{
  "format": "agent-article-v0",
  "article_id": "EA-001",
  "canonical_url": "/tools/ea-001-plan-organization-mode",
  "page_type": "decision",
  "claim_ids": [],
  "evidence_ids": [
    "EVD-EA-001-URL-19AD79773D9C",
    "EVD-EA-001-URL-1B3FF8E6385E",
    "EVD-EA-001-URL-88187BB65566",
    "EVD-EA-001-URL-B62A5D4C8C44",
    "EVD-EA-001-URL-A20CDBBD2DFA",
    "EVD-EA-001-URL-47030BE82E7F",
    "EVD-EA-001-URL-4F373ED1C16F",
    "EVD-EA-001-URL-B085C7F1762B",
    "EA-001-CURRENT-APPROVAL",
    "EA-001-CURRENT-BODY-READBACK"
  ],
  "unknown_ids": [
    "EA-001-UNKNOWN-01"
  ],
  "operational_object_ids": [],
  "provider": [
    "OpenAI",
    "Google",
    "Microsoft",
    "Anthropic"
  ],
  "models": [],
  "plans": [],
  "surfaces": [],
  "regions": [],
  "current_status": "CURRENT",
  "observation_status": "SPEC_ONLY",
  "freshness": "CURRENT",
  "last_verified": "2026-10-11",
  "supersedes": [],
  "superseded_by": [],
  "provenance": [
    "V21-CANDIDATE-EA001-BASE-20261011-C2",
    "SRC-EA-001-URL-19AD79773D9C",
    "SRC-EA-001-URL-1B3FF8E6385E",
    "SRC-EA-001-URL-88187BB65566",
    "SRC-EA-001-URL-B62A5D4C8C44",
    "SRC-EA-001-URL-A20CDBBD2DFA",
    "SRC-EA-001-URL-47030BE82E7F",
    "SRC-EA-001-URL-4F373ED1C16F",
    "SRC-EA-001-URL-B085C7F1762B",
    "BODY-SHA256:b1eb110425f19a571fee4bb6e2618a904bc71a7177b3dd33b42f9d53507d977e"
  ],
  "article_sources": [
    {
      "id": "EVD-EA-001-URL-19AD79773D9C",
      "evidence_class": "RESEARCH",
      "title": "[S2] OpenAI Business data privacy, security, and compliance —",
      "href": "https://openai.com/business-data/",
      "supports": [],
      "limit": "元の監査済み資料に記載された参照先です。URLの復元は、資料の最新性や全主張の支持を新たに検証したことを意味しません。",
      "origin_class": "SOURCE_PACKET_REFERENCE",
      "source_or_experiment_ids": [
        "SRC-EA-001-URL-19AD79773D9C"
      ],
      "supporting_locators": [
        "EVIDENCE_TABLE",
        "S2",
        "[S2] OpenAI Business data privacy, security, and compliance — https://openai.com/business-data/"
      ],
      "scope": "EVIDENCE_TABLE",
      "provenance_status": "SOURCE_PACKET_REFERENCE_PROJECTED"
    },
    {
      "id": "EVD-EA-001-URL-1B3FF8E6385E",
      "evidence_class": "RESEARCH",
      "title": "[S3] OpenAI Enterprise privacy —",
      "href": "https://openai.com/enterprise-privacy/",
      "supports": [],
      "limit": "元の監査済み資料に記載された参照先です。URLの復元は、資料の最新性や全主張の支持を新たに検証したことを意味しません。",
      "origin_class": "SOURCE_PACKET_REFERENCE",
      "source_or_experiment_ids": [
        "SRC-EA-001-URL-1B3FF8E6385E"
      ],
      "supporting_locators": [
        "EVIDENCE_TABLE",
        "S3",
        "[S3] OpenAI Enterprise privacy — https://openai.com/enterprise-privacy/"
      ],
      "scope": "EVIDENCE_TABLE",
      "provenance_status": "SOURCE_PACKET_REFERENCE_PROJECTED"
    },
    {
      "id": "EVD-EA-001-URL-88187BB65566",
      "evidence_class": "RESEARCH",
      "title": "[S4] OpenAI ChatGPT Rate Card, credit-based Business/Enterprise/Edu —",
