Tensor automates healthcare phone call workflows using AI agents that can handle up to 99% of calls without human intervention, streamlining processes such as patient intake, prior authorization, and payor follow-up. This technology addresses staffing shortages and reduces operational costs while improving patient engagement and outcomes through immediate call handling and personalized interactions.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare providers and payers face significant staffing shortages and high operational costs associated with managing a high volume of phone calls for tasks such as patient intake, prior authorization, and payor follow-up. Traditional interactive voice response (IVR) systems are often slow and frustrating for patients, leading to poor engagement and outcomes.
Solution
Tensor provides an AI-powered phone call automation platform that handles a wide range of healthcare workflows across patient access, clinical operations, and revenue cycle management. The AI agents can manage up to 99% of inbound and outbound calls without human intervention, streamlining processes such as patient intake and scheduling, prior authorizations and referrals, verification of benefits, payor follow-up, and transition of care. The platform uses configurable call flows and natural language processing to understand caller intent, automate tasks, and escalate complex cases to human agents when necessary. By automating these workflows, Tensor reduces costs, improves patient engagement, and frees up staff to focus on higher-value activities.
Target Audience
Tensor primarily targets healthcare providers, including hospitals, clinics, and physician practices, as well as payers seeking to automate phone call workflows, reduce operational costs, and improve patient engagement.
Features
- AI-powered agents that handle both inbound and outbound calls with human-like conversation capabilities
- Configurable call flows to automate complex workflows across various healthcare functions
- Integration with existing EHR, CCaaS, ERP, and CRM systems to leverage data and minimize process changes
- Real-time call categorization, labeling, and summarization for enhanced observability and insights
- Analytics and reporting dashboards to track key metrics such as call volume, outcomes, and customer satisfaction (CSAT)
- Automated escalation of complex calls to human agents with seamless merging capabilities
- A/B testing and version control for continuous improvement of AI agent performance
- HIPAA compliance, HITRUST, and SOC 2 certification for enterprise-grade security and reliability