AI tools can be useful for understanding what categories of damages exist. But in Ferguson truck wrecks, the biggest problem is usually not math—it’s proof.
Common reasons an AI-style estimate can be wrong include:
- Missouri causation disputes: Insurers may argue your symptoms were caused by something else (pre-existing conditions, unrelated injuries, delayed treatment).
- Local evidence gaps: If the crash happened on a busy roadway, footage may be overwritten quickly, witnesses may move on, and scene evidence can be lost.
- Document timing: A generic calculator can’t tell whether your medical records line up with the crash timeline.
- Multiple-party liability: Truck cases often involve driver conduct plus company policies, maintenance, loading practices, or equipment defects.
Instead of treating an estimate like a promise, treat it like a starting point—then build the record that supports a real settlement demand.


