An automated valuation model estimates a property's market price along with a confidence score. Auto-approve every valuation above a low confidence bar, and appraisers save enormous review time — but some low-confidence valuations slip through wrong, and a mispriced listing reaches the market.
The AI Real Estate Valuation Lab models 400 property valuations. Raising the auto-approval confidence threshold sends more listings to a human appraiser for review, cutting mispricing risk at the cost of appraiser hours.
Unusual properties — odd layouts, thin comparable sales data — are exactly where an AVM's confidence tends to drop, which is precisely why a threshold-based routing policy, rather than a flat automation rate, tends to work better in practice.
🧪 Try it yourself: the AI Real Estate Valuation Lab simulation lets you move the auto-approval confidence threshold and watch the batch outcome update live.
🧪 Try it yourself: the AI Real Estate Valuation Lab simulation lets you experiment with everything described above directly in your browser.