Faster referral intake and cleaner benefits and authorization packets.
Use this signal to validate whether the workflow improved after a guarded pilot.
Specialty Pharmacy case playbook
Specialty pharmacy workflow that turns referrals, benefits, authorizations, onboarding, refills, and claims into reviewed operations packets.
Representative playbook
This case study is a representative workflow playbook, not a fabricated client claim. It shows how a buyer can scope the workflow before committing to implementation.
Workflow breakdown
The right first pilot should make the workflow easier to review, not harder to trust.
Problem: Specialty pharmacy teams move between prescriber offices, fax, phone, pharmacy systems, CRM, payer portals, hub services, copay programs, delivery tools, SMS, email, and patient portals while patients wait for therapy starts and refills.
Automation: AI classifies referrals, prepares benefits investigation and prior authorization context, queues missing documents, drafts reviewed prescriber or patient follow-up, organizes refill and adherence tasks, and routes reimbursement, pharmacist, patient-care, billing, or manager-review exceptions.
Guardrail: Medication counseling, therapy advice, prescription changes, dose changes, substitutions, dispensing decisions, adverse-event handling, coverage commitments, final claim decisions, and sensitive patient messages remain pharmacist, clinician, reimbursement, biller, or manager-reviewed.
Outcome signals
A useful case study should name the operating signals to monitor before and after launch.
Use this signal to validate whether the workflow improved after a guarded pilot.
Use this signal to validate whether the workflow improved after a guarded pilot.
Use this signal to validate whether the workflow improved after a guarded pilot.
Next step
We will compare this playbook to your actual systems, owners, approval risks, and measurable baseline.