Underwrite this in denials and waiting, using your own numbers. Pull your denial report and count what documentation and coding compliance gaps cost last quarter; then add the scheduling delays that trace back to credential questions sitting in an HR queue. That is the bill this system is built against. The mechanism is specificity: a coder who gets the exact payer contract clause and your recent denial patterns in seconds writes documentation that clears the first time, and a scheduler who can see credential status in real time stops holding appointments while an email chain resolves. Set the targets as stated assumptions before you sign - fewer documentation-related denials, faster authorization cycles, an HR queue that shrinks to exceptions - then measure against your own baseline.
The return compounds as the model learns your compliance outcomes. Denial patterns feed back monthly, so guidance sharpens against what your payers are actually rejecting, not a generic rulebook. Retraining gets targeted: when a payer contract changes, the system flags exactly which teams need the update instead of triggering blanket re-education. And HR's time shifts from answering the same question fifty times to auditing the high-risk areas - credential lapses, documentation patterns by specialty - that actually move accreditation and revenue risk.