      "href": "https://help.openai.com/en/articles/11481834-chatgpt-rate-card-business-enterpriseedu-credit-based-pricing",
      "supports": [],
      "limit": "元の監査済み資料に記載された参照先です。URLの復元は、資料の最新性や全主張の支持を新たに検証したことを意味しません。",
      "origin_class": "SOURCE_PACKET_REFERENCE",
      "source_or_experiment_ids": [
        "SRC-EA-001-URL-88187BB65566"
      ],
      "supporting_locators": [
        "EVIDENCE_TABLE",
        "S4",
        "[S4] OpenAI ChatGPT Rate Card, credit-based Business/Enterprise/Edu — https://help.openai.com/en/articles/11481834-chatgpt-rate-card-business-enterpriseedu-credit-based-pricing"
      ],
      "scope": "EVIDENCE_TABLE",
      "provenance_status": "SOURCE_PACKET_REFERENCE_PROJECTED"
    },
    {
      "id": "EVD-EA-001-URL-B62A5D4C8C44",
      "evidence_class": "RESEARCH",
      "title": "[S5] OpenAI ChatGPT Rate Card, Enterprise token-based pricing —",
      "href": "https://help.openai.com/en/articles/20001415-chatgpt-rate-card-enterprise-token-based-pricing",
      "supports": [],
      "limit": "元の監査済み資料に記載された参照先です。URLの復元は、資料の最新性や全主張の支持を新たに検証したことを意味しません。",
      "origin_class": "SOURCE_PACKET_REFERENCE",
      "source_or_experiment_ids": [
        "SRC-EA-001-URL-B62A5D4C8C44"
      ],
      "supporting_locators": [
        "EVIDENCE_TABLE",
        "S5",
        "[S5] OpenAI ChatGPT Rate Card, Enterprise token-based pricing — https://help.openai.com/en/articles/20001415-chatgpt-rate-card-enterprise-token-based-pricing"
      ],
      "scope": "EVIDENCE_TABLE",
      "provenance_status": "SOURCE_PACKET_REFERENCE_PROJECTED"
    },
    {
      "id": "EVD-EA-001-URL-A20CDBBD2DFA",
      "evidence_class": "RESEARCH",
      "title": "Gemini in Chrome —",
      "href": "https://support.google.com/chrome/a/answer/17030282",
      "supports": [],
      "limit": "元の監査済み資料に記載された参照先です。URLの復元は、資料の最新性や全主張の支持を新たに検証したことを意味しません。",
      "origin_class": "SOURCE_PACKET_REFERENCE",
      "source_or_experiment_ids": [
        "SRC-EA-001-URL-A20CDBBD2DFA"
      ],
      "supporting_locators": [
        "EVIDENCE_TABLE",
        "- Gemini in Chrome — https://support.google.com/chrome/a/answer/17030282"
      ],
      "scope": "EVIDENCE_TABLE",
      "provenance_status": "SOURCE_PACKET_REFERENCE_PROJECTED"
    },
    {
      "id": "EVD-EA-001-URL-47030BE82E7F",
      "evidence_class": "RESEARCH",
      "title": "[S7] Microsoft Copilot Plans and Pricing—AI for Business —",
      "href": "https://www.microsoft.com/en-us/copilot/pricing/business",
      "supports": [],
      "limit": "元の監査済み資料に記載された参照先です。URLの復元は、資料の最新性や全主張の支持を新たに検証したことを意味しません。",
      "origin_class": "SOURCE_PACKET_REFERENCE",
      "source_or_experiment_ids": [
        "SRC-EA-001-URL-47030BE82E7F"
      ],
      "supporting_locators": [
        "EVIDENCE_TABLE",
        "S7",
        "[S7] Microsoft Copilot Plans and Pricing—AI for Business — https://www.microsoft.com/en-us/copilot/pricing/business"
      ],
      "scope": "EVIDENCE_TABLE",
      "provenance_status": "SOURCE_PACKET_REFERENCE_PROJECTED"
