Olive AI
Overview
Waystar’s “Olive AI” refers to the clearinghouse and patient access business units acquired by Waystar from Olive AI in October 2023. These units leverage AI, machine learning, and automation to manage administrative workflows within the healthcare revenue cycle.
The tools are designed for a broad range of healthcare providers, including health systems, hospitals (including children’s hospitals), and physician and specialty practices. This also extends to ambulatory surgery centers, billing services, clinical laboratories, durable medical equipment providers, elective wellness and specialty care, fertility and reproductive health, FQHCs, home health and hospice, and skilled nursing facilities.
Within a practice workflow, Olive AI capabilities, now integrated into Waystar’s platform, aim to streamline financial clearance processes such as eligibility verification, patient estimation, and authorization. They also support clinical integrity and revenue capture through utilization management and prebill anomaly detection, as well as claim and payment management, and denial recovery. Notable capabilities include automating high-volume, repetitive administrative tasks like coverage identification, eligibility verification, claims and remittance processing, and prior authorization. Waystar’s broader AI-powered platform, AltitudeAI, also focuses on detecting unjustified payer recoupments and reducing time spent on denial appeals and recovery.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Eligibility Verification
- Patient Estimation
- Authorization Management
- Claim Manager
- Denial + Appeal Management
- Payer Reimbursement
- Remit + Deposit Management
- Patient Payments
- Analytics + Reporting
- AltitudeAIu2122 (Agentic, Generative, Predictive AI)
Use Cases
- Automating revenue cycle workflows
- Preventing and recovering denied claims
- Accelerating reimbursement and cash flow
- Improving patient financial experience
- Enhancing operational efficiency
- Gaining actionable insights from financial data
Details
| Category | Medical Billing & RCM, Practice Analytics & BI |
| Pricing |
Custom
|
| Deployment | Cloud, SaaS |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status | Unknown AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Family Medicine, Hospital Medicine, Internal Medicine |
What the Web Says
Olive AI, a healthcare automation company, aimed to streamline administrative tasks in hospitals using AI and machine learning. Despite initial promises of significant cost reductions and operational efficiency, the company ultimately faced a decline, selling off assets and shutting down. Reviews from various sources indicate a significant mismatch between Olive AI's ambitious claims and its actual delivery, leading to widespread dissatisfaction among clients and employees.
Overall: NegativeStrengths
- Streamlined RFP processes and requirements gathering (for the Olive software product, not the healthcare AI automation).
- User-friendly interface (for the Olive software product).
- Automated repetitive tasks in healthcare systems, reducing manual administrative work and errors (initial promise).
- Opportunity to explore early iterations of healthcare AI and automation implementations (from an employee perspective).
- Good policies and benefits for employees (from an employee perspective).
- Talented individuals worked for the company.
Limitations
- Overpromised significant cost savings (e.g., 500% improvement) but delivered much less (10-15%).
- Exaggerated automation capabilities, often requiring human intervention.
- Lack of transparency and clear progress tracking regarding cost savings and ROI.
- Poor integration with existing electronic health records (EHR) systems.
- Inadequate customer support, with long response times and ineffective solutions.
- Rapid expansion led to a lack of focus and a one-size-fits-all solution that didn't meet diverse client needs.
Based on reviews from: Oyelabs, G2, Indeed, Reddit, Capterra, SoftwareAdvice AU, Medium, Becker's Hospital Review
Last updated: 2026-10-07
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