How AI-pilled are you?

How AI-pilled are you?

Find out if your company is AI-fluent or just faking it with a 12-minute diagnostic.

The P9 AI Fluency Index is a free 9-question diagnostic that benchmarks your organization's AI fluency in about 12 minutes. It provides a score from 0-100, a tier (Unactivated to AI-Native), and actionable recommendations to improve. Grounded in frameworks from Zapier, Fin, Shopify, Ramp, and Jobber, it helps you move from merely using AI to transforming how you build, sell, and operate.

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How to use How AI-pilled are you??

Take the free diagnostic by answering nine plain-language questions about your company's AI usage. Each answer corresponds to a level 0-5, weighted and rolled into an overall score and tier. Receive a one-page report card with your score, a six-dimension breakdown, comparisons to public benchmarks, and three recommended moves to advance. No signup or email required.

How AI-pilled are you? 's Core Features

  • Quick 12-minute diagnostic with nine questions across six dimensions of AI fluency.
  • Provides a score from 0-100 and one of six tiers: Unactivated, Dabbler, Capable, Adoptive, Transformative, AI-Native.
  • Delivers a shareable report card with detailed breakdowns and comparison anchors.
  • Offers three clear, actionable recommendations to reach the next fluency level.
  • Grounded in proven frameworks from leading companies like Zapier, Fin, Shopify, Ramp, and Jobber.
  • How AI-pilled are you? 's Use Cases

  • A CTO wants to assess their team's AI maturity and identify skill gaps.
  • A CEO needs a benchmark to measure AI-driven productivity gains across departments.
  • An HR leader uses the index to screen and develop AI fluency in new hires.
  • A product manager evaluates how well their team integrates AI into product features.
  • A consultant uses the tool to advise clients on AI adoption strategies.
  • How AI-pilled are you? 's FAQ

    Most impacted jobs

    Chief Technology Officer
    Chief Executive Officer
    Human Resources Manager
    Product Manager
    Consultant
    Engineering Manager
    Data Analyst
    Innovation Lead
    Strategy Director
    Operations Manager

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