AI tools are built to predict outcomes from typical patterns. That can go wrong in the exact situations that are common around Puyallup:
- Delayed diagnosis or evolving symptoms. Spinal injuries sometimes start with pain and neurological changes that become clearer over days or weeks. If the calculator assumes the severity was obvious immediately, the estimate may be off.
- Multiple-vehicle or shared-fault scenarios. In traffic-heavy areas, insurers often argue comparative fault or dispute causation. An AI tool generally can’t weigh witness credibility, skid/impact evidence, or competing medical narratives.
- Work-related injuries with complex documentation. Workplace claims may involve early reporting issues, modified duty disputes, or gaps between incident reports and medical notes—details AI can’t accurately capture.
- Care needs that don’t fit a “standard” model. Two people with similar diagnosis labels can require very different lifetime support depending on bowel/bladder function, mobility limitations, skin risks, respiratory complications, and the availability of caregivers.
The takeaway: think of AI as a starting worksheet, not a settlement promise.


