1. Evaluating AI outputs

1. Assessing operational accuracy 2. Validating feasibility 3. Detecting oversimplifications

2. Improving AI reasoning

1. Refining transformation logic 2. Aligning outputs with real-world constraints 3. Enhancing practical applicability

3. Bridging AI and reality

Ensuring AI-generated content reflects how organizations actually function