Agentech provides an agentic AI platform that automates manual tasks across the insurance claims lifecycle for adjusters. Utilizing over 200 purpose-built AI agents, the system handles document review, fraud flagging, and administrative work to boost adjuster productivity and lower claims costs. This technology supports human adjusters by presenting relevant data and next best action steps at key decision points without making adjudication decisions.
Funding
$3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Insurance claims processing is often slow, labor-intensive, and costly, requiring significant manual intervention and leading to delays in payouts. Inefficient claims management can result in increased operational expenses and reduced customer satisfaction for insurers.
Solution
Agentech offers an AI-powered claims processing platform designed to automate and streamline the handling of insurance claims. The platform utilizes a suite of pre-trained digital agents capable of managing various aspects of the claims process, from initial submission to final resolution. By automating repetitive tasks and leveraging AI-driven decision-making, Agentech reduces processing times, minimizes manual errors, and lowers operational costs for insurance providers. The platform's intelligent automation capabilities enable insurers to improve efficiency, enhance accuracy, and deliver faster, more responsive service to their customers.
Target Audience
Agentech primarily targets insurance companies and third-party administrators (TPAs) seeking to automate and optimize their claims processing operations.
Features
- AI-driven digital agents trained to handle diverse claim types and scenarios
- Automated data extraction and validation from claim documents
- Intelligent routing and prioritization of claims based on complexity and risk
- Real-time fraud detection and risk assessment using machine learning algorithms
- Automated communication and correspondence with claimants and stakeholders
- Integration with existing insurance systems and databases via APIs
- Customizable workflows and rules engines to adapt to specific business requirements
- Comprehensive reporting and analytics dashboards for performance monitoring