Technology Must Preserve The Evidence
Artificial intelligence, supported by a broad national property database, could become an important part of the solution.
It can help compare property characteristics, sales history, comparable transactions, and market information across sources. Used appropriately, it can surface exceptions and focus human attention where professional judgment matters most.
But speed is not the same as evidence integrity.
If one source reports 1,900 square feet and another reports 2,400, an automated system should not silently select one figure because it appears more often or because an algorithm favors a particular database.
It should preserve both sources, identify what each measurement represents, and help establish whether the difference can be explained.
A large database is not, by itself, a guarantee of reliable evidence. Its value depends on source quality, update timing, coverage, and transparency about limitations.
Sometimes the evidence can be reconciled with confidence. Sometimes it cannot. Acknowledging unresolved uncertainty is more responsible than concealing it behind an automated conclusion.
Confidence Before Closing
For lenders, the opportunity is to move reconciliation earlier in the workflow — before material discrepancies become late-stage underwriting conditions or quality-control findings.
The objective is not to automate professional judgment. It is to ensure that judgment begins with clearer, better-documented evidence.
Appraisers remain essential to independent collateral valuation. Technology should strengthen the environment around their work, not replace their expertise with an unexplained algorithmic answer.
If home equity lending grows as I expect, the industry will need more than faster access to property data. It will need a better way to determine what that data means when the evidence doesn’t agree.
The most expensive appraisal problem may not be an incorrect valuation. It may be uncertainty that nobody resolved soon enough.