AI Readiness Guide

10-Step Readiness Framework

1. Define the business problem: Identify what specific issue you are trying to solve.
2. Identify relevant data: Locate the specific information required to solve it.
3. Check data quality: Ensure the data is accurate and up-to-date.
4. Review access permissions: Understand who currently has access to the data.
5. Consider privacy: Evaluate any personal data compliance requirements.
6. Assess sensitive information: Prevent confidential data from entering public models.
7. Define human review: Establish protocols for humans to verify AI outputs.
8. Consider hallucination risk: Acknowledge that AI can generate false information.
9. Prioritise use cases: Start with low-risk, high-reward applications.
10. Plan a controlled pilot: Test on a small scale before organizational rollout.

Important: AI outputs should be reviewed before being relied upon for important business decisions.

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