Prescription received
- Who
- Prescriber, patient, intake staff
- AI helps with
- Reads and structures the prescription
- Control
- Identity, consent, duplicates
Next Gen AI Pharmacy
Branded prescriptions abandoned when the patient cost is above $250
Approaching 6 in every 10: abandoned at the pharmacy
Branded prescriptions rejected for prior authorization that were never approved
54% were approved, most after a delay of days
Estimated global cost of medication errors, every year
Potential clinic revenue lost each year to unresolved claim denials
Share of potential revenue
Surveyed patients not taking their medicines as prescribed
704 of 1,248 patients surveyed
Cost and coverage become clear too late.
Authorizations wait in separate queues.
The medicine is not in stock where it was sent.
Refills lapse when nobody owns the follow-up.
Prescribed without the patient's full picture in view.
What is handed over is not what was intended.
It brings coverage, pharmacist review, stock and delivery into one workflow.
AI coordinates. Licensed professionals decide.
The workflow does not reverse a denial. People decide.
Potential outcomes, not measured results
Accept permitted e-prescriptions, authorized uploads, and integrated provider-originated messages; normalize identifiers and structured data.
Control: Identity, consent, source authenticity, duplicate detection.
Check completeness, applicable formularies, the medication catalogue and rule-driven alerts; route uncertainties to a pharmacist.
Control: Never autonomously diagnose, prescribe, modify dosage, or substitute therapy.
Request payer eligibility and medication coverage, handle responses and human escalation; manage authorizations where supported.
Control: Payer-specific consent, authorization, eligibility, and coverage rules.
Present verified patient-pay estimates and eligible alternatives for pharmacist or prescriber review.
Control: Final pricing is not implied without payer or pharmacy confirmation.
Query authorized pharmacy stock, route to eligible locations, handle shortages, and offer pickup or delivery options.
Control: Local distribution licensing, cold chain, restricted-medication controls.
Coordinate order queues, exceptions, and handoff to licensed dispensing staff.
Control: A pharmacist completes any mandated verification or release step.
Show status, pending actions, cost confirmation and delivery timing; support consented caregiver access.
Control: Role-based access, privacy, accessible and approved medication instructions.
Surface due dates, missed refills, renewal needs, and adherence-support tasks.
Control: Prescription validity, and clinician review when required.
Create owned cases for stock-outs, denials, mismatches, expiry and missing consent, with retry and escalation policies.
Control: Named owner, service-level target, auditable override.
Route claims and acknowledgements; reconcile status, rejections, and settlements when systems permit.
Control: Local payer transaction standards and audited corrections.
Track turnaround, first-pass automation, exception rate, abandoned workflows, and refill timeliness.
Control: Measured from actual implementations, not from benchmark figures.
Summarize context, draft responses, classify and prioritize exceptions, and suggest the next permitted steps.
Control: Human oversight, grounding, tool permissions, audit trail.
AI assists. Licensed professionals and authorized owners make the regulated decisions.
Tell us where prescriptions stall today.
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