See how it addresses inefficiencies in the current manual referral process by implementing a combination of rule-based robots and goal-based agents to handle tasks such as document classification, patient record creation, eligibility verification, and provider outreach.
Automation agents and robots streamline the process, reducing manual tasks and potential errors in document classification, patient record creation, and eligibility verification
Goal-based agents perform complex tasks like reviewing medical records and analyzing referral data, leading to more consistent and potentially more accurate handling of referrals
The system automates provider outreach, prior authorization submissions, and patient scheduling, potentially reducing cases where referring physicians are unaware of patient follow-ups
Video Demo
Discover how agentic automation is revolutionizing work order processing in the mining and natural resources industry by streamlining the entire workflow.
Video Demo
This demo showcases an agentic automation designed for anti-money laundering (AML) purposes.
Video Demo
This demo showcases an AI agent embedded in an order management workflow.