『Stop Feeding Copilot Lies: The IA Blueprint』のカバーアート

Stop Feeding Copilot Lies: The IA Blueprint

Stop Feeding Copilot Lies: The IA Blueprint

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Your AI isn’t broken — your information architecture is. In this cinematic, noir-style deep dive, we explore why Microsoft 365 Copilot delivers inconsistent answers, why search feels haunted, and why users keep wandering your intranet like detectives without a map. The truth is simple: AI mirrors the system it’s born into, and most intranets are cities built without streets. If your search is noisy, your hubs are sprawling, and Copilot keeps “guessing,” this episode is your blueprint for fixing it. Episode Summary AI accuracy isn’t an AI problem — it’s an IA problem.This episode walks you through the digital city of your tenant and exposes the patterns that break Copilot’s grounding: overshared sites, metadata deserts, hub sprawl, navigation loops, and content with no authority. We break down:Why structure determines what Copilot can retrieveWhy semantics determine whether it understands meaningWhy governance determines whether you can trust the outcomeAnd we explore real “case files” pulled from the field — from leaky permissions to policy libraries with no fingerprints. Cold Open — The City Breathes in Static A noir introduction that sets the tone: rain, humming servers, flickering monitors, and an AI that “stopped making sense.” But the AI isn’t confused — the intranet is.Pages drift. Metadata vanishes. Search tightens its filters. Users wander through loops.And the detective (you) is called in to diagnose the rot. The Real Problem — A City Without Streets An intranet without Information Architecture is a city without:StreetsDistrictsSignsNamesPages multiply. Navigation collapses. Search thresholds rise. Content gets crawled but never indexed. Users think the AI is failing, but in truth: ✔️ The index can’t trust your content✔️ Copilot can’t ground its answers✔️ Stale and duplicate pages become “ghosts”✔️ Drift destroys authority and structure This section explains why chaos in IA always becomes chaos in AI. What Information Architecture Really Is — The Skeleton Under Neon IA isn’t design fluff. It’s physics.It defines the shape of your digital city: StructureClear site hierarchyPurposeful hubsHonest library boundariesNavigation that reflects realitySemanticsLabels that match human languageContent types that assign meaningTerm Store taxonomies that unify vocabularyMetadata as fingerprintsRelationshipsPages linked by purpose, not whimNavigation that tells the truthNo dead ends, no loops, no blind alleysWhen the structure fits the content, the index breathes — and Copilot grounds. Why IA Matters for AI — Stop Feeding Copilot Lies Most teams think prompt engineering will fix AI mistakes. But prompts are just flashlights. IA is the map. In this section, we break down how Copilot actually works:It follows hub boundariesIt respects content types and metadataIt ranks authoritative documents firstIt depends on clean page structure to parse meaningIt amplifies your search schema — good or badIf your IA is weak, Copilot doesn’t hallucinate — it guesses.And guesses feel like lies. Case File I — Overshared Sites: Doors Unlocked in the Dark A collaboration site left open.Anonymous links that never died.Guests walking hallways uninvited.And Copilot, following signals, pulling content it should never have touched. This section covers:How oversharing corrupts AI groundingWhy search exposes permissions flawsHow to fix your sharing postureHow SharePoint Advanced Management becomes the detective bureauWalls matter. AI respects them if you build them. Case File II — Metadata Deserts: A Library Without Names A policy library with:No content typesNo metadataNo ownersSix “final” copiesFilenames that lieCopilot couldn’t find the source of truth because nothing declared itself as truth. This section explains:Why metadata is the legal system of your intranetHow classifiers can auto-assign types and fieldsHow search ranking boosts sources of recordWhy authority collapses without lifecycle governanceMetadata isn’t busywork — it’s evidence. Case File III — Hub Sprawl & Broken Navigation: A Map Drawn by Ghosts Departments built hubs like neighborhoods built by ghosts:Duplicate “Resources” pagesEndless loopsRedundant nav labelsNo highways connecting districtsCopilot followed the broken map and stitched answers from the wrong districts. This section teaches:How to design a small, intentional hub hierarchyHow to build global navigation with integrityHow to scope search and Copilot retrievalHow to eliminate legacy ghosts and navigation rotWhen the map is honest, AI walks straight. The Blueprint — Build the Digital City for AI Three chapters. In this exact order. 1. Structure: Define the DistrictsEnterprise hubFunctional hubsRegional/Product hubsGlobal navigationPurposeful libraries2. Semantics: Name the InhabitantsContent types with fields that matterHuman labelsA unified Term StoreMetadata automation & classifiersSearch schema aligned...
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