Many AI tools work by taking a few inputs (burn type, treatment, time missed) and generating a broad range. The problem is that burn cases are not just “how bad did it look that day?”
In practice, insurers in Arkansas typically focus on:
- Medical documentation consistency (how the burn was diagnosed and treated over time)
- Causation evidence (whether the burn pattern matches the incident described)
- Functional impact (how the injury affected work tasks—especially manual labor, warehouse duties, and trades common in the Cabot area)
- Future care (scar management, therapy, possible reconstructive procedures)
Without those details in the tool’s inputs, an AI estimate can be off—sometimes too low, sometimes dangerously high.


