
The Johnson City Fire Department in Tennessee has published a detailed account of how it is rolling out generative AI tools to streamline administrative work, from drafting staffing proposals to updating standard operating procedures and researching building and fire codes.([firerescue1.com](https://www.firerescue1.com/artificial-intelligence/ai-use-case-johnson-city-streamlines-administrative-and-code-research-workflows)) After initial disappointments with generic prompts, the department refined its approach by feeding AI richer context (e.g., budget numbers, staffing targets), enabling the tools to generate usable multi‑page proposals and presentation content in seconds. It now uses AI to review policies for inconsistencies, assist inspectors with rapid code lookups, and is testing AI-generated incident narratives while insisting human authors verify every report for legal accuracy. Looking ahead, leaders plan to apply AI to target hazard planning, threat and flood modeling, and other complex planning tasks, but emphasize “trust but verify” guardrails so automation augments rather than replaces professional judgment. For the broader public sector, the case offers a concrete playbook for moving AI beyond hype into day‑to‑day municipal operations while keeping ethics and accountability in view.



