AI tools typically work by comparing your inputs to patterns from other files. That’s why the results can feel reassuring at first: you enter your injury type, treatment history, and time off, and the tool produces a range.
The problem is that workers’ compensation outcomes aren’t driven by injury labels alone. In Mauldin, we often see insurers scrutinize details tied to real-world work conditions—things like:
- Shift timing and missed work documentation (especially when payroll is inconsistent across weeks)
- Restrictions that don’t match your actual job duties (e.g., light duty that doesn’t exist in practice)
- Gaps between symptom reports and clinic visits
- Whether your treating provider’s notes clearly connect symptoms to work activity
An AI calculator can’t reliably assess those gaps. It also can’t evaluate how your particular insurer tends to argue disputes in South Carolina.


