Each demo runs on real, published payer medical policy, with every answer tied to the chart evidence and the policy sentence behind it. The patients are synthetic.
One denied claim, worked two ways: the manual review, then LogicPearl matching the chart to the payer rule and assembling the appeal evidence.
A three-minute path through one case: the packet as it arrives, the evidence AI finds, the payer criteria checked against it, the reviewer's view, and the record that stays with the decision.
The defects that turn into denials: missing medical-necessity documentation, registration or authorization breakdowns, and coding mismatches, each with the owner and the next correction.
A shadow-mode pilot runs it beside your process on your historical cases, with nothing live changed.