How AI-pilled are you?

Curious how AI-fluent your organization is?

Artificial Intelligence

▲ 197 votes11 commentsLaunched May 9, 2026

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The P9 AI Fluency Index gives you an explainable grade in ~12 minutes, along with clear recommendations on how to reach the next level. Based on benchmarks from some of the most forward-thinking companies like Ramp, Fin, Shopify, Zapier and Jobber.

AI Analysis

📝 Summary

The P9 AI Fluency Index is a 12-minute online assessment that delivers an explainable AI fluency grade for organizations, along with tailored recommendations to advance to the next level. It draws on benchmarks from innovative companies including Ramp, Fin, Shopify, Zapier, and Jobber. Core features include rapid scoring, actionable insights, and clear benchmarking. It addresses key pain points such as uncertainty around AI adoption maturity and lack of practical guidance for improvement. The value proposition is providing organizations with a fast, transparent way to measure AI fluency and create a roadmap for stronger AI integration and competitive advantage.

📈 Market Timing

In 2025-2026, AI technologies are reaching high maturity with generative AI widely adopted, user demand shifting toward measurable fluency and practical integration, and economic pressures favoring efficient AI transformation. This product meets the urgent need for benchmarked self-assessment tools as companies move beyond experimentation. Policy support for digital innovation further aids adoption. It is an excellent window for such tools. Rating: Excellent Timing.

✅ Feasibility

Technical difficulty is low as it centers on a structured questionnaire, scoring algorithm, and recommendation engine that can leverage existing AI models. Development and operation costs are moderate for a web-based SaaS tool. Minimal supply chain risks; main considerations are data privacy compliance (e.g. GDPR). Strong scalability via cloud delivery and potential for team fit in AI/product experts. Overall rating: High. Key reasons: Proven assessment format, quick time-to-market, high scalability with low marginal costs.

🎯 Target Market

Main target segments: CTOs, Heads of AI, and leadership teams at mid-to-large tech-forward companies (50-1000 employees) in SaaS, fintech, e-commerce, and professional services. Geographic focus: North America and Europe. Estimated market size: TAM ~$2B (AI consulting/assessment market), SAM ~$300M (self-serve digital tools), SOM ~$30M (quick index solutions). Core pain points: Difficulty quantifying AI maturity and identifying specific improvement steps. Potential willingness to pay: Medium-high for valuable benchmarked insights, via subscription or report-based pricing.

⚔️ Competition

Competition level: Medium. Direct competitors: 1. Gartner AI Maturity Model (gartner.com), 2. McKinsey QuantumBlack AI Assessment (mckinsey.com), 3. BCG AI at Work Benchmark (bcg.com), 4. Coursera's AI Fluency for Business (coursera.org), 5. Scale AI's Enterprise Readiness Tool (scale.com). Advantages: Faster (12 min vs extensive audits), uses concrete benchmarks from named peers like Shopify/Zapier, highly actionable recommendations, accessible self-serve format. Disadvantages: Less brand recognition than consultancies, potentially shallower analysis compared to full consulting engagements.

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