One Engine, Two Experiences
I began with mapping distinct pain points for both user personas, homeowners and HOA staff. The same process fails both sides differently: homeowners are left in the dark, while staff are buried in manual, inconsistent work. The AI had to serve both, in distinct ways.
The AI Architectural Review Engine sits at the center of the workflow — serving homeowners and staff simultaneously but differently. Homeowners get a guided submission experience designed to maximize their chance of approval. Staff get a structured compliance analysis they can validate and act on immediately. One system, two front-ends, one shared goal — replacing friction with clarity.
AI Submission Assistant for Homeowners
The homeowner experience is a 4-step guided intake flow: They describes their modification in their own words — the AI classifies the request category, surfaces relevant requirements, and populates conditional form fields specific to that request type.
A documentation gate ensure required uploads are in place before submission.
Before the homeowner clicks submit, the Submission Assistant evaluates the request and returns a readiness review: qualitative, guideline-grounded feedback on completeness and what's needed to strengthen the request.
The guidance is specific and actionable — designed to maximize the homeowner's chance of approval without implying the outcome.
The Compliance Engine
On submission, the engine runs a RAG pipeline against the community's design guidelines knowledge base.
The engine returns one of six evaluation states that covers different levels of compliance as well as alternate scenarios such as insufficient data or guideline gaps.
The staff reviews and validates AI evaluation. Staff is empowered to directly approve "high confidence" request, which will greatly reduce approval cycle time.
The Completeness Check and Guideline Analysis provide clear evaluation output and guideline citations to support consistent decisioning at board reviews.
Responsible AI, Embedded Not Bolted On
GoodFences operates in a domain where AI-assisted decisions directly affect homeowners' property rights and HOA legal liability. Responsible AI wasn't treated as a compliance exercise — it shaped every architectural decision in this build. The five pillars of responsible AI were applied and prioritized for the governance context from day one.
Fairness & Inclusion
IThe AI evaluates request content only, never the submitter. Compliance scoring is identity-blind by architecture.
Transparency & Control
Every AI output cites a specific guideline clause. A three-layered model governs what's shown and to whom.
Accountability & Governance
Staff can override any recommendation. The board makes every final decision.
Privacy & Security
PII stripped before inference. Zero-retention LLM tier required. Audit data owned by the HOA.
Robustness & Safety
Golden-set QA before launch. Protected categories hard-route to human review, no exceptions.
Case Study: AI Product Design + Build