“Demonstration of High AI Involvement (Score: D)”
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Welcome! This page displays how a hypothetical automotive company uses AI in different parts of its business. The data and visuals here are for demo purposes only—just to show how we can map AI usage onto interactive Notion blocks such as charts, mind maps, and more.
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Your automotive operations show a high reliance on AI across most departments, reflecting a tech-forward approach that significantly influences R&D, quality control, and customer service.
| Area | AI Usage | Key AI Tech | Human Oversight | Impact Score |
|---|---|---|---|---|
| 1. R&D | Heavy | Predictive modeling & generative design | Yes (final decisions) | 9/10 |
| 2. Supply Chain | Moderate | Demand forecasting, route optimization | Some (exception cases) | 7/10 |
| 3. Marketing | High | Recommendation engines, personalized campaigns | Yes (brand alignment) | 8/10 |
| 4. Operations | Moderate | Robotic process automation, scheduling | Yes | 6/10 |
| 5. Quality Control | Heavy | Computer vision for defect detection | Minimal (auto alerts) | 9/10 |
| 6. Customer Service | Low | Basic chatbots, FAQ automation | Yes (escalations) | 5/10 |
| 7. Analytics | High | Real-time sales dashboards, advanced ML | Yes (executive signoff) | 8/10 |
| 8. Maintenance | Moderate | Predictive maintenance, sensor data analysis | Yes (final confirmation) | 7/10 |
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Disclaimer: All data displayed here is purely illustrative and does not represent any real automotive company's operations. It's a glimpse into how you might structure your own AI usage dashboard in Notion, complete with charts, tables, and mind maps.
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