The Intelligence Layer
Every recommendation should know the payer.
Generic AI knows medicine in general. OpAgent's agents run on DataQorp — a payer-policy intelligence engine purpose-built for orthopedic surgery and interventional pain management. Declared policy and observed behavior are not the same thing.
DECLARED POLICY
What the payer says
Coverage, authorization, and policy rules — procedure by procedure. This is the rule, not a reconstruction from last year's remittances.
OBSERVED BEHAVIOR
What the payer does
Remittances, downcodes, denials, and cycle time on cases this practice actually billed. Used as evidence. Never presented as a payer policy.
DECLARED POLICY · DataQorp coverage
DataQorp coverage · updated May 2026 · these counts are policy coverage, not observed payment behavior
How the agents consume it
Documentation goes in; payer requirements come out; the workflow completes with those requirements already satisfied. That is why an OpAgent recommendation is specific instead of generic: it knows which payer, which procedure, and which policy layer applies before the work is submitted.
The closed loop
The same intelligence carries past the encounter — through authorization, the claim, the payment, and revenue integrity — and what it learns feeds back into the next chart.
Clinical work and financial performance should not live in separate intelligence systems.