AI Prior Authorization Agent

How It Works

Tell it your service types, payers and clinical data sources. This generates a prior-auth workflow the way an experienced automation strategist would build it - a real, usable deliverable, not a generic checklist. The output follows the standard: prior-auth workflow: payer rules, data integration (278/FHIR), criteria matching, review gate, compliance, KPIs. Replace every [[token]] with your specifics and it is ready to implement.

What to Provide

AI Prior Authorization Agent

This is the finished deliverable.

1. Service types and payer-specific PA rules

Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for service types and payer-specific pa rules]]. Base it on your service types and adjust as real cases come in.

Signal of expertise this section should show: X12 278 (PA request/response) and FHIR integration.

Mistake this guards against: Auto-submitting without clinician sign-off.

2. Clinical-data sources and FHIR/HL7 integration

Cover each of these explicitly rather than leaving them implied: [[EHR]], [[labs]], [[notes]]. Define [[the specific rule or default for EHR]] so nothing is left to guesswork.

Signal of expertise this section should show: InterQual/MCG medical-necessity criteria.

Mistake this guards against: Ignoring payer-specific criteria and EDI standards.

3. Medical-necessity criteria matching

Cover each of these explicitly rather than leaving them implied: [[e.g. payer policy]], [[InterQual]], [[MCG]]. Define [[the specific rule or default for e.g. payer policy]] so nothing is left to guesswork.

Signal of expertise this section should show: HIPAA and minimum-necessary handling.

Mistake this guards against: No HIPAA/audit controls.

4. Auto-population of payer forms and submission

Cover each of these explicitly rather than leaving them implied: [[portal]], [[277]], [[278 EDI]]. Define [[the specific rule or default for portal]] so nothing is left to guesswork.

Signal of expertise this section should show: clinician-in-loop attestation.

Mistake this guards against: No denial/appeal handling.

5. Status tracking and follow-up

Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for status tracking and follow-up]]. Base it on your service types and adjust as real cases come in.

Signal of expertise this section should show: CMS interoperability/PA-rule awareness.

Mistake this guards against: Auto-submitting without clinician sign-off.

6. Denial-reason capture and appeal support

Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for denial-reason capture and appeal support]]. Base it on your service types and adjust as real cases come in.

Signal of expertise this section should show: X12 278 (PA request/response) and FHIR integration.

Mistake this guards against: Ignoring payer-specific criteria and EDI standards.

7. Clinician review and sign-off

Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for clinician review and sign-off]]. Base it on your service types and adjust as real cases come in.

Signal of expertise this section should show: InterQual/MCG medical-necessity criteria.

Mistake this guards against: No HIPAA/audit controls.

8. HIPAA compliance and audit logging

Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for hipaa compliance and audit logging]]. Base it on your service types and adjust as real cases come in.

Signal of expertise this section should show: HIPAA and minimum-necessary handling.

Mistake this guards against: No denial/appeal handling.

9. Turnaround-time/approval-rate KPIs

Write the specific rule for your situation here: [[the concrete policy, threshold, or owner for turnaround-time/approval-rate kpis]]. Base it on your service types and adjust as real cases come in.

Signal of expertise this section should show: clinician-in-loop attestation.

Mistake this guards against: Auto-submitting without clinician sign-off.

Worked Examples

Example 1 - Outpatient imaging center

Inputs: MRI/CT services, top 5 commercial payers, EHR clinical notes

Result: Auto-drafted clinical justification cut prior-auth turnaround from 6 days to 36 hours.

Example 2 - Specialty infusion clinic

Inputs: Biologic infusions, Medicare Advantage + commercial, prior visit history

Result: Payer-specific requirement checklist reduced denial rate by 27% in the first quarter.

Format Checklist

Common Mistakes to Avoid

• Auto-submitting without clinician sign-off.
• Ignoring payer-specific criteria and EDI standards.
• No HIPAA/audit controls.
• No denial/appeal handling.

Next Steps After You Generate This

Week 1: pilot with a small internal group or a single channel/segment. Week 2: review real output against the format checklist below and fix the top 2-3 gaps. Weeks 3-4: expand scope and set a recurring review cadence so the workflow stays accurate as your data and process change.

This deliverable gives you a working starting point on day one - keep the [[tokens]] current as your process, tools, and volume change.