AI Payer Calling for RCM Teams
AI phone agents that reliably make payer or patient calls on autopilot, handling 45+ minute calls with multiple transfers and complex decision trees.
What it does
AI phone agents that reliably make payer or patient calls on autopilot, handling 45+ minute calls with multiple transfers and complex decision trees. Covers eligibility verification, prior auth, claim follow-up, medical records, billing questions, and patient collections.
- AI agent orchestration
- revenue cycle management (RCM)
- retail catalog automation
- e-commerce customer experience
- account management
- Category
- Healthcare revenue cycle
- Built for
- Healthcare and life sciences, Retail and ecommerce
- Users
- large organizations, healthcare, retail, logistics
- Public API
- Not offered
Not yet disclosed: deployment options, platforms, languages and support channels.
Pricing
Pricing isn't published
Refactor doesn't list prices publicly. Ask them for a quote.
Security and compliance
As reported by Refactor. Ask for audit reports before you buy.
- audit_trail
Reviews
No reviews yet
Reviews come from people who use AI Payer Calling for RCM Teams at work. Share how your team uses it to help other buyers decide.
Alternatives
Call Agent
by Trellis AI
AI agent that maintains 24/7 visibility on each request, automatically follows up with payers for updates, and leverages built-in auto-dial workflows.
AI-powered platform that automates repetitive phone calls to payors and providers.
Complete healthcare automation platform for insurance checks, claims, and revenue intelligence for US healthcare providers.
AI-powered automation for every clinic workflow.
Prior Auth Autopilot
by Adentris
Generate prior auth packets that meet CMS 2026 SLAs.
Insurance Automation
by Cognitio Labs Inc.
Insurance verification, claim submission, credentialing, and patient scheduling automation for dietitian private practices.
Is this your product?
Claim it to keep details accurate and submit evidence for the next ranking review.
Claim AI Payer Calling for RCM Teams