apprAIz and Restb.ai launch AI workflow for UAD 3.6 appraisal reports

Aug. 12, 2026
By AI, Created 14:00 UTC, Aug 12, 2026, AGP -

apprAIz and Restb.ai unveiled a computer vision workflow designed to automate up to 90% of UAD 3.6 appraisal reports during property inspections. The tools aim to cut repetitive data entry, speed report completion and keep appraisers focused on analysis and judgment.

Why it matters: - The workflow is designed to reduce the time appraisers spend on manual data entry and report assembly. - The platform aims to help appraisers produce more consistent, better-supported reports while preserving independent judgment. - Automating up to 90% of UAD 3.6 report population could ease the transition to the new appraisal format.

What happened: - apprAIz and Restb.ai announced a new AI-powered appraisal workflow on August 12, 2026, in Dallas. - The platform uses Restb.ai computer vision to extract property details from photos during inspection. - The workflow provides real-time UAD 3.6 data insights on the ground. - apprAIz said the integration can populate up to 90% of the UAD 3.6 appraisal report.

The details: - apprAIz said the workflow reduces repetitive data entry, improves report consistency and helps appraisers complete reports more efficiently. - apprAIz founder and CEO Narainder Chandwani said the partnership will deliver UAD 3.6 education and real-time AI analysis for appraisers in the field. - apprAIz said the platform brings inspection, data collection, analysis, compliance and report preparation into one workflow. - apprAIz said it has completed GSE verification for UAD 3.6 and applies that readiness across field capture, data entry completion, validation, report generation and delivery preparation. - Restb.ai’s computer vision identifies property features, condition, quality and improvements from images. - Restb.ai said the resulting objective data helps appraisers make more consistent observations and reduces the potential for human error. - Restb.ai president of valuations Tony Pistilli said UAD 3.6 is a step toward a more structured, consistent and data-driven valuation process. - Restb.ai said its technology supports appraisers during mobile inspections while keeping professional judgment at the center of each appraisal. - The technology is designed to increase productivity without sacrificing appraiser independence. - Restb.ai said its automated image analysis helps document property characteristics consistently across the report and supports USPAP-compliant conclusions. - Restb.ai said its computer vision is used by lenders, appraisal technology providers, appraisal management companies and other real estate organizations. - Restb.ai, owned by Clear Capital, said it processes more than 2 billion property photos monthly and reaches more than 1 million real estate agents.

Between the lines: - The announcement points to a broader push to turn appraisal work into a more structured, image-driven process. - The key pitch is not replacing appraisers but shifting them toward judgment, analysis and credibility while software handles more of the data gathering. - The partnership also positions UAD 3.6 as a workflow change, not just a reporting change.

What's next: - apprAIz will continue rolling the UAD 3.6 workflow into day-to-day appraisal tasks. - Restb.ai and apprAIz will likely lean on the integration to speed adoption of UAD 3.6 in field inspections and report production. - The companies direct readers to apprAIz and Restb.ai for more information. - Restb.ai shared social links for LinkedIn, Instagram and X.

The bottom line: - The partnership aims to make UAD 3.6 faster to complete by automating much of the data work while keeping the appraiser in control of the final valuation.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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