AI tools typically work from simplified inputs: injury severity, treatment length, and broad categories of losses. Those categories are real—but they don’t account for the local realities that commonly affect truck claims in and around Goodyear.
For example:
- Crash documentation gaps: If the incident occurred near a busy interchange or during a traffic shift, video footage may be overwritten quickly or be held by multiple entities.
- Medical causation disputes: Insurers frequently argue that symptoms were caused by something other than the collision—especially when there’s a delay between the crash and certain diagnoses.
- Contributing parties: In trucking cases, fault may involve more than one actor—driver conduct, company policies, maintenance choices, cargo handling, or third-party service providers.
An AI estimate might produce a range, but it can’t verify liability evidence, assess credibility, or predict how a particular insurer will challenge causation.


