Prior authorization burden
Cases pile up. Turnaround targets get harder. Clinical reviewers spend time on routine work and hard exceptions alike.
Prior authorization already costs clinical time, turnaround pressure, and exception work. AI can remove routine steps. It can also grow full review if the plan cannot tell a well-supported case from a risky one.
Start with volume, full-review share, time, and loaded cost. Then talk about review burden, economics, AI maturity, and decision control.

Intake, extraction, criteria, clinical review, and downstream notices already stack. Automation helps only when full review, exceptions, and rework do not take the return.
Cases pile up. Turnaround targets get harder. Clinical reviewers spend time on routine work and hard exceptions alike.
Every full review has loaded cost. Avoidable full reviews erase automation savings before the model score looks wrong.
Supported work moves with less friction. Hard cases get clinical attention. Leaders can explain why a payer action was allowed.
Enter annual authorization volume, the share that gets full review today, average review time, and loaded reviewer cost. Scenarios show 5%, 10%, 20%, and 30% reductions in full reviews. These are Economic scenarios for planning, not realized outcomes.
Enter your volume and review burden. Results stay on this page until you continue the conversation.
Process rules generally began January 1, 2026. API rules generally begin January 1, 2027. Exact dates vary by payer type. This is timing context, not legal advice.
Impacted payers generally must meet process rules starting January 1, 2026, including decision timeframes for most payer types, specific denial reasons, and public metrics (initial metrics by March 31, 2026 per CMS).
Major API work is generally due beginning January 1, 2027. Timing varies by payer type.
Data exchange helps. Plans still need the right review posture and a clear basis for consequential actions.
When AI influence builds across intake, extraction, criteria, and clinical review before a payer action, Decision Control applies selective control: more AI work where the case supports it, tighter human handling where consequence and uncertainty rise. It helps set case-level responsibility, direct review when needed, protect automation value, and keep a clear record.
AI authority can change with the case, evidence, and consequence.
Send the right cases for extra clinical review instead of reviewing everything the same way.
Keep human handling where it is structurally required, not only where current controls cannot discriminate.
Preserve a basis for why a consequential payer action was allowed.
Public handling language: Proceed, Verify, Review, Hold or escalate. Explore Decision Control Plane
Bring one prior-auth workflow. We will recommend Initiative Review, Build, Pilot, Decision Control Assessment, Decision Control Plane, or no engagement.
$3,500 · 5 business days.
See Initiative ReviewScoped. Prove whether the pilot should scale.
See Pilot EvaluationDCA starts at $30,000. DCP is scoped.
See DCABring review burden, economics, and the Decision Control question. Start with a Decision Control Assessment when AI already shapes consequential PA actions.