run appends another request and another JSON blob to messages[].\n3. When the user finally says, âSo, should I pack an umbrella?â, the LLM must sift through the entire transcript, decide which of many search results is current, and use that data correctly.\n\nThat means longer prompts, more tokens, and fragile reasoning.\n\n### A better way\n\nLift the data into state:\n\n graphState[\"searchResults\"] = results_json\n\nâ¦then inject only what each node needs:\n\n Here are the search results:\n {{searchResults}}\n\nNow each user message can reuse or refresh __graphState.searchResults__ without bloating the transcript, and the LLM always sees the right data in a clean prompt.\n\nLangGraph makes this possible, but it doesnât force it. Making the leap is up to you.\nThe same logic applies to reusable assistant insights: summaries, recommended actions, parsed conclusions. Store them in state, not in the messages[] array."}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"FKeizseR6r4HzxmSjfRn4","type":"Entry","createdAt":"2025-07-16T15:41:04.834Z","updatedAt":"2025-10-02T15:15:58.308Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":15,"revision":6,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"Build Smarter AI Agents: Paragraph 5","title":"Implementation Tips","longDescription":"- Treat LangGraph thread state as working memory â structured, inspectable, portable.\n- Create clear fields: searchResults, userProfile, pricingData, strategySummary, etc.\n- If an assistant message will guide later steps, lift it into state instead of leaving it in the transcript.\n- Keep messages[] clean: user text and final assistant replies only.\n- Construct prompt templates with just the relevant state needed to best support the LLM in its response."}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"5Uk305TmwtdqulF7qSlx0d","type":"Entry","createdAt":"2025-07-17T16:01:50.514Z","updatedAt":"2025-10-02T15:18:15.059Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":7,"revision":2,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"Build Smarter AI Agents: Paragraph 6","title":"Final Thought","longDescription":"Using messages[] for everything worksâ for a while. But as agents grow, this pattern becomes brittle, opaque, and expensive.\n\nTreat the transcript as a transcript, not a brain. Structured state preserves what mattersâtool results, assistant reasoning, decisionsâbringing clarity, determinism, and real-world reliability.\n"}}]}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"2aKnz6oWVuh7pssOONX7Ab","type":"Entry","createdAt":"2025-06-20T16:14:31.426Z","updatedAt":"2025-10-16T15:42:07.209Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":129,"revision":46,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"blogPost"}},"locale":"en-US"},"fields":{"name":"Blog: Why AI Forces a Rethink of Change Management","seoTitle":"Why AI Demands a New Approach to Change Management","seoDescription":"Traditional change management no longer works. Learn why AI raises the stakes and how to design adoption into every stage of your transformation.","slug":"ai-change-management-rethink","image":{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"64uHuL4czafGUkvockADFR","type":"Asset","createdAt":"2025-07-21T14:22:25.779Z","updatedAt":"2025-08-06T13:56:17.220Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":7,"revision":2,"locale":"en-US"},"fields":{"title":"Blog: Why AI Forces a Rethink of Change Management Image","description":"A robotic hand interacts with a computer displaying code, with an orange star pattern overlay.","file":{"url":"//images.ctfassets.net/sh4yu0l0t3kv/64uHuL4czafGUkvockADFR/7a9484bcf57e90c23f752a6d880835c8/why-ai-forces-a-rethink-hero-image.jpg","details":{"size":343606,"image":{"width":2881,"he
30ight":1561}},"fileName":"why-ai-forces-a-rethink-hero-image.jpg","contentType":"image/jpeg"}}},"eyebrow":"Article","title":"Why AI Forces a Rethink of Change Management","description":"Traditional approaches to change management werenât working before. AI just makes the gaps impossible to ignore.","tags":["Services","AI"],"heroSection":{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"hmhlQpbFA1iIPIhJgkU9a","type":"Entry","createdAt":"2025-07-01T16:25:06.835Z","updatedAt":"2025-10-06T15:13:35.076Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":13,"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"blogHero"}},"locale":"en-US"},"fields":{"name":"Why AI Forces a Rethink of Change