AI Rollout Readiness Checklist

    1

    A structured audit to identify governance, context, and security gaps before rolling out AI to a team.

    Free

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    AI Rollout Readiness Checklist

    Example session with this skill installed

    We are about to roll out Claude to 50 people in our marketing and sales teams. We have a basic AI policy but haven't connected any tools yet. Audit our readiness.

    • Read your context and instructions
    • Compiled the ai rollout readiness
    • Generated the document

    I have conducted a readiness audit for your 50-person rollout. While you have a policy foundation, there are critical gaps in context and sequencing that will likely lead to generic output and high friction if not addressed immediately.

    AI Rollout Readiness Audit

    AreaStatusCritical Findings
    1. Governance⚠️ PartialPolicy exists, but human-in-the-loop gates for external marketing emails and CRM updates are not yet defined.
    2. Access✅ ReadySeats are counted by name; SSO domain capture is confirmed with IT.
    3. Context❌ FailingNo centralized company context doc or voice guidelines. The AI will produce generic "LLM-style" copy instead of your brand voice.
    4. Sequencing❌ FailingNo connection order defined. Risk of connecting file storage or finance systems before the CRM "burn-in" is complete.
    5. Adoption⚠️ Partial30-day check-in is scheduled, but specific "first-win" tasks for the Sales team (e.g., lead scoring) are not defined.

    Fix-First List (Priority Order)

    Define Human Gates: Formally document which marketing actions require an owner's sign-off before being sent to customers.
    2.

    Build the Context Layer: Create a one-page "Company Truth" document (who you sell to, words you never use, core value props) to prevent generic outputs.
    3.

    Sequence the CRM: Connect your CRM first in read-only mode. Observe for 5 business days before granting write access or connecting email/calendars.
    4.

    Identify First-Wins: Pick one high-friction task for Sales (e.g., call transcript summarization) to run live in the first training session.

    Next steps

    • Draft the one-page Company Context document using your existing brand guidelines.
    • Appoint a single "Workspace Owner" to manage connector permissions.
    • Schedule the CRM connection as a "Watch-Only" trial for next Monday.

    ai-rollout-readiness-checklist.pdf

    PDF · document

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The problem

    Most AI rollouts stall because teams connect data before setting rules or buy seats before defining company context. Moving too fast creates security risks, generic outputs, and low adoption rates that burn through budget without delivering value.

    What it does

    • Performs a structured audit across five critical readiness areas: Governance, Access, Workspace Context, Connector Sequencing, and Adoption Mechanics.
    • Identifies specific gaps in data-handling policies and human-in-the-loop requirements.
    • Evaluates the maturity of your internal documentation and brand voice assets needed for high-quality LLM outputs.
    • Prescribes a deliberate sequence for connecting systems (CRM, email, files, finance) to minimize data exposure risks.
    • Generates a prioritized "fix-first" list based on identified failures.

    Why this beats prompting it yourself

    Generic prompts often miss the physical and operational hurdles of enterprise rollouts, like SSO domain capture or connector burn-in periods. This skill enforces a proven sequence—rules before tools—that prevents the common "horror stories" of unauthorized data access or stale workspace context.

    Use cases

    • Preparing a department for a Claude for Work or ChatGPT Enterprise deployment.
    • Auditing an existing, messy AI workspace to regain control over governance and data.
    • Creating a pre-flight checklist for IT and Ops teams before authorizing third-party AI connectors.

    Known limitations

    This is a strategic readiness audit, not a technical implementation tool. It does not physically configure SSO, API keys, or workspace settings.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

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