System & Data Readiness

🚨 The "Rubbish In, Rubbish Out" Simulator

Data is your competitive advantage — but only if you move from Bronze (Unstructured & Unlinked) to Gold (Structured & Linked).

Poor data quality doesn't just produce bad AI outcomes. It can lead to bias, legal liability, and massive opportunity cost. Modern AI can help structure your data, but it requires foundational context. This simulator helps you identify what could go wrong with your AI project before you build it.

⚠️ Real-World Warning: The Biased Recruitment AI

A recruitment firm built an AI trained on historical CV data to automate candidate screening. The data reflected past hiring biases (gender and ethnicity imbalances). Without proper data auditing, the AI perpetuated discriminatory hiring practices, causing legal challenges and reputational harm.

The lesson: Data does not inherently represent truth. It must be assessed for governance, readiness, and relevance.

Describe Your AI Project

1. What AI use case are you planning?

2. Where does your data come from?

3. What data quality or governance issues do you know about?

4. Where does your data currently live?

✨ Open Gemini

What to Expect from the Analysis

The AI will assess your data readiness, helping you move from Bronze to Gold standard:

Governance: Security (access control), Quality (ownership), Compliance (GDPR, HIPAA, etc.)
Readiness: Current state (Bronze/Silver/Gold), platform maturity, AI structuring opportunities
Relevance: Currency, bias, alignment with your use case

You'll receive a risk analysis, opportunity cost assessment, and specific mitigation steps to reach Gold standard data.