By David M. Barnett, MAI, SRA
GAR Associates CEO, Partner
The second in a series of blogs analyzing how artificial intelligence is impacting property assessments.
Assessment offices have always managed large datasets: parcel characteristics, sales, permits, exemptions, GIS layers, and tax roll history. What is changing is how actively those datasets are monitored and analyzed. AI-enabled platforms now support:
- Permit-to-roll reconciliation alerts
- Change detection using updated imagery feeds
- Automated flagging of inconsistent property attributes
- Pattern analysis across neighborhoods or property classes
- Forecasting tools tied to valuation and levy projections
Instead of relying solely on periodic review cycles, offices can now monitor data conditions continuously. This shift from static record-keeping to dynamic data intelligence improves both equity and operational efficiency. It allows staff to focus attention where measurable risk or variance exists, rather than applying a manual review across all parcels.
Embedded Analytics for Oversight and Equity
One of the most practical AI applications in assessment today is equity monitoring. Integrated analytics dashboards allow offices to track valuation performance by neighborhood, property class, and value range while identifying assessment drift between revaluation cycles.
More advanced systems can surface emerging disparities before they become systemic and model the impact of market shifts or policy changes. By continuously monitoring ratio performance and value trends, offices move from reactive appeal management to proactive equity governance.
These tools help offices proactively manage fairness rather than reacting to appeal outcomes after the fact. Importantly, when analytics are built directly into the assessment platform, transparency improves. Supervisors can trace valuation drivers, review statistical outputs, and document decision pathways — strengthening defensibility during board review or litigation
