Floodplain managers repeatedly describe the same reality: FEMA maps in one browser tab, local GIS in another, paper and PDF permit files on the desk, and a constant struggle to explain complex rules to residents, developers, and officials. Building on our 2024–2025 qualitative study with ASFPM-member practitioners across eight states (including Gulf Coast representation), we translated those workflow insights into a fully implemented, AI‑enhanced floodplain management platform that is now ready for real‑world use and piloting.

The web‑based platform unifies core FPM tasks in a single interface: parcel‑level flood zone lookup with FEMA and state layers; automated permit pre‑screening that explains, in plain language, when floodplain review is likely required; guided digital permit intake; automated elevation certificate (EC) verification against mapped base flood elevations; jurisdiction‑aware regulatory Q&A chat; configurable public notices and “near‑me” alerts; and simple scenario viewing of potential flooding.

AI is used selectively, with human oversight, where it clearly adds value: multimodal large‑language‑model–driven regulatory guidance is constrained by a jurisdiction‑specific rules engine and citation system; document parsing supports EC checks but never replaces professional judgment; and all automation pathways preserve complete audit trails for NFIP and CRS documentation. The platform’s architecture explicitly supports state- and community‑specific ordinances, freeboard requirements, and mapping practices identified in our interview study as barriers to “one‑size‑fits‑all” tools.

This presentation will (1) briefly recap key interview findings; (2) demonstrate the working platform from both public and staff perspectives; (3) describe the underlying AI and rules architecture; and (4) discuss adoption pathways, governance, and how interested Gulf jurisdictions can participate in pilots and future enhancements.