Most AI estimate tools ask for details like where the crash happened, what injuries you have, what treatment you received, and how long you expect recovery to take. Based on that information, the tool typically applies generalized patterns from past claims and broad legal concepts about damages.
What an AI tool cannot do is review the police report, evaluate witness reliability, examine how Vermont roadway conditions may have contributed, or read your medical records to confirm what your doctors actually concluded. Those are the elements that often move a claim from “guesswork” to “credible valuation.” In Vermont—where rural roads, seasonal weather, and variable traffic conditions can complicate crash narratives—those missing details can be especially important.
Even when the tool’s math appears convincing, it may not capture the difference between an injury that is improving and an injury that is still evolving. It also may not account for how insurance adjusters interpret inconsistencies, gaps in treatment, or differing accounts of what happened at the scene. That’s why your goal should be to use an AI estimate to understand components of a claim, then build the evidence a settlement requires.


