Many AI tools work by comparing your inputs to patterns from other claims. That’s why the output often sounds “reasonable.” You might see a range based on:
- how long you were treated
- whether you missed work
- the body part involved
- the level of reported limitations
In Marysville, where many workers are employed in construction, warehousing, manufacturing, and transportation-related jobs, the evidence that insurers focus on often looks similar across industries—but the details are different.
An AI estimate typically can’t reliably account for things like:
- whether your treating clinician’s work restrictions match what you actually can do on the job
- whether wage documentation supports your claimed lost time (overtime/shift patterns are common issues)
- whether the insurer is disputing causation (whether the work incident caused the condition)
- whether your claim is at a stage where impairment opinions or stabilization have—or haven’t—been reached
When those gaps exist, the AI range may be too low, or it may give you false confidence that your evidence is “good enough.”