    },
    {
      "id": "EVD-EA-001-URL-4F373ED1C16F",
      "evidence_class": "RESEARCH",
      "title": "[S8] Anthropic Transparency Hub —",
      "href": "https://www.anthropic.com/transparency/voluntary-commitments/security%26privacy",
      "supports": [],
      "limit": "元の監査済み資料に記載された参照先です。URLの復元は、資料の最新性や全主張の支持を新たに検証したことを意味しません。",
      "origin_class": "SOURCE_PACKET_REFERENCE",
      "source_or_experiment_ids": [
        "SRC-EA-001-URL-4F373ED1C16F"
      ],
      "supporting_locators": [
        "EVIDENCE_TABLE",
        "S8",
        "[S8] Anthropic Transparency Hub — https://www.anthropic.com/transparency/voluntary-commitments/security%26privacy"
      ],
      "scope": "EVIDENCE_TABLE",
      "provenance_status": "SOURCE_PACKET_REFERENCE_PROJECTED"
    },
    {
      "id": "EVD-EA-001-URL-B085C7F1762B",
      "evidence_class": "RESEARCH",
      "title": "[S9] Anthropic Enterprise Frontier Safeguards —",
      "href": "https://www.anthropic.com/news/enterprise-frontier-safeguards",
      "supports": [],
      "limit": "元の監査済み資料に記載された参照先です。URLの復元は、資料の最新性や全主張の支持を新たに検証したことを意味しません。",
      "origin_class": "SOURCE_PACKET_REFERENCE",
      "source_or_experiment_ids": [
        "SRC-EA-001-URL-B085C7F1762B"
      ],
      "supporting_locators": [
        "EVIDENCE_TABLE",
        "S9",
        "[S9] Anthropic Enterprise Frontier Safeguards — https://www.anthropic.com/news/enterprise-frontier-safeguards"
      ],
      "scope": "EVIDENCE_TABLE",
      "provenance_status": "SOURCE_PACKET_REFERENCE_PROJECTED"
    },
    {
      "id": "EA-001-CURRENT-APPROVAL",
      "evidence_class": "RESEARCH",
      "title": "現行本文の監査・revision対応",
      "supports": [
        "現行台帳のAUDIT_PASSと候補・revision・本文ハッシュの対応を確認しています。"
      ],
      "limit": "監査状態と来歴の記録です。外部根拠の最新性や本文の全主張を追加保証しません。",
      "origin_class": "AUDITED_CANONICAL_RESEARCH_PACKET",
      "source_or_experiment_ids": [
        "V21-CANDIDATE-EA001-BASE-20261011-C2"
      ],
      "supporting_locators": [
        "1KqhJtiSb2S84rWmeYVwKcT_76dBwZ_B0ZZuAWQqH0rQ",
        "EA_REVISION_LEDGER!A383:U383",
        "EA-001-V21-LEGACY-MIGRATION-20261011-R1"
      ],
      "provenance_status": "CURRENT_CANONICAL_APPROVAL_READBACK"
    },
    {
      "id": "EA-001-CURRENT-BODY-READBACK",
      "evidence_class": "IMPL",
      "title": "現行本文の収録照合",
      "supports": [
        "公開生成入力の本文SHA-256が、監査済み候補に結び付いたハッシュと一致しています。"
      ],
      "limit": "本文の同一性の検査です。外部システムの挙動や全主張の真偽を実証したものではありません。",
      "checked_at": "2026-10-12",
      "origin_class": "IMPLEMENTATION_READBACK",
      "source_or_experiment_ids": [
        "BODY-SHA256:b1eb110425f19a571fee4bb6e2618a904bc71a7177b3dd33b42f9d53507d977e"
      ],
      "supporting_locators": [
        "content/staging/EA-001.md",
        "b1eb110425f19a571fee4bb6e2618a904bc71a7177b3dd33b42f9d53507d977e",
        "EA-001-V21-LEGACY-MIGRATION-20261011-R1"
      ],
      "provenance_status": "CURRENT_APPROVED_BODY_HASH_MATCH"
    }
  ],
  "research_sections": [
    {
