Bringing AI Agents to Healthcare with Anshar AI
Anshar AI is positioning agentic AI as a practical solution to some of healthcare’s most persistent administrative challenges, particularly in billing and revenue cycle management.
In a recent discussion, CEO Pinaki Saha highlighted the scale of the problem. He noted that 40–50% of medical claims are denied, and resolving a single denial can take up to 14 hours of manual effort. In many cases, providers abandon claims altogether due to the time and complexity involved. At the same time, physicians are spending roughly half their time on administrative tasks, while approvals for high-cost treatments can take up to 10 hours.
To address these inefficiencies, Anshar AI is encouraging healthcare organizations to start small, focusing on targeted pilot projects with clear goals. Two of its solutions—PriorAuthPilot and DenialFighter—are designed to deliver quick, measurable impact.
PriorAuthPilot streamlines the prior authorization process by combining patient data with relevant clinical evidence, reducing turnaround times from hours to just minutes. On the other end of the workflow, DenialFighter analyzes rejected claims and identifies the supporting documentation needed to secure approval, helping providers recover revenue that might otherwise be lost.
These tools are designed to integrate with existing EHR systems in a matter of weeks, without requiring major workflow changes. Instead of adding complexity, they remove manual tasks, allowing staff to review and approve AI-generated outputs.
Saha emphasized that while AI can significantly improve operational efficiency, it should not replace clinical decision-making. Instead, AI agents should support administrative processes and flag situations where physician input is required.
With a catalog of over 40 AI agents and implementation timelines as short as four to six weeks, Anshar AI aims to make it easier for healthcare organizations to adopt AI incrementally—delivering immediate value while maintaining human oversight.