Management","date":"2025-07-17","image":{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"64uHuL4czafGUkvockADFR","type":"Asset","createdAt":"2025-07-21T14:22:25.779Z","updatedAt":"2025-08-06T13:56:17.220Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":7,"revision":2,"locale":"en-US"},"fields":{"title":"Blog: Why AI Forces a Rethink of Change Management Image","description":"A robotic hand interacts with a computer displaying code, with an orange star pattern overlay.","file":{"url":"//images.ctfassets.net/sh4yu0l0t3kv/64uHuL4czafGUkvockADFR/7a9484bcf57e90c23f752a6d880835c8/why-ai-forces-a-rethink-hero-image.jpg","details":{"size":343606,"image":{"width":2881,"height":1561}},"fileName":"why-ai-forces-a-rethink-hero-image.jpg","contentType":"image/jpeg"}}},"headline":"Why AI Forces a Rethink of Change Management\n"}},"authorName":"Jen Wright, Senior Director, Strategic Delivery, Orium","intro":"Change management has long played a supporting roleâcomms, training, and checklists meant to ease people into new toolsâwith a low bar for success. Check the boxes, launch system, and move on. Good enough. But good enough came at a cost.\n","sections":[{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"tK9iV9taN4G1kOFSfE3KX","type":"Entry","createdAt":"2025-07-17T16:07:34.170Z","updatedAt":"2025-10-02T15:15:28.733Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":8,"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"Why AI Forces a Rethink of Change Management: Paragraph 1","longDescription":"Teams adopted software without fully using it. Workarounds became the norm. Strategic goals like efficiency, insight, and speed were quietly diluted by partial adoption and quiet resistance. Change happened, but results were never fully realized even as millions were spent on platforms and integrationsâ not because the tech failed, but because the human transition was underpowered or ignored.\n\nNow, AI is raising the stakes on transformation.\n\nIntelligent agents donât just streamline tasks, they change how decisions are made, how roles are structured, and where control lives. They act more like semi-autonomous teammates than tools, influencing outcomes in ways that feel personal. Adopting them is less like rolling out software and more like adding a new hireâ one who never sleeps, knows more than most, and in the eyes of many, wasnât invited.\n\nThat kind of change hits differently. It needs to be treated like a true team shift, with clarity, shared expectations, and trust. Without that, resistance sets in."}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"20ptRlBJWexkIggLUEjLfc","type":"Entry","createdAt":"2025-07-17T14:46:59.768Z","updatedAt":"2025-10-02T15:15:06.035Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":12,"revision":5,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"Why AI Forces a Rethink of Change Management: Paragraph 2","title":"Change Management is More Than a Phase, itâs a Core Requirement","longDescription":"Traditional change management breaks down in the face of AI and intelligent systems. It assumes change happens after the system is built: a rollout phase, a round of training, and a handoff to enablement. But with AI and agents, the hard part isnât getting people to use a system. Itâs designing the system so people want to use it, because it fits how they work, earns their trust, and clarifies (not c
30onfuses) their role.\n\nThat canât be retrofitted. Change has to shape how the thing is built from the beginning.\n\nAI-led transformation fails when people donât trust it, donât understand their role, or canât see how it improves their work. Those foundationsâclarity, confidence, trustâmust be baked in early. No training or comms sprint can fix what wasnât considered upfront.\n\nAI doesnât just change toolsâit changes decisions, roles, and control. That brings fear. And fear shows up long before launch dayâ in uncomfortable meetings, pronounced silences, and hesitation to commit to decisions. If you donât design for trust throughout, youâll spend your time managing resistance after the fact.\n"}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"4owAeX9483YzdhFdrGRAQ4","type":"Entry","createdAt":"2025-07-17T14:48:40.713Z","updatedAt":"2025-11-26T21:15:17.297Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":22,"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"Why AI Forces a Rethink of Change Management: Paragraph 3","title":"Leading Change in the Age of AI","longDescription":"Treating change as a core constraint doesnât mean adding extra meetings or documentation. It means asking better questions at key moments, ones that shape the build itself. The earlier these questions surface, the fewer surprises downstream.