      "heading": "WHY_THIS_MATTERS_TO_UPDATE",
      "text": "個人向けと法人向けAIの差は、モデル名や機能数だけでは決まらない。同一providerでもaccount/workspace/contract/modeによってtraining default、retention、管理権限、接続先認可、billing meter、地域・rollout、Work/agent等の可用性が変わる。比較表は単純な○×ではなく、control planeとavailability gateを分離する必要がある。"
    },
    {
      "heading": "SCOPE_ROUTING",
      "text": "Enterprise AI Core / provider mapping / organization overlay / governance / privacy / security / availability / cost / PRODUCT_VOLATILE"
    },
    {
      "heading": "CLAIM_OR_RESEARCH_QUESTION",
      "text": "Q1. DATA CONTROL / ADMIN CONTROL / AVAILABILITY GATE / BILLING METER / MODEを別軸で記録すべきか。\nQ2. 同一plan名でも契約、workspace permission、managed identity、region、rolloutで実効可用性が変わるか。\nQ3. provider横断で恒久化できる原則と、公開直前に再確認すべきvolatile列をどう分けるか。"
    },
    {
      "heading": "EVIDENCE_TABLE",
      "text": "[S1] canonical packet — COMM-001-EA0001 / Google Doc 1D4xqF6fTzW09KbwjcijAHds5R601ZGRi-BVWZuWoYwU / tab=t.0;index=1-10114 / base research as of 2026-09-11. Retreat inventory states the later 2026-09-25 rerun is duplicate/superseded and the original canonical packet remains authoritative.\n[S2] OpenAI Business data privacy, security, and compliance — https://openai.com/business-data/ — accessed 2026-10-11. Business/Enterprise/API organization data are not used for model training by default; this is distinct from retention.\n[S3] OpenAI Enterprise privacy — https://openai.com/enterprise-privacy/ — page update 2026-01-08; accessed 2026-10-11.\n[S4] OpenAI ChatGPT Rate Card, credit-based Business/Enterprise/Edu — https://help.openai.com/en/articles/11481834-chatgpt-rate-card-business-enterpriseedu-credit-based-pricing — accessed 2026-10-11. Credit-based pricing coexists with other billing arrangements and feature/model availability can depend on workspace/region conditions.\n[S5] OpenAI ChatGPT Rate Card, Enterprise token-based pricing — https://help.openai.com/en/articles/20001415-chatgpt-rate-card-enterprise-token-based-pricing — accessed 2026-10-11. Eligible USD-billed Enterprise agreements use token-based rates; contract determines applicability.\n[S6] Google Privacy and security - Gemini in Chrome — https://support.google.com/chrome/a/answer/17030282 — accessed 2026-10-11. Managed Google Account is a data-governance/availability boundary.\n[S7] Microsoft Copilot Plans and Pricing—AI for Business — https://www.microsoft.com/en-us/copilot/pricing/business — accessed 2026-10-11. Copilot entitlement is coupled to Microsoft 365 plan/work-data/identity surfaces rather than being model-only.\n[S8] Anthropic Transparency Hub — https://www.anthropic.com/transparency/voluntary-commitments/security%26privacy — accessed 2026-10-11. Enterprise controls include SSO, SCIM, audit logs and role-based permissions.\n[S9] Anthropic Enterprise Frontier Safeguards — https://www.anthropic.com/news/enterprise-frontier-safeguards — published 2026-09-01; accessed 2026-10-11. Retention/ZDR options are model/surface/eligibility/rollout dependent."
