Kyber Unveils Platform to Automate Claims Notices & Letter for Insurance Claim Teams
Kyber, a Y-combinator backed AI startup announced the launch of its revolutionary new platform that automates the claims notification process for insurance teams. Designed to tackle inefficiencies head-on, this AI-powered solution enables adjusters to auto-draft, review, and send complex claim notices like Denial letters and Reservation of rights notices faster than ever before, dramatically improving workflow efficiency.
Addressing Industry Pain Points
Claims adjusters across the insurance industry spend a significant portion of their time preparing notices such as Reservation of Rights and Coverage Denial letters. These processes are highly manual and repetitive, often leading to delays and bottlenecks that cost insurers time and money.
The traditional claims notification process has long been problematic due to several factors:
1. Manual Drafting: Adjusters frequently spend over 25% of their day drafting and reviewing claim notices. Complex claims often require hours of analyzing policy documents to extract relevant language, format and personalize.
2. Cumbersome Review Cycles: Review processes involving emails and meetings result in delays, making timely notice delivery challenging.
3. Inconsistent Documentation: Without standardized templates, notices may vary in tone and language or miss critical regulatory, increasing the risk of non-compliance.
Kyber’s AI-Powered Solution
Kyber’s platform brings AI-driven automation to insurance claims teams, providing a streamlined, efficient, and compliant way to manage claims notices and letters. Here’s how it works:
1. Automated Drafting: Kyber’s AI drafts claim notices in seconds, pulling in the correct policy language directly from the policy documents. Adjusters no longer need to manually review policy documents—Kyber does it for them.
2. Real-Time Collaboration: Teams can now collaborate on notices in real time, significantly speeding up review and approval workflows without relying on email or meetings.
3. Consistency and Compliance: Kyber’s pre-built templates ensure that all notices follow the same structure and tone, reducing the risk of errors or non-compliance.
Key Features of the Kyber Platform
1. AI-Generated Notices: Kyber’s AI engine instantly creates notices like Reservation of Rights or Coverage Decline letters, pulling in necessary policy information with minimal manual effort. Kyber also personalizes and formats the drafts such that its ready for review and sending.
2. Customizable Review Workflows: Teams can configure review workflows to match their internal processes, ensuring compliance with company policies at every step. Kyber’s review workflow is simple, intuitive and fast helping you team stay on top of customer notifications.
3. Omni channel Delivery: Kyber automates the delivery of notices, ensuring they are sent via physical mail or digital channels, and always on time.
4. Seamless Integration: Kyber integrates easily with leading claims management systems, including Guidewire and Snapsheet, providing a smooth user experience without disrupting existing workflows.
Driving Efficiency for Claims Teams
By adopting Kyber’s platform, claims teams can save over 25% of their time, allowing adjusters to focus on more valuable tasks. The AI-driven automation not only 
speeds up the notification process but also ensures compliance and consistency, reducing operational risks.
Arvind Sontha, co-founder of Kyber, emphasizes the platform’s impact: “We created Kyber to address the inefficiencies in the claims notice and letter sending process. By automating this tedious and rather thankless task, we allow adjusters to be happy, work faster and with greater accuracy, ensuring a more transparent and consistent process.”
Book a Demo
Kyber’s AI-powered claims notification platform is available now. To learn more about how it can transform your claims team, visit [askkyber.com/demo] and book a demo today.
With Kyber, the future of claims notifications is faster, smarter, and fully automated.