\n\n__Whatâs changing for the people this system touches, and how materially?__\nIf the answer is âa lotâ (and it probably is) treat those changes like features: scoped, validated, and tracked. Map old vs. new workflows. Run role clarification workshops before development starts. Build in readiness checkpoints. Create frontline feedback loops that shape the system in real time.\n\n__Whoâs losing control, visibility, or decision rights?__\nThese people are often gatekeepers and their quiet resistance can sink adoption. Identify friction early: who used to approve something that the agent now handles? Bring them into plan reviews. Document whatâs shifting, and clarify how governance will work going forward. Donât gloss over the power dynamics, deal with them directly.\n\n__Where is the team skewing negative and how do we rebalance?__\nWith AI and agents, teams often fixate on what might break, who might lose, or why it wonât work. That caution has a place, but it can drown out possibility. Run pre-mortems and âpre-successes.â Document risks and unrealized benefits. Make sure the loudest voices in the room arenât just the most skeptical.\n\n__How will this land in day-to-day work?__\nDeploying agents isnât just a technical implementation, itâs a form of org design. Youâre introducing a new actor into the system, and that requires the same rigor you'd apply to defining a human role. Whatâs the agent accountable for? Where does it hand off? What does collaboration look like? Use tools like RACI models or workflow diagrams and adapt them to include agents. When expectations are explicit, teams are far more likely to engage rather than resist. Uncertainty is often scarier than the change itself.\n\n__How transparent are we being about whatâs changing and whatâs still uncertain?__\nPeople donât need false certainty. They need honesty. Leaders should acknowledge that AI-driven change is complex, unpredictable, and often uncomfortable. That includes naming the fears, recognizing the workload, and admitting when all the answers arenât there yet. What builds trust isnât perfection, itâs a clear commitment to communicating openly, often, and early.\n"}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"3qUm8lYabQ3mEHgG3lgXdx","type":"Entry","createdAt":"2025-07-17T14:49:08.843Z","updatedAt":"2025-10-02T15:17:01.742Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":8,"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"Why AI Forces a Rethink of Change Management: Paragraph 4","title":"How Orium Enables Adoption from the Start","longDescription":"At Orium, we donât treat change management as a separate service. We treat it as a mindset that informs how we build. That mindset starts early: during discovery, during architecture, during delivery. Weâre not layering change on top of the system. Weâre shaping the system so change can succeed.\n\nWe surface role impacts early and define them explicitlyâ not just for humans, but for agents too. We document whatâs changing, for whom, and how success will be measured from a people perspective, not just a platform one. And we make space for transparent, ongoing communication. We acknowledge the fear, the friction, and the uncertainty, and we show how feedback is actively shaping the build.\n\nWe stay alert for early frictionâunclear ownership, quiet pushback, or workflow cracks that get glossed over in planning but surface during execution. These arenât annoyances to
30smooth over later, theyâre signals. And we treat them that way, adjusting course before small problems become cultural resistance.\n\nMost importantly, we partner directly with leaders as they navigate this change. Sometimes that means offering an outside perspective. Sometimes itâs helping execs make sense of what theyâre hearing from their teams. And sometimes, itâs just being a sounding board. Change is hardâeven when itâs wantedâand we help leaders carry that load.\n\nAI projects come with big expectations and a degree of uncertainty. At Orium, we help leaders manage both by making change part of how the work gets done, not an afterthought.