    },
    {
      "heading": "FINDINGS",
      "text": "1. ESTABLISHED: provider/plan比較はaudience/account type、training default、retention/delete、admin/identity、connected-app permission、advanced-mode availability、billing meter/usage limit、region/rollout、contract exceptionを分離する。\n2. ESTABLISHED: OpenAIではtraining defaultとretention/billingは別軸で、billing modelは契約依存となり得る。\n3. ESTABLISHED: Googleのmanaged identityはdata-use/protection条件を変えるため、consumer/managed accountをgateとして持つ。\n4. ESTABLISHED: Microsoft business AI entitlementはMicrosoft 365 plan/identity/work-dataと結びつく。\n5. ESTABLISHED: Anthropicでもenterprise controlsとretention/ZDR availabilityを別軸にする必要がある。\n6. INFERENCE: 安定した比較軸は本文/schemaへ置き、製品名・モデル名・価格・quota・rolloutはas-of付きの更新可能データへ分離する。"
    },
    {
      "heading": "LIMITS / COUNTEREVIDENCE / FAILURE_ENVELOPE",
      "text": "- product/model/price/quota/packaging/rolloutは高頻度で変わる。\n- 公開pricing/help pageは特定tenantの実効可用性を証明しない。契約、admin permission、identity、region、rollout、eligibilityを別確認する。\n- “not used for training by default” と “not retained” は同義ではない。\n- Business/Enterprise/Team等のplan名をprovider間で同格扱いしない。\n- Anthropic EFS/ZDRはphased/eligibility-dependentであり、全enterprise tenantへ一般化しない。\n- 本rescue unitではtenant live testを実施していない。"
    },
    {
      "heading": "AVAILABILITY_GATES",
      "text": "plan; account identity; managed vs consumer; workspace/tenant admin policy; contract billing model; model/feature enablement; connected-app permission; region/data residency; staged rollout; eligibility; retention configuration; product surface/mode."
    },
    {
      "heading": "IMPLEMENTATION_STATE",
      "text": "Candidate article only. No tenant configuration, entitlement test, billing simulation, connector action, Git write, deploy or publication."
    },
    {
      "heading": "BENCHMARK_OR_EVAL",
      "text": "Not applicable to model capability. Governance/availability crosswalkであり、能力benchmarkと分離する。"
    },
    {
      "heading": "SECURITY / PRIVACY / AUDIT / COST / OPERABILITY",
      "text": "Privacy: training default、service retention、deletion、ZDR/custom-retention eligibility、connected-app retentionを分離。\nSecurity/Admin: SSO/SCIM/RBAC/admin controlsとmanaged identityを機能名から分離。\nAudit: evidence-as-ofとplan/contract/workspace/observed tenantの証拠レベルを保持。\nCost: subscription/seatとcredits/tokens/task/message/contract rateを分離。\nOperability: rollout、region、admin permission、eligibilityを明示的gateとして記録。"
    },
    {
      "heading": "SAFE_WORDING_FOR_FUTURE_BOOK",
      "text": "「個人向けと法人向けAIの差は、使えるモデルや機能の数だけでは決まらない。データが学習に使われる既定値、保持・削除、管理者権限、接続先の認可、契約ごとの課金方式、管理対象ID、地域や段階的ロールアウトまでを分けて確認する。同じ製品名・同じモデル名でも、実際に使える能力やデータ境界はaccount、workspace、contract、mode、regionによって変わり得る。」"
    },
    {
      "heading": "OPEN_UNKNOWN",
      "text": "各providerの全plan/region/tenant feature/quota matrix; 個別Enterprise契約例外; public docsとtenant実効可用性差; Anthropic EFS個別eligibility/rollout; connected application側retention/permission差の全量。"
    },
    {
      "heading": "STOP_CONDITION",
      "text": "plan名・モデル名だけからdata handling、retention、availability、billing、admin controlを推定しない。公開直前にvolatile列を再確認し、tenant/contract固有事項を公開資料だけで断定しない。\n\nRESEARCH_GATE:\nPASS_FOR_BOUNDED_BASE_REVISION — exact topic、claim-level evidence、2026-10-11 currentness supplement、counterevidence、scope/provider/org/mode boundaries、failure envelope、OPEN_UNKNOWN、SAFE_WORDINGを確認。独立content audit verdictではない。\n\nCANDIDATE_IMPLEMENTATION_OVERLAY:"
    }
  ],
  "human_url": "/tools/ea-001-plan-organization-mode",
  "markdown_url": "/agent/article.md?path=%2Ftools%2Fea-001-plan-organization-mode",
  "json_url": "/agent/article.json?path=%2Ftools%2Fea-001-plan-organization-mode"
}