AI tools can be tempting because they promise quick answers. In practice, most estimates are based on patterns—what typically happens with other claims that look similar on paper.
In Washington, that can break down because workplace injuries frequently involve:
- Jobs with irregular schedules (morning/late shifts) where wage loss isn’t always captured cleanly
- Physical labor where “temporary” restrictions can still cause months of reduced work capacity
- On-site safety incidents where insurers scrutinize incident details and medical timelines
If your records don’t line up with the assumptions the AI model uses, the range it gives may be too low—or sometimes too optimistic. Either way, treating it like a promise can lead to bad decisions.


