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    πŸ€– 3. AI Readiness Score

    πŸ€– 3. AI Readiness Score

    by Martin Gunderman

    Evaluate company AI maturity across 6 dimensions with weighted scoring, radar charts, and a GDPR risk audit.

    Updated Jun 2026
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    Claude Code

    $7

    Β· or 35 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Conduct an AI maturity audit before starting expensive pilot projects.
    • Identify GDPR and compliance gaps in current data handling workflows.
    • terminal automation included
    • Ready for Claude Code
    • Instant install

    Sample input

    Assess our AI readiness. We have unstructured data in PDFs, some Azure cloud usage, no dedicated AI team, but a high willingness to experiment. Ready for a guided questionnaire.

    Sample output

    AI-READINESS REPORT: Sample GmbH OVERALL SCORE: 34/100 (Emerging)

    Dimension Scores: Data: 22/100 [Initial] Infra: 45/100 [Defined] Gov: 15/100 [Initial] !! RED FLAG !!

    Critical Gap: Governance (GDPR risk high). Quick-Win: Create an AI Ethics One-Pager (+15 pts).

    About This Skill

    Quantify Your AI Maturity

    The AI-Readiness-Score skill is a comprehensive diagnostic tool designed for developers, consultants, and stakeholders to assess how prepared an organization is to implement and scale AI. Instead of relying on vague prompts or surface-level advice, this skill uses a rigorous 6-dimension framework (Data, Infrastructure, People, Governance, Strategy, Culture) to provide a data-driven baseline.

    What it does

    • Structured Assessment: Executes a guided 18-question interview or processes JSON inputs to evaluate 6 key business areas.
    • Weighted Scoring: Calculates a weighted overall score (0-100) using a professional algorithm that prioritizes data quality and governance.
    • Gap Analysis & Strategic Roadmap: Generates a 12-month transformation plan, ranking weaknesses from P0 (Critical) to P3 (Long-term).
    • Compliance Guardrails: Includes a specialized GDPR/DSGVO risk analysis to identify legal bottlenecks before they become liabilities.
    • Actionable Output: Produces a structured report featuring ASCII radar charts, identified quick-wins, and industry benchmarks.

    Why use this skill?

    Prompting an AI for "AI strategy" often leads to generic hallucinations. This skill enforces a developer-centric logicβ€”calculating means, applying weightings, and identifying contradictory data points (e.g., high strategy score but zero budget). It transforms qualitative feedback into a quantitative roadmap, making it perfect for pre-project audits, executive offsites, or M&A due diligence.

    Use Cases

    • Conduct an AI maturity audit before starting expensive pilot projects.
    • Identify GDPR and compliance gaps in current data handling workflows.
    • Generate a 12-month strategic roadmap for digital transformation.
    • Benchmark AI capabilities against SME and Enterprise industry standards.

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    Permissions

    Terminal / Shell

    Claude Code, Hermes, Openclaw, Codex

    Frequently Asked Questions

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