After a spinal cord injury, it’s normal to search for certainty. An AI tool might ask questions about injury level, severity, age, and future care—then return an estimate that looks like an answer.
In real cases, especially those involving Wisconsin traffic conditions, work sites, and winter driving hazards, insurers often push back when the record doesn’t match the assumptions. That means an AI estimate can be misleading if:
- the severity inputs don’t match what MRIs and neurological exams actually show,
- the timeline from the crash/work incident to symptom documentation is inconsistent,
- future care needs aren’t supported by a clinician’s recommendations or life-care planning.
Think of AI as a flashlight—not the map.