\n"}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"1bba6QBkKBQZu0cHcIqMWI","type":"Entry","createdAt":"2025-07-17T14:49:33.933Z","updatedAt":"2025-10-02T15:16:43.347Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":8,"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"Why AI Forces a Rethink of Change Management: Paragraph 5","title":"Change Isnât a Phase. Itâs the Work.","longDescription":"AI brings out a lot of feelings: good feelings like enthusiasm and curiosity, but also negative feelings like fear, uncertainty, and even grief. Thatâs always been part of change management, but with AI, itâs amplified, because the change isnât limited to a new tool or a single workflow. Itâs all around us. People are navigating it in their jobs, in the news, and in their careers. Theyâre not just reacting to this project, theyâre reacting to everything AI represents in their lives.\n\nAs AI-supported development makes it faster to build and deploy solutions, the work of transformation shifts even more heavily to people, workflows, and adoption. The tech can move quickly, but itâs the human system that needs the most attentionâ and the most intention.\n\nChange management in the age of AI isnât a checklist. And itâs not just a comms plan or a training module. Itâs a mindset that has to shape how we scope projects, define roles, make decisions, and measure success. Teams that treat it that way move faster, adopt more fully, and avoid the quiet resistance that stalls transformation.\n\nIf you want adoption, build for it. If you want people to embrace agents, help them see where they still belong. If you want real, lasting change, put the people in the system at the center. Leave them out, and the system fails. Itâs as simple as that.\n"}}]}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"58kGWBRgeIlQBBqD5KCDAu","type":"Entry","createdAt":"2025-06-26T18:26:05.089Z","updatedAt":"2025-10-16T15:40:28.378Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":52,"revision":17,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"blogPost"}},"locale":"en-US"},"fields":{"name":"Blog: AI Isnât Killing Services, Itâs Redefining Them","seoTitle":"AI Is Redefining Services, Not Replacing Them","seoDescription":"Discover how agent-powered services are evolving with AI and why smart firms are shifting from hours to outcomes in the new services era.","slug":"ai-powered-service-transformation","image":{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"16fnns8S00H1n1sIY1vdZE","type":"Asset","createdAt":"2025-06-27T19:52:39.554Z","updatedAt":"2025-08-06T13:52:54.240Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":11,"revision":3,"locale":"en-US"},"fields":{"title":"Blog: AI Isnât Killing Services, Itâs Redefining Them Image","description":"Three people have a discussion in a modern meeting room, with a large monitor in the background and a gold star pattern overlay.","file":{"url":"//images.ctfassets.net/sh4yu0l0t3kv/16fnns8S00H1n1sIY1vdZE/8babd0db94931e964e9e6c4dd3500416/AI_Isnt_Killing_Services__Its_Redefining_Them-hero-20.jpg","details":{"size":458287,"image":{"width":2881,"he
30ight":1561}},"fileName":"AI Isnt Killing Services_ Its Redefining Them-hero-20.jpg","contentType":"image/jpeg"}}},"eyebrow":"Article","title":"AI Isnât Killing Services, Itâs Redefining Them","description":"How smart companies are evolving with agent-powered delivery models, and what it takes to lead in the new era of intelligent services.\n","tags":["Services","AI"],"heroSection":{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"1yJiqQSi9NryIU0zRWGfuR","type":"Entry","createdAt":"2025-07-17T01:28:31.858Z","updatedAt":"2025-10-06T15:13:21.681Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":19,"revision":7,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"blogHero"}},"locale":"en-US"},"fields":{"name":"AI Isnât Killing Services, Itâs Redefining Them","date":"2025-07-22","image":{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"16fnns8S00H1n1sIY1vdZE","type":"Asset","createdAt":"2025-06-27T19:52:39.554Z","updatedAt":"2025-08-06T13:52:54.240Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":11,"revision":3,"locale":"en-US"},"fields":{"title":"Blog: AI Isnât Killing Services, Itâs Redefining Them Image","description":"Three people have a discussion in a modern meeting room, with a large monitor in the background and a gold star pattern overlay.","file":{"url":"//images.ctfassets.net/sh4yu0l0t3kv/16fnns8S00H1n1sIY1vdZE/8babd0db94931e964e9e6c4dd3500416/AI_Isnt_Killing_Services__Its_Redefining_Them-hero-20.jpg","details":{"size":458287,"image":{"width":2881,"height":1561}},"fileName":"AI Isnt Killing Services_ Its Redefining Them-hero-20.jpg","contentType":"image/jpeg"}}},"headline":"AI Isnât Killing Services, Itâs Redefining Them\n"}},"authorName":"Thomas Mulreid, VP Sales, Orium","intro":"âAI is going to kill services.