com.airolloutframework由 airolloutframework.com 發布官方發布者v1.1.0更新於 Oct 24, 2026
90-day AI adoption framework for managers: overview, pricing, FAQ and an AI readiness assessment.
AI Capability Rollout Framework 的廠商知識庫伺服器，讓助理說明其 90 天 AI 導入方法、價格、常見問題與就緒度評分。
Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式，或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南，先向你展示發布者、端點和登入方式，經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/com.airolloutframework%2Fai-rollout-framework/install.md，並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前，先告訴我它的發布者、端點和登入方式，等我確認。不要把 API 金鑰寫進命令或我會提交的檔案；問我金鑰應從哪裡取得。把它新增到你客戶端的 mcpServers 設定中。
{
"mcpServers": {
"ai-rollout-framework": {
"type": "http",
"url": "https://airolloutframework.com/mcp"
}
}
}This folder is the machine-readable knowledge base for the AI Capability Rollout Framework, published by AI Rollout Framework at airolloutframework.com.
Signature line: Responsible AI adoption starts with capability, not technology.
The AI Capability Rollout Framework is a structured 90-day AI adoption system for managers and directors at small and mid-sized organizations — built for professionals responsible for workflows, teams, and outcomes, not for AI engineers. It moves an organization from scattered, ungoverned AI use to controlled, measurable capability.
Every file here is sourced directly from the live site — the same facts, figures, and definitions that appear on airolloutframework.com. Nothing in this folder is invented or generic filler.
Every file in this folder is also served at a matching URL on the live site:
This repository is the private source of truth that feeds the site's Netlify deploy. A public, automatically-synced mirror of this exact folder is maintained at github.com/airolloutframework/ai-rollout-framework-data for entity-authority and crawler visibility — the mirror is never edited directly; it is a downstream copy of what's here.
The Organization is described in JSON-LD on every page of the site. The canonical pattern (identical across all pages that carry Organization schema):
A machine-readable summary of the framework's offering, pricing, phases, and FAQ is also available as JSON: https://airolloutframework.com/api/framework
qa-dataset.json is a flat JSON array of every
{question, answer, source_url} already published in FAQPage schema
across the site, deduplicated. It is generated by
tools/build-qa-dataset.py directly from the live pages' own JSON-LD —
not hand-compiled — so re-running that script after any FAQ change keeps
it accurate automatically.
A public MCP server exposes 6 tools — framework overview, pricing, FAQ, the AI at Work course outline, knowledge-base search, and a real server-side AI Readiness Score assessment — callable with no authentication. See mcp-capabilities.md for the endpoint, protocol details, and real example calls.
來源：README.md，提交 92d92ae
Framework Overview
Returns the AI Capability Rollout Framework's three phases, four capability pillars, positioning, the recommended offer and the Discord community. Use it to explain what the framework is. It does not return prices or the FAQ. To check readiness, use assess_ai_readiness.
無需輸入參數。
Pricing
Returns current one-time prices and checkout links for the Framework + Executive Suite, the Framework alone, and AI at Work seats, including the seat tiers, co-branding and the Rollout Pack. Use it for the full price list, or get_seat_quote for a specific number of seats. It does not take payment. To check readiness, use assess_ai_readiness.
無需輸入參數。
FAQ
Returns published questions and answers, optionally filtered by topic. Use it for specific questions about pricing, governance, implementation or the products. It does not search the long-form guides; use search_knowledge_base for that. To check readiness, use assess_ai_readiness.
topicAI at Work Course
Returns the public outline of AI at Work, the employee AI training course: modules, what is included, seat tiers and the guarantee. Use it for questions about employee training. It does not return transcripts or quiz content. To check readiness, use assess_ai_readiness.
