Mello provides an AI-powered operational layer for healthcare organizations, automating repetitive administrative tasks like prior authorization submissions across EMRs, payer portals, and fax systems. The platform's AI agents read screens, navigate changing layouts, and execute actions such as clicking, typing, and downloading, delivering a single reviewed result for team approval. Mello reports a 90%+ reduction in manual processing time and can deploy custom agents in as little as two weeks.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare administrative work is scattered across EMRs, payer portals, fax machines, and PDFs, forcing staff to navigate inconsistent workflows and payer-specific requirements. This fragmentation pulls clinical personnel away from patient care and limits operational throughput as patient volumes grow.
Solution
Mello provides an AI-powered operational layer that sits across all healthcare systems, automating back-office workflows such as prior authorization submissions. The platform's AI agents read each screen, understand changing layouts, and execute the next action—clicking, typing, downloading, and submitting across portals, faxes, and PDFs—the way a trained staff member would. Mello delivers one reviewed result that the team can check and approve, reducing manual processing time by over 90% and enabling 5x the operational volume without adding headcount. The system is deployed through a white-glove service where engineers build custom agents trained on each organization's specific processes, terminology, and compliance requirements.
Target Audience
Primary customers are healthcare organizations of every size, including clinics, hospitals, and medical practices that need to automate prior authorizations and other administrative workflows currently handled manually by staff.
Features
- AI agents that read screens, understand dynamic layouts, and autonomously determine the next action across EMRs, payer portals, faxes, and PDFs
- End-to-end execution of clicks, typing, downloads, and form submissions for prior authorization and other back-office workflows
- Single reviewed output that consolidates scattered work into one result for team approval
- Custom agent training on organization-specific processes, terminology, and compliance requirements
- Deployment timeline of approximately two weeks from initial discovery to live AI agents
- Measurable outcomes including 5x operational throughput and 90%+ reduction in manual processing time