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| title: Validation Readiness | |
| emoji: ✅ | |
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| sdk: static | |
| app_file: index.html | |
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| short_description: Assess AI validation readiness across key system layers. | |
| license: apache-2.0 | |
| # Validation Readiness | |
| A practical self-assessment for AI teams evaluating whether their validation process covers the most important technical, operational, and governance layers. | |
| ## What it covers | |
| - Intended use and requirements | |
| - Data validation | |
| - Model validation | |
| - Agent and tool-use validation | |
| - System and integration validation | |
| - Observability and production evidence | |
| - Regression and revalidation | |
| - Documentation and reproducibility | |
| - Human oversight and escalation | |
| - Validation ownership and release criteria | |
| The assessment produces a readiness score and highlights areas that may need stronger evidence before deployment. | |
| This is a self-assessment and **not a certification**. | |
| **Maintained by the Validation organization on Hugging Face.** | |
| Research & industry collaborations: **agenten@magenta.de** | |