Key Takeaways
- The greatest ROI from AI comes from automating complete workflows—not individual tasks.
- GVA automated leasing, collections, maintenance, and renewals across its portfolio.
- The operational redesign resulted in a 20% reduction in payroll costs through attrition and redeployment, not layoffs.
- AI enabled faster response times, more leasing activity, better maintenance diagnostics, and allowed onsite teams to focus on higher-value resident interactions.
Article Summary
Many property management companies have adopted AI, but few have fundamentally changed how their businesses operate. Most implementations focus on isolated tasks such as writing emails or property descriptions, producing only incremental efficiency gains.
GVA took a different approach by redesigning entire operational workflows around AI. Instead of asking where artificial intelligence could assist individual employees, the company evaluated every step within its leasing, collections, maintenance, and renewal processes to determine which activities truly required human involvement.
The results extended beyond time savings. AI helped increase leasing activity by responding to prospects around the clock, improved maintenance accuracy by gathering diagnostic information before dispatching technicians, and automated routine resident communications throughout the customer lifecycle. Rather than reducing staff through layoffs, GVA used natural turnover to reshape its workforce, allowing remaining team members to focus on resident relationships, leasing, and community engagement.
The experience demonstrates that AI delivers its greatest value when organizations rethink entire operating models rather than simply adding new technology to existing processes.
GVA Perspective
At GVA, AI is not viewed as a software purchase—it’s an operational strategy. We believe the future of property management belongs to organizations that redesign workflows around technology while empowering people to focus on the work that creates the greatest value. By combining automation with human expertise, operators can improve service, increase efficiency, and build a more scalable business for the future.