AI-First Property Inspections: Automating Real Estate Reports for Faster, Smarter Decisions
Challenge
The real estate firm’s property inspection process was highly manual. Reviewing inspection reports, identifying issues, and determining maintenance responsibility (tenant vs. owner) required significant time and staff resources. The company needed a way to automate this process while maintaining accuracy and context across hundreds of properties and lease structures.
Approach
Using the Managed AI Services (MAIS) approach, FLS introduced a Proof of Concept (PoC) built around custom enterprise ChatGPT—a conversational AI solution integrated with lease data and inspection records. The PoC leveraged pre-indexed lease abstracts and API connectors to analyze inspection data, extract issues, and determine accountability.
Solution
The PoC application allows users to upload property inspection assessments and automatically receive a structured summary identifying:
- Issues noted in fair or poor condition, with linked photos.
- Corresponding lease references identifying whether the tenant or owner is responsible for each repair.
- A formatted HTML report summarizing findings.
How it works:
- Accesses the secure, custom ChatGPT Enterprise instance.
- Uploads the inspection report (HTML or PDF).
- The AI analyzes and cross-references the report with pre-indexed lease abstracts.
- A property inspection summary is generated automatically.
Key Benefits
- Reduced manual processing time from hours to minutes
- Clear, structured accountability reporting for repairs
- Early proof of how conversational AI can automate complex document analysis
- Significant cost savings achieved through a one-week prototype
November 2025