Olive AI provides an autonomous automation platform that uses large‑language models, OCR, and robotic process automation to digitize and execute revenue‑cycle and patient‑engagement workflows for health systems. The solution integrates with EHRs via FHIR/HL7, automates claim processing, prior‑authorization, and outreach, and offers a cloud‑native analytics dashboard for operational visibility and cost savings.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare organizations spend a disproportionate amount of staff time on repetitive administrative tasks such as claim processing, prior‑authorization routing, and patient outreach, leading to delayed reimbursements, higher error rates, and elevated operating costs.
Solution
Olive AI delivers an autonomous automation platform that leverages large‑language models, computer‑vision OCR, and robotic process automation to digitize and execute end‑to‑end revenue‑cycle and patient‑engagement workflows without human intervention. The system ingests structured and unstructured data from EHRs, payer portals, and patient communications, normalizes it via NLP pipelines, and triggers rule‑based actions or machine‑learning‑driven decisions in real time. Integrated with FHIR and HL7 interfaces, Olive’s orchestration engine routes prior‑authorization requests, validates claim submissions, and dispatches personalized outreach messages through secure messaging channels. Continuous model training reduces exception rates, while a cloud‑native analytics console provides operational visibility, compliance reporting, and cost‑savings dashboards for administrators. The platform’s API‑first design enables seamless embedding into existing health‑IT stacks, allowing providers to scale automation across multiple service lines while maintaining HIPAA‑compliant data handling.
Target Audience
The primary customers are health systems, hospital networks, and large physician group practices that manage high‑volume revenue‑cycle operations and patient communication programs.
Features
- AI‑driven OCR and NLP engine that extracts clinical and billing data from PDFs, scanned forms, and portal screens with >95% accuracy
- Robotic process automation (RPA) bots that execute claim edits, eligibility checks, and prior‑auth submissions across major payer portals
- Bi‑directional FHIR/HL7 integration layer for real‑time synchronization with Epic, Cerner, and other EHR systems
- Adaptive patient engagement module that sends automated appointment reminders, payment notices, and satisfaction surveys via SMS, email, or patient portal messaging
- Self‑learning decision models that prioritize high‑value claims and flag anomalies for human review, continuously improving from feedback loops
- Role‑based access control and immutable audit logs to satisfy regulatory and accreditation requirements
- Cloud‑native dashboard offering KPI tracking, cost‑avoidance analytics, and customizable workflow performance reports
- API‑first architecture allowing custom workflow extensions and third‑party SaaS integrations