GovernmentOperations

How New Mexico County Uses C3 AI to Boost Property Appraisal Accuracy by 50%

New Mexico's largest county by population deployed C3 AI Property Appraisal to modernize its commercial property valuation process. By unifying millions of data points and applying AI-based Automated Valuation Models, the county achieved a 50-percentage-point improvement in model accuracy and a 3x gain in appraisal equity — all within weeks of going live.

Outcomes

+50 percentage pointsImprovement in model accuracy
3xImprovement in appraisal equity
6xImprovement in appraisal efficiency
16 weeksTime from kickoff to production
6 weeksTime to scale to all 9 commercial property types
8+ millionData rows ingested
40,000Commercial properties in scope
3ML models configured
$14 billion+Total taxable property value overseen
280,000+Total parcels managed

Tools & Technologies

1CA
C3 AI Property Appraisal
AI-based automated valuation model by C3.ai for large-scale property appraisal using ML.
2CA
C3 AI Platform
Enterprise AI application development platform by C3.ai for building and scaling custom AI solutions.

AI Categories

Challenge

The county's appraisal process required appraisers to manually reconcile data from siloed systems while operating in a non-disclosure state where sales price data is scarce, making it especially difficult to produce accurate, consistent valuations for complex commercial properties.

Solution

The county deployed C3 AI Property Appraisal, which unified over 8 million rows of data from CAMA, GIS, and listing sources and applied AI-based Automated Valuation Models (AVMs) across commercial property types, going from project kickoff to production in 16 weeks.

Full Story

New Mexico's most populous county is responsible for identifying and valuing more than 280,000 parcels spanning urban commercial developments, rural agricultural land, and tribal areas — representing over $14 billion in taxable property value. Accurate, transparent, and defensible assessments are foundational to public trust and the funding of critical local services. Yet the county's existing appraisal process was struggling to keep pace with the scale and complexity of its mandate.

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