AI Rollout Framework — Knowledge Base
MCP serverDev toolsGives your agent guidance on rolling out AI at work over 90 days, plus a readiness check for teams.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use AI Rollout Framework to get framework overview
About this server
90-day AI adoption framework for managers: overview, pricing, FAQ and an AI readiness assessment.
Install AI Rollout Framework — Knowledge Base
The server’s own address, for the clients that take one directly. Or connect ahel once and every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user ai-rollout-framework-knowledge-b 'https://airolloutframework.com/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://airolloutframework.com/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=ai-rollout-framework-knowledge-b&config=eyJ1cmwiOiJodHRwczovL2Fpcm9sbG91dGZyYW1ld29yay5jb20vbWNwIn0=Open the link and Cursor adds the server at that address.
ChatGPT
https://airolloutframework.com/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add ai-rollout-framework-knowledge-b --url 'https://airolloutframework.com/mcp'Run it once, then sign in with codex mcp login ai-rollout-framework-knowledge-b if the server asks for an account.
From the project's README
As published by airolloutframework/ai-rollout-framework-data in README.md.
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.
Where this content lives
Every file in this folder is also served at a matching URL on the live site:
/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
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.
Index of files
| File | What it covers |
|---|---|
| README.md | This file — overview and index |
| framework-methodology.md | The 90-day, three-phase structure and four capability pillars |
| entity-definitions.md | Glossary of ARF's proprietary terms (readiness score, capability-first, etc.) |
| author-organization.md | Steve Buckner's background and the organization's history |
| pricing-and-tiers.md | Current pricing and checkout destinations |
| faq-troubleshooting.md | Common implementation questions and governance edge cases |
| positioning-comparison.md | The mid-market / capability-first positioning, made explicit |
| CHANGELOG.md | Dated log of major site and content updates |
| mcp-capabilities.md | The public MCP server's real, tested tools — no auth required |
| qa-dataset.json | Structured Q&A dataset — every FAQPage entry live on the site, compiled and deduplicated |
Structured data
The Organization is described in JSON-LD on every page of the site. The canonical pattern (identical across all pages that carry Organization schema):
{
"@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": "info@airolloutframework.com",
"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"
]
}
Read-only JSON API
A machine-readable summary of the framework's offering, pricing, phases, and FAQ is also available as JSON: https://airolloutframework.com/api/framework
Structured Q&A dataset
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.
MCP server (agentic access)
A public MCP server exposes 5 tools — framework overview, pricing, FAQ, 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.
Contact
Tools it offers (5)
What this server listed when ahel dialed its public endpoint in Sep 2026, with no key and no account of yours. The names are the server’s own.
get_framework_overviewget_pricingget_faqsearch_knowledge_baseassess_ai_readiness
Signals
- Last commit
- Sep 2026
Advanced
- Delivery
- ai-rollout-framework MCP server → your ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
com-airolloutframework-ai-rollout-framework- Source
- github.com/airolloutframework/ai-rollout-framework-data
- Hosted endpoint
https://airolloutframework.com/mcp