â \n\nI hear this every day, and I donât buy it. Cloud didnât kill services. Composable didnât kill services. AI technology wonât kill services either. But it will change what people value, and more importantly, what they are willing to pay for. AI will reshape services, but it wonât eliminate them. \n\nWeâre already seeing the impacts of automation and AI across nearly every industry as LLM tools become commonplace, and the truth is weâre just at the beginning of the journey. But even as AI reshapes the landscape around us, services wonât disappear. In fact, as uncertainty and change become a permanent part of the fabric of doing business, convenience, expertise and experience will come at an even higher premium.\n","sections":[{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"2Qk7mJNUcDUroyvhYBDPXw","type":"Entry","createdAt":"2025-07-17T14:57:27.325Z","updatedAt":"2025-10-02T15:19:35.461Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":6,"revision":2,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"How Services Are Changing and What the Future Looks Like","title":"How Services Are Changing and What the Future Looks Like","longDescription":"Thereâs no getting around it: routine, low-value work is disappearing. Tasks such as setting up code components, tweaking UIs, or writing QA tickets no longer demand hours of manual effort. AI and agentic tools now handle image validation, merchandising automations, and reporting with minimal oversight. Itâs not that the volume of this work has gone away, but rather the human effort required to do it has dropped dramatically.\n\nAs these rote tasks fade, services teams will become leaner and more focused. Large, junior-heavy teams are being supplanted by skilled specialists paired with intelligent agents and client-side experts to deliver higher-quality outcomes, faster.\n\nThat means velocity and precision are the new competitive edge. Rather than throwing bodies at problems, modern service providers are expected to bring smart systems, accelerators, and agent-powered workflows that cut down on cycle times and raise the quality bar. Clients arenât interested in buying hours anymore, but they will buy speed, certainty, and outcomes.\n\nThe firms that thrive in this new reality wonât be the ones that resist change or try to protect the old margins. Theyâll be the ones that embrace AI as a co-pilot, invest in upskilling their teams, and reorient their delivery models around value, not volume. \n"}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"KlQDpJuIrcwjKKLcG4UXJ","type":"Entry","createdAt":"2025-07-17T14:59:15.897Z","updatedAt":"2025-11-26T19:33:08.809Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":8,"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"Where we are changing the status quo and what value we deliver to clients","title":"Where we are changing the status quo and what value we deliver to clients","longDescription":"Clients want accelerated development velocity. They ask for end-to-e
30nd automation of repetitive tasks so their teams can focus on strategy and innovation, and they look for smarter project management routines, AI-assisted QA, and sales proposals that reduce overhead. So we recalibrated our routines, our offers, and our approach to be able to give them what they need.\n\nBy integrating custom accelerators, automated testing frameworks, and agentic workflows directly into project delivery, we help customers reach their goals without the large teams (and larger billed hours) of a bygone era. \n\nBy co-delivering with client teams, weâre able to keep everyone aligned and moving forward, harnessing specialized talent and modern project governance that can flex for rapid innovation. \n\nAnd by building on a heritage of Agile methodologies and composable technology foundations, we continue to refine our approach and offerings to suit the dynamically evolving needs of enterprise organizations.\n\nIn short, weâre doing what weâve always done: taking a customer-centric approach to how we operate. And in the age of AI, that means embracing automation, assistive technology, and agents.\n"}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"1RKIv89oQ2bNhcUicuXxom","type":"Entry","createdAt":"2025-07-17T15:00:26.834Z","updatedAt":"2025-10-02T15:13:43.875Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":13,"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"How Orium Embraced the Agentic and AI World and Advice for Companies","title":"How Orium Embraced the Agentic and AI World and Advice for Companies","longDescription":"We recognized early that AI adoption requires intentional change. And itâs not just a change in tooling; this is an end-to-end change management lift that cuts deep into habits formed over decades of services work. To tackle this, weâve built a whole-systems structure for our teams.