Many AI tools build a number from generic inputs (age, diagnosis, relationship, and broad incident categories). In Goodlettsville, however, the outcome often hinges on specifics like:
- Timing and visibility (late evening lighting, glare, rain, wet roads)
- Lane changes and turns (whether a driver followed Tennessee traffic rules)
- Speed vs. conditions (including braking distance and skid evidence)
- Commercial involvement (deliveries, service vehicles, or employer-related operations)
- How the crash unfolded (intersection sequence, cross-traffic, pedestrian exposure)
When those facts are disputed, an AI “range” may have very little practical value. Adjusters typically care about whether liability can be supported with documentation and whether the story fits the physical evidence.


