Real Estate · Property Management
WSE Developers
AI Tenant Support Automation
More than 140 Residential properties in deployment
The Challenge
Tenant support operations were dependent on manual phone calls. Staff spent most of their time handling repetitive issues and manually tracking tenant problems, which made the process difficult to scale as the number of properties grew.
01 / Context
Business Context
WSE Developers manages a growing portfolio of residential properties where tenant support historically relied on phone calls. As the portfolio expanded, support teams struggled with repetitive troubleshooting requests, manual issue logging, and technician coordination. Leadership required a scalable solution that could reduce operational pressure while maintaining service quality for tenants.
What had to change
- 01
High volume of tenant phone calls for similar issues
- 02
Manual logging and tracking of tenant problems
- 03
Repetitive troubleshooting conversations handled by staff
- 04
Lack of visibility into recurring tenant issues
- 05
Inconsistent support quality depending on who answered the call
02 / System design
From moving parts to one working system.
Each layer was designed to make the next decision faster, clearer and more reliable.
- 01
Tenant Verification
Verifies tenants using backend property records before troubleshooting.
- 02
AI Guided Troubleshooting
Guides tenants through step-by-step issue resolution.
- 03
Conversation Logging
Automatically logs and summarizes every interaction.
- 04
Issue Classification
Categorizes issues as resolved, pending, or critical.
- 05
Smart Escalation
Critical issues trigger alerts and escalation to property management.
04 / What we built
Our Solution
Automated issue logging and conversation summaries
Guided troubleshooting workflows for common household problems
Emergency escalation system for critical incidents
Operations dashboard for property managers
05 / Under the hood
Tech Stack
Tech Stack
- OpenAI LLM
- Python automation workflows
- Google Sheets tenant database
- SmartSheet backend integration
- Web-based tenant portal interface
06 / Measured impact
Results and Key Metrics
Results and Key Metrics
Roughly one hourSupport workload required for daily review
Tenant issues automatically logged and categorized
Standardized troubleshooting improved support consistency
Reduced operational pressure on support teams
Improved visibility into maintenance issues
Specific Outcomes
More than 140Residential properties in deployment
Significant reduction in repetitive tenant phone calls
Structured issue tracking introduced
Leadership gained visibility into operational bottlenecks
07 / Why it matters
Why This Project Matters
This project shows how AI can remove operational bottlenecks in property management without replacing human oversight. By automating repetitive tenant interactions and structuring issue tracking, WSE Developers transitioned from reactive phone-based support to a scalable operational system.