\n\nInternally, there are three core components:\n\n__1. Tool training and testing__: We held monthly leadership workshops and trained teams in new tooling. We gave our whole organization access to the best AI assistants with guardrails that allowed for safe experimentation, streamlining our security assessment criteria for faster testing of new tools.\n\n__2. Embedding AI and new routines__: We built internal agents for everything from daily project routines and QA support to reporting and company engagement, ensuring AI became a part of the fabric of our daily work lives so everyone was familiar and comfortable with the new technology.\n\n__3. Org structure and role redefinition__: We invested time, energy and care into mapping the roles and functions we need, redefining what key roles will look like in 2-3 years time as these tools and processes become standard, and creating rubrics that offer clarity and a roadmap for long-term success so team members can see and understand the changes and work with managers to upskill along the way.\n\nServices, in the end, is all about peopleâ even as AI-powered agents enter the collaborative workforce. Itâs why intentional planning and real change management are essential, ensuring people are at the core of the technology evolution, and not the other way around.\n\nBut internal changes are only half of the equation (and in some ways, the easier half). \n\nOn the client side, timelines, attitudes, and expectations are much less within your control, but the shift here needs to be as intentional and focused as internal all the same. With a foundation in composable, we had an advantage: our core skillset and offerings were built around the ability to adjust and adapt as markets evolve. But our commercial models needed to evolve to reflect those changes, so weâve shifted to fixed-scope, outcome-driven engagements instead of buckets of hours with uncertain results. By tying fees directly to outcomes, weâre able to give clients the path to ROI they need when investing in new technologies. \n\nMy advice for any company on this path is to plan for c
30ompany-wide transformation. Invest in training, give teams time to experiment, and align incentives with outcomes rather than hours.\n"}},{"metadata":{"tags":[],"concepts":[]},"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"sh4yu0l0t3kv"}},"id":"7xPL33aJtC3tYTLoCe4Puk","type":"Entry","createdAt":"2025-07-17T15:00:46.597Z","updatedAt":"2025-10-02T15:19:00.514Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"publishedVersion":6,"revision":2,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"titleAndDescription"}},"locale":"en-US"},"fields":{"name":"Where to Start","title":"Where to Start","longDescription":"This is a key moment in our industry. The change is happening, itâs happening fast, and it is big. How you approach this moment will determine your long-term success, thereâs no way around it. But services firms are built on the ability to navigate big, transformational change, so treat your firm the way you would any client.\n\nBegin by defining your North Star and establish clear success metrics for AI adoption. Put the tools in your teamâs hands with as much liberty as you can safely grant them, testing agents and AI tools on real tasks. Explore demos, read case studies, and immerse yourself in what AI can do. Most importantly, talk to your teams and bring them along on the journey. Ask for their input, listen to their concerns, and work with them to co-create your future.\n\nWhen in doubt, speak to others further ahead of you. Call Orium, talk to peers, go listen to some AI software pitches. Once you see AI in action, you canât unsee its impact. The key is hands-on experience.\n\nAI is not killing services. It is the catalyst for a new era of high-value, agent-powered offerings. At Orium, weâre leading that transformation. If youâre ready to reshape your services for the AI age, start now and partner with experts who have already walked the path.\n"}}]}}]},"locale":"en-US"},"__N_SSG":true},"page":"/blog/[slug]","query":{"slug":"cio-guide-governing-ai-agents"},"buildId":"Bt791V4hv-uJUCUsEmTzv","isFallback":false,"isExperimentalCompile":false,"gsp":true,"locale":"en-US","locales":["en-US","es"],"defaultLocale":"en-US","scriptLoader":[]}</script>
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