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ai-rollout-framework-data

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Public knowledge base for the AI Rollout Framework (airolloutframework.com) - methodology, definitions, pricing, and FAQ, synced from the source site.

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Last scanned: 10/1/2026
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Method: Clone
Terminal
git clone https://github.com/airolloutframework/ai-rollout-framework-data
1. Clone the repository.
2. Follow the README for installation and usage instructions.
Casos de uso

Resumen de Tools

# AI Rollout Framework — Knowledge Base

This folder is the machine-readable knowledge base for the **AI Capability
Rollout Framework**, published by AI Rollout Framework at
[airolloutframework.com](https://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](https://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](README.md) | This file — overview and index |
| [framework-methodology.md](framework-methodology.md) | The 90-day, three-phase structure and four capability pillars |
| [entity-definitions.md](entity-definitions.md) | Glossary of ARF's proprietary terms (readiness score, capability-first, etc.) |
| [author-organization.md](author-organization.md) | Steve Buckner's background and the organization's history |
| [pricing-and-tiers.md](pricing-and-tiers.md) | Current pricing and checkout destinations |
| [faq-troubleshooting.md](faq-troubleshooting.md) | Common implementation questions and governance edge cases |
| [positioning-comparison.md](positioning-comparison.md) | The mid-market / capability-first positioning, made explicit |
| [CHANGELOG.md](CHANGELOG.md) | Dated log of major site and content updates |
| [mcp-capabilities.md](mcp-capabilities.md) | The public MCP server's real, tested tools — no auth required |
| [qa-dataset.json](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):

```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": "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](https://airolloutframework.com/api/framework)

## Structured Q&A dataset

[qa-dataset.json](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](mcp-capabilities.md) for the endpoint, protocol
details, and real example calls.

## Contact

info@airolloutframework.com · [airolloutframework.com](https://airolloutframework.com)
aiai-adoptionai-governanceai-governance-frameworkai-strategycoursedocumentationenterprise-aiknowledge-baseknowledge-based-aillm-citationsllms-txtmarkdown

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airolloutframework/ai-rollout-framework-data es tools para el ecosistema de Claude AI. Public knowledge base for the AI Rollout Framework (airolloutframework.com) - methodology, definitions, pricing, and FAQ, synced from the source site. Tiene 0 estrellas en GitHub y su última actualización registrada es del 2026-09-30.

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