Tally provides an AI‑driven revenue cycle management platform that automates insurance verification, prior authorizations, claims submission, payment posting, and AR follow‑up while integrating with existing PMS, EHR, and clearinghouse systems. The solution uses specialty‑specific machine‑learning models with human‑in‑the‑loop oversight to reduce claim denials, accelerate cash flow, and lower manual workload, and it charges fees based on measurable revenue improvements.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare providers face increasing revenue cycle challenges such as rising claim denials, complex prior authorizations, and labor‑intensive manual processes for insurance verification, payment posting, and AR follow‑up. These inefficiencies delay cash flow and increase administrative costs, especially as payer rules become more sophisticated and staffing constraints tighten.
Solution
Tally delivers an AI‑driven revenue cycle management platform that automates key RCM tasks—including insurance verification, prior authorizations, claims submission, payment posting, and accounts‑receivable follow‑up—while integrating directly with existing PMS, EHR, and clearinghouse systems. The solution combines machine‑learning models trained on specific provider specialties (e.g., dental, behavioral health, DME, infusion) with a human‑in‑the‑loop team that continuously refines the AI based on payer policies and documentation rules. By preventing denials before they occur, accelerating claim resolution, and identifying underpayments, Tally improves cash flow and reduces manual workload. Pricing is outcome‑based, aligning fees with measurable revenue improvements, and the platform offers plug‑and‑play integration without requiring system replacements.
Target Audience
Primary customers are midsize to large healthcare providers—including dental practices, behavioral health clinics, durable medical equipment suppliers, infusion centers, and women's health services—that manage complex revenue cycles and seek to reduce denials and improve cash flow.
Features
- AI agents for insurance verification, prior authorization, claims processing, payment posting, AR follow‑up, and policy navigation
- Specialty‑specific models that adapt to payer rule changes and fee‑schedule updates
- Human‑in‑the‑loop oversight from a team of RCM experts and data scientists to ensure accuracy and continuous learning
- Seamless integration with existing practice management, EHR, and clearinghouse platforms (no rip‑and‑replace)
- Real‑time analytics dashboard that highlights denial risks, underpayment opportunities, and cash‑flow acceleration metrics
- Outcome‑aligned pricing model that ties costs to demonstrated revenue gains