AI tools typically generate a range by taking inputs like injury severity, time to treatment, and medical costs. That can be helpful for orientation.
In Minot, though, adjusters often push back on the same issues—because those issues show up frequently in real trucking cases here:
- Crash causation is disputed (especially when weather and visibility are factors)
- Injuries evolve over days (symptoms may not be obvious at the scene)
- Documentation gaps are used against you (delays in care, incomplete records, or missing follow-ups)
- Multiple parties may share blame (driver, carrier, maintenance, or loading)
An AI estimate can’t verify whether your medical treatment is consistently linked to the collision, or whether the other side will challenge causation.


