ai-adoption-playbook

AI Adoption Playbook

From "we're exploring AI" to board-ready results.

A skills framework for leaders responsible for AI adoption — founders, CTOs, CAIOs, VPs of Engineering, COOs, or anyone who needs to show the board that AI investment is producing results.

The Problem

Leadership asks "what's your AI strategy?" You bought tool licenses. You told the team to use them. Nothing happened. Next board meeting, you say "we're exploring AI." The board is unimpressed. Repeat.

This playbook breaks that loop with a structured process: diagnose what's stuck, build a plan with owners and milestones, and produce board-ready updates with real numbers.

Quick Start

1. Clone this repo
2. Open it in Claude Code
3. Say: "My board is asking about our AI strategy"

The playbook will run a fluency assessment, diagnose your blockers, and guide you to the right next step.

Skills

Component Skills

Skill	What it produces
adoption-scorecard	Snapshot of who uses what AI tools, how often, how well
board-ai-update	Board-ready narrative with specific numbers
tool-stack-audit	What you pay for vs. what gets used
roi-calculator	Quantified impact in terms your board cares about

Interactive Skills

Skill	What it does
fluency-assessment	Entry point — scores your team across three pillars
blocker-diagnosis	Deep dive into what's stuck and why
first-use-case-picker	Finds the right starting point for maximum visible wins
90-day-plan-builder	Phased rollout with board-cycle milestones
board-narrative-coach	Practice with a skeptical VC, then draft the update

Workflow Skills

Skill	What it orchestrates
full-adoption-cycle	Assessment -> diagnosis -> use case -> plan -> narrative
quarterly-review	Re-assess, compare to last quarter, generate board update

How It Works

Every AI adoption failure maps to one of three pillars:

1. Psychological barriers — fear, identity threat, "I don't need it"
2. Integration failures — tools don't fit workflows, wrong use cases, too much friction
3. Ownership gaps — nobody owns it, no metrics, no accountability

The playbook diagnoses which pillars are blocking you, then guides you through fixing them in an order that produces board-reportable results.

Installation

Requires Claude Code.

Install as a plugin from GitHub:

/plugin marketplace add adimango/ai-adoption-playbook
/plugin install ai-adoption-playbook@ai-adoption-playbook

Or clone and use directly:

git clone https://github.com/adimango/ai-adoption-playbook.git
cd ai-adoption-playbook

Once installed, say "My board is asking about our AI strategy" and the playbook takes over.

Test locally during development:

claude --plugin-dir ./ai-adoption-playbook

Skills are namespaced as /ai-adoption-playbook:skill-name (e.g., /ai-adoption-playbook:fluency-assessment).

Future: MCP server packaging for use with Claude Desktop, Cursor, and other MCP-compatible clients.

License

MIT