An AI tool may seem like it’s giving you instant clarity because it asks for basics like your diagnosis, injury date, and whether you missed work. Then it outputs a “likely” range based on patterns.
In Haverhill, that can be especially misleading when the claim involves:
- Shifts affected by commuting realities (late starts, overtime patterns, and schedule changes can make wage loss documentation complicated)
- Work injuries tied to moving equipment, loading docks, or repetitive tasks (where the insurer may scrutinize the incident narrative)
- Treatment histories that don’t cleanly show improvement (common when symptoms fluctuate day-to-day)
AI systems generally can’t see the details that matter most in your claim file—what the insurer will challenge, what your records actually prove, and which medical opinions will carry weight.


