AI Use Case Development Checklist

Organization

Data Integration Support Center

Summary

As public agencies move from exploring artificial intelligence to implementing it, often the hardest first step is evaluating whether a specific use case is strategically sound, technically feasible, and responsibly governed. This checklist, developed by the Data Integration Support Center (DISC), provides a structured framework for that evaluation across 11 dimensions. It is a reference, not a pass/fail instrument: Not every item applies to every use case, and items outside a given context can be noted and set aside. These items are not all applicable in every specific use case, but instead give a comprehensive view of considerations, regardless of the tool or AI use case type. Use it to identify gaps, surface dependencies, and structure conversations across leadership, technical, and governance stakeholders.

For foundational guidance on defining AI use cases and assessing organizational readiness before working through this checklist, see DISC’s Establishing Clear Use Cases for GenAI in Integrated Data Systems and Assessing Organizational Readiness for AI.