AI Rollout Framework

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.

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

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 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.

Contact

info@airolloutframework.com · airolloutframework.com