AI tools typically ask for basic information and then output a “range.” That can feel useful, but it often misses the factors that matter most in real Owosso cases—particularly when responsibility is contested.
Common ways AI projections go wrong:
- Fault is unclear early on. In Michigan, even small disputes about speed, visibility, road conditions, or supervision can shift settlement leverage.
- Causation is not always obvious. A fatal outcome may involve complications, delayed consequences, or multiple contributing events.
- Insurance posture matters. Adjusters may value the claim differently than an algorithm does—especially when liability is being investigated.
- Damages are more than a number. Funeral and medical bills are often documentable, but other losses require proof and careful framing.
If you’re seeing an estimate online, treat it as a prompt—not a prediction.


