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Appraisal QC refers to quality control checks performed on an appraisal report to identify data inconsistencies, missing information, comparable selection issues, and valuation risks.

A quality appraisal is an assessment that meets regulatory standards, contains consistent and verifiable data, reflects appropriate comparable selection, and supports a credible value conclusion.

The four steps typically include setting expectations, assessing performance, reviewing findings, and providing feedback or required corrective actions.

A quality review is a detailed examination of the appraisal report to verify accuracy, ensure compliance, validate comparables, and confirm that the valuation is well-supported.

AI cannot independently complete a regulated appraisal, but it can assist by detecting inconsistencies, analyzing data, and improving the efficiency and accuracy of the review process.

It reduces valuation risk, ensures compliance, enhances accuracy, and helps lenders and AMCs maintain reliable underwriting decisions.

QC checks commonly detect data conflicts, photo mismatches, UAD errors, inconsistent adjustments, and questionable comparable selections.

QC is typically performed by underwriters, appraisal reviewers, AMCs, and post-closing audit teams.

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