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What is Teamworks IRO?

We offer clear and straightforward pricing options, which include a flat monthly fee, a per-case rate, or a hybrid of both. In addition, our Information at a Glance Dashboard, Customizable Task List, and Scheduler are included at no additional charge, allowing you to access all Case Information seamlessly from one platform without requiring supplementary software. Among the notable features of Teamworks IRO is its efficient method for collecting and managing data related to IRO, URA, Peer Review, Insurance Companies, and Attorneys. You can easily monitor due cases, outstanding tasks, necessary documents, pending payments, along with system-generated faxes and emails, all of which are simple to oversee. A Task List is created automatically for each new case, ensuring that you remain organized throughout the process. Moreover, users can generate case and financial reports quickly and easily; a Case Closing Report is also automatically created and sent to the appropriate state agency, offering a detailed summary of your activities. This system not only boosts efficiency but also guarantees that every aspect of your case management is accounted for, ultimately leading to better outcomes. With its user-friendly features, this platform is designed to significantly streamline your workflow and improve productivity across the board.

What is MarvelX AI?

Insurance claims are the flagship use case for MarvelX, an agentic AI company serving financial services and highly regulated industries. Its AI claims agents run autonomous claims processing end to end: a claim arrives as a first notice of loss (FNOL), gets its policy validated, is adjudicated, and moves to settlement, so work that took days is finished in under an hour. The buyer list spans P&C, motor, travel, health, life, and embedded insurers plus MGAs and TPAs. Edge cases are escalated to human reviewers rather than forced through, a human stays in the loop on every decision, and the output is audit-ready. There is also a standalone option, AI document data extraction for insurance, for teams that want structured fields from documents (each carrying a source reference) without automated decisioning. MarvelX is extending this agent architecture into other regulated workflows, including KYC/KYB verification for notarial services, and connects to the systems teams already use: HubSpot plus the Dutch registries KVK, RDW, and SchadeGarant.

Media

Media

Integrations Supported

HubSpot CRM

Integrations Supported

HubSpot CRM

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Price on request
Pricing is scoped to claim volume and workflows deployed. Get in touch for a quote.
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IRO Solutions

Date Founded

2012

Company Location

United States

Company Website

www.irosolutions.com

Company Facts

Organization Name

MarvelX.ai

Date Founded

2025

Company Location

Netherlands

Company Website

www.marvelx.ai

Categories and Features

Claims Processing

Adjustor Management
Case Management
Claim Resolution Tracking
Co-Pay & Deductible Tracking
Compliance Management
Customer Management
Electronic Claims
Forms Management
Paper-Based Claims
Payor Management
Policy Administration

Categories and Features

Claims Processing

Adjustor Management
Case Management
Claim Resolution Tracking
Co-Pay & Deductible Tracking
Compliance Management
Customer Management
Electronic Claims
Forms Management
Paper-Based Claims
Payor Management
Policy Administration

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