Put Agentic AI to Work on South Florida's Stormwater Handoffs
By , Principal Technical Lead, aidefi
When a street floods, a resident's photograph, maintenance history, and drainage responsibility may sit with different organizations. Agentic AI could help staff connect those records and prepare the next action.
Connect reports with responsibility
The South Florida Water Management District describes flood control as a shared responsibility across regional infrastructure, local agencies, drainage districts, and residents. An agent could organize incoming reports, suggest duplicates, and recommend the responsible operator for staff review.
For several complaints about one intersection, it could assemble inspection notes and open work orders into a brief showing original sources, record dates, and missing information. DBHYDRO observations could add context, provided staff verify the location, timing, units, and relevance.
Keep people in control
Begin with intake and maintenance coordination. Pump operation, emergency warnings, and hydraulic design require established professional processes. Public data and a language model do not create a validated flood forecast.
Flag uncertain locations and stale readings. Preserve residents' reports and existing phone and language access. Staff should be able to correct recommendations or stop automation.
Prove the value
Pilot one service area. Measure routing errors, correction time, unresolved requests, and response speed. Before purchase, define access, retention, recurring costs, an accountable owner, and an exit plan.
The goal is fewer lost requests and clearer ownership. AI cannot add drainage capacity, but a carefully tested workflow could help staff coordinate the work.
A nearby gauge may provide context without accurately representing water conditions on the specific street being reported.
Disclosure: aidefi offers AI consulting. This is a proposed pilot, not a report of deployment results.