無需輸入參數。
Knowledge Base Search
Searches the framework's methodology, definitions, positioning and changelog for a phrase and returns matching sections with links to the source documents. Use it for a concept the other tools do not cover. It returns excerpts, not full documents. To check readiness, use assess_ai_readiness.
query必填AI Readiness Assessment
Runs the 16-question AI Readiness Score on the user's behalf (rate each statement 1-5, where 1 = Strongly Disagree and 5 = Strongly Agree) and returns their readiness stage, a recommended next step, and a link to the free full assessment on the site, which includes a personalized PDF. It returns no numeric score or breakdown. Ask the user the questions; do not guess answers.
q1必填q2必填q3必填q4必填q5必填q6必填q7必填q8必填q9必填q10必填q11必填q12必填另有 4 個Starter Kit Info
Describes the free AI Capability Briefing Kit, a 10-page internal briefing document, and how to get it. Use it when the user wants a free starting resource. It does not deliver the file; use email_me_the_kit when the user asks for it by email. To check readiness, use assess_ai_readiness.
無需輸入參數。
Seat Quote
Calculates the AI at Work cost for a given number of seats (1-500), with optional co-branding. It flags when a higher tier is cheaper in total and shows the Executive Suite and Rollout Pack alternatives. It does not take an order. To check readiness, use assess_ai_readiness.
seats必填coBrandingEmail Me the Kit
Emails the free Briefing Kit to an address the user gives you. Call only when the user has explicitly asked to receive it by email and agreed to be emailed. Never call it on your own and never invent or guess an address. It adds the address to a mailing list and sends the kit by email.
email必填consent必填已滿足適用檢查項的 100%
該評分衡量此收錄條目的完整程度，依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價，也不表示伺服器安全或目前可用：可連通性是帶日期的檢查結果，評分也不包含安裝量或使用者評價。
/docs/README.md → https://airolloutframework.com/docs/README.md/docs/framework-methodology.md → https://airolloutframework.com/docs/framework-methodology.md/docs/entity-definitions.md → https://airolloutframework.com/docs/entity-definitions.md/docs/author-organization.md → https://airolloutframework.com/docs/author-organization.md/docs/pricing-and-tiers.md → https://airolloutframework.com/docs/pricing-and-tiers.md/docs/faq-troubleshooting.md → https://airolloutframework.com/docs/faq-troubleshooting.md/docs/positioning-comparison.md → https://airolloutframework.com/docs/positioning-comparison.md/docs/CHANGELOG.md → https://airolloutframework.com/docs/CHANGELOG.md/docs/mcp-capabilities.md → https://airolloutframework.com/docs/mcp-capabilities.md/docs/qa-dataset.json → https://airolloutframework.com/docs/qa-dataset.json{ "@type": "Organization", "@id": "https://airolloutframework.com/#organization", "name": "AI Rollout Framework", "legalName": "AI Rollout Framework", "alternateName": "AI Capability Rollout Framework", "url": "https://airolloutframework.com/", "logo": "https://airolloutframework.com/android-chrome-512x512.png", "description": "Structured AI adoption resources for managers and directors at small and mid-sized organizations.", "foundingDate": "2006", "founder": [ {"@id": "https://airolloutframework.com/about#steve-buckner"}, {"@id": "https://airolloutframework.com/about#kate-buckner"} ], "contactPoint": { "@type": "ContactPoint", "email": "[email protected]", "contactType": "customer support" }, "sameAs": [ "https://www.producthunt.com/products/ai-rollout-framework", "https://www.crunchbase.com/organization/ai-rollout-framework", "https://www.linkedin.com/company/ai-rollout-framework", "https://www.indiehackers.com/AIRollout", "https://open.spotify.com/show/5Um4FuEcAKiIobGfQwXSMj", "https://podcasts.apple.com/us/podcast/the-ai-rollout-podcast/id1853884118", "https://www.saashub.com/ai-adoption-for-managers-and-directors-alternatives", "https://github.com/airolloutframework", "https://www.youtube.com/@AIRolloutFramework" ]}