Automating Municipal Planning in the City of Riviera Beach

Case Study Description: The City of Riviera Beach, Florida faced a challenge common to growing municipalities: planning staff were spending the majority of their day answering routine zoning inquiries instead of focusing on high-value work like large-scale site plan reviews and strategic urban planning. Senior Planner Juan Suarez was fielding 10+ walk-in and phone inquiries every week — each requiring manual cross-referencing of GIS maps, PDF zoning codes, and Future Land Use maps. Questions like "What is my property zoned for?" or "Can I open a gym at this address?" sound simple but consumed up to 75% of staff time daily. Conflation Labs deployed a customized AI Site Plan and Zoning Agent that connected the city's authoritative data sources — including ArcGIS parcel layers, Chapter 31 Zoning Codes, and the Comprehensive Plan — into a single conversational interface. The AI agent enables planning staff to ask complex zoning questions in plain English and receive instant, map-based answers. It also performs automated site plan review, flagging code violations such as parking dimension errors and landscape buffer issues by reading submitted plans directly against municipal regulations. The result: a 75% reduction in routine inquiry time and 20 hours per week returned to planning staff — time now spent on strategic, high-value work that moves the city forward.
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Conflation Labs
Conflation Labs is an AI site plan review agent for AEC firms. It reads your submitted drawings against local zoning codes, setback requirements, and municipal standards — flagging compliance issues before they reach the planning department. Faster reviews. Fewer rejections. Less back-and-forth.
User Experience
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The City of Riviera Beach chose Conflation Labs because existing tools could not bridge the gap between authoritative municipal data and the speed of citizen and developer inquiries. Planning staff were caught in a daily cycle of manually opening GIS portals, parsing dense zoning code PDFs, and cross-referencing Future Land Use maps to answer questions that, while routine, required careful and accurate interpretation. Generic chatbots or simple search tools could not be trusted to interpret jurisdiction-specific codes accurately — the risk of giving wrong zoning information to a resident or developer was too high. Conflation Labs solved this by connecting directly to Riviera Beach's own authoritative data sources — ArcGIS parcel layers, Chapter 31 Zoning Codes, and the city's Comprehensive Plan — ensuring the AI never produces hallucinated or generic answers. Every response is grounded in the city's actual, current data. The natural language interface meant planning staff needed no technical training. They could ask questions the same way they would ask a colleague — and get a map-based, defensible answer in seconds. The automated site plan review feature added a second layer of value: instead of manually checking submitted drawings against municipal standards, the AI agent flags violations instantly — giving planners more time for the complex, judgment-intensive work that only experienced humans can do.
- Routine zoning inquiries consuming 75% of planning staff's daily time - Manual cross-referencing of GIS maps, zoning PDFs, and FLU maps for every question - No reliable way to give residents instant, accurate zoning answers - High risk of errors when interpreting complex, jurisdiction-specific codes manually - Planning staff bottlenecked on low-complexity tasks, unable to focus on strategic work - Site plan violations not caught until late in the review process, causing delays
Planning staff manually opened GIS portals, cross-referenced PDF zoning codes, and verified Future Land Use maps for every routine inquiry. Each question took 20–45 minutes of staff time. With 10+ inquiries per week, this consumed up to 75% of the planning department's daily capacity — leaving little time for high-value work like site plan reviews and strategic urban design projects.
The deployment of Conflation Labs' AI Site Plan and Zoning Agent delivered measurable, immediate impact for the City of Riviera Beach's Planning and Zoning Department. TIME SAVINGS: Routine inquiry response time dropped by 75%. What previously required 20–45 minutes of manual research per question — opening GIS portals, parsing zoning PDFs, cross-referencing use tables — now takes seconds. Across 10+ weekly inquiries, this returned approximately 20 hours per week to planning staff. STAFF CAPACITY: Senior planners previously trapped in a repetitive inquiry cycle are now free to focus on large-scale site plan reviews, strategic urban design projects, and community engagement — the high-value work that drives the city forward and requires human expertise and judgment. SITE PLAN REVIEW EFFICIENCY: The automated site plan review agent flags code violations — including parking dimension errors and landscape buffer non-compliance — at the point of intake rather than after weeks of manual review. This reduces back-and-forth between applicants and the planning department, shortening overall permitting timelines. ACCURACY & TRUST: Because the AI is connected directly to Riviera Beach's authoritative data — not a generic national database — planning staff trust the outputs and can use them confidently in conversations with residents, developers, and business owners. The result is a planning department that delivers faster service, makes fewer errors, and operates at a higher strategic level — without adding headcount.
"Before Conflation Labs, answering a simple zoning question meant opening three different systems and spending the better part of an hour. Now our team gets accurate, map-based answers in seconds — and we're finally spending time on the work that actually moves the city forward." — Juan Suarez, Senior Planner, City of Riviera Beach
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