About Avallon
Avallon turns complex claims operations into automated resolutions, cutting costs and supercharging adjuster productivity with agentic workflows. It is built for carriers, MGAs, and TPAs to automate claims operations, eliminating busywork for claims teams across the US and Europe.
How to Use
Avallon utilizes AI agents to automate various aspects of claims operations. Users can leverage specific agents like the Claim Intaker for new loss capture, Case Status Receptionist for inbound inquiries, Third-party Reacher for outbound communication, and Case Copilot for data retrieval, analysis, and action suggestions. The platform integrates seamlessly with existing CMS, CRM, IVR systems, and data warehouses, and can be configured to specific workflows and call scripts.
Key Features
- Context-Aware AI
- Dialer (for scaling phone calls)
- Orchestrator (for automating emails)
- Parser (for structuring documents)
- Copilot (for workflow supercharging, data retrieval, analysis, and recommendations)
Use Cases
- Automating claims operations for Workers Comp, Property & Casualty (P&C), and Health insurance.
- Capturing new losses via phone, email, or file upload with zero manual entry.
- Answering inbound status request calls with real-time updates and full claim context.
- Auto-dialing employers, providers, and injured workers while logging responses.
- Retrieving data, citing sources, analyzing claims, and suggesting actions for case management.
- End-to-end subrogation automation, including multimodal outreach and demand packet building.
Key Features
Pros & Cons
- Reduces manual data entry and administrative busywork for adjusters
- Seamless integration with existing CMS, CRM, IVR, and data warehouse systems
- Multilingual support and instant translation for global claims teams
- Scales to handle unlimited concurrent calls with zero wait times
- Human handoff capability for complex or sensitive cases
- Fully customizable call scripts and workflows with engineering support
- 24/7 support for critical issues and proactive monitoring
- Custom pricing is not publicly transparent, requiring a consultation for cost
- Implementation requires tight collaboration with Avallon's forward deployed engineering team
- May involve complexity in integrating with legacy systems
- Dependence on AI accuracy for critical claims decisions may require human oversight
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