Most AI tools work by taking your inputs—injury type, date of injury, treatment, and your reported work impact—and producing a “range” based on patterns from other cases.
In Glenwood Springs, that approach can be especially misleading when your claim depends on evidence that the AI can’t see, such as:
- Treatment documentation that ties symptoms to specific work restrictions (critical when your job involves lifting, kneeling, or time-sensitive duties)
- Consistency in the timeline—for example, whether symptoms were documented soon after the incident
- Wage records that reflect real shifts (seasonal hours, variable schedules, and overtime patterns can complicate wage loss)
- Functional limitations that match what you can (and can’t) do in your actual role
If the tool’s estimate is based on generalized assumptions, it may not reflect how Colorado carriers evaluate the medical and wage proof in your particular file.


