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AI Readiness Assessment

Evaluate your organization across data, technology, and culture dimensions

Progress 0%

📊 Data Readiness

Infrastructure & quality assessment

1/3

1 Data quality assessment

🟢 Excellent - Clean & documented 🟡 Good - Minor inconsistencies 🟠 Fair - Significant issues 🔴 Poor - Major problems

2 Data integration status

🏢 Unified data warehouse 🔗 Mostly integrated 📊 Some silos exist 🚧 Fragmented systems

3 Data governance framework

🛡️ Comprehensive policies 📋 Good but inconsistent 📝 Basic policies only ❌ No framework

⚙️ Technology Readiness

Infrastructure & capabilities

2/3

4 Cloud infrastructure status

☁️ Fully cloud-native 🔄 Hybrid cloud setup 🏢 Limited cloud adoption 🗄️ Legacy on-premise

5 ML/Analytics capabilities

🤖 Advanced ML in production 📈 Some ML projects 📊 Basic analytics only 📉 Limited capabilities

6 API & integration capabilities

🔗 Microservices architecture 🔧 Good API coverage 📡 Limited APIs ⚠️ Minimal integration

👥 Culture & Organization

Organizational readiness

3/3

7 Leadership support for AI

💼 Strong executive backing 👍 Generally supportive 🤔 Moderate interest 😐 Minimal support

8 AI/Data science expertise

🧠 Dedicated AI team 📚 Growing capabilities 🤝 External consultants ❓ No AI expertise

9 Change adaptability

🚀 Highly adaptable ✅ Generally adaptable ⚠️ Some resistance 🛑 Rigid processes

🎯 Your AI Readiness Results

Based on your assessment, here's where your organization stands

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Data

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Tech

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Culture

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