mShift Collaborates with Fenris for Enhanced Insurance Data and AI Solutions
mShift Collaborates with Fenris for Enhanced Insurance Data and AI Solutions
In a significant advancement within the insurance technology sector, mShift, a provider known for its innovative cloud-based submission platform, has formed a strategic partnership with Fenris. This collaboration aims to fuse Fenris' state-of-the-art data-prefill technology and predictive AI capabilities directly into the mShift Marketplace. This integration signifies a leap forward for brokers and carriers utilizing mShift's offerings, as it allows for seamless access to Fenris' real-time data enrichment within their existing workflows.
With mShift's recent enhancement, users can now enjoy a fully automated quoting experience via email, storefronts, and submission clearing, as well as bulk processing. Previously, brokers had to manage multiple steps to gather data before making quotes, leading to delays and inefficiencies. However, thanks to the new integration, brokers can pre-populate applications at the moment of submission, yielding a faster and more accurate quoting experience that works effortlessly across various carriers.
Charlie Touché, mShift's Digital Innovation Officer, emphasized the company's commitment to embracing innovation and change. “By integrating Fenris' real-time enrichment and predictive AI capabilities into our marketplace, we aim to reduce friction within the quoting process and enhance speed,” he said. This technology serves to empower brokers by providing them with immediate access to crucial data that aids in making informed decisions rapidly.
Moreover, Jennifer Linton, founder and CEO of Fenris, underscored the advantages of this partnership in revolutionizing how brokers and insurers interact. “This collaboration highlights the power of innovation through partnership,” Linton stated. She emphasized that by embedding Fenris' predictive intelligence and enrichment capabilities into the mShift platform, the collaboration enhances insurers' ability to access adaptive models and updated data, thereby driving quoting precision and conversion rates without circling back to disrupt established workflows.
Founded in 2019 and headquartered in Phoenix, Arizona, mShift specializes in tailored e-trading solutions that equip brokers with efficient and rapid quoting, binding, and policy issuance capabilities. Positioned as a critical infrastructure layer within the evolving landscape of modern insurance, mShift powers submissions, quotations, and digital placements across a range of specialty lines and cyber insurance solutions.
On the other hand, Fenris has established itself as a leading provider in delivering real-time data enrichment and predictive AI for insurance distribution. With a focus on supporting every phase of the insurance lifecycle—from initial lead evaluation through the quoting process to policy retention—Fenris provides continuously refreshed data and adaptive models. This capability is crucial for insurers, enabling them to accelerate growth, boost efficiency, and minimize risks associated with decision-making.
As the insurance industry continues to advance technologically, the partnership between mShift and Fenris is perfectly timed to not only meet but exceed the modern broker's need for speed, accuracy, and streamlined operations. This innovation promises to redefine efficiency in insurance distribution and enhance brokers' decision-making capabilities as they navigate a rapidly evolving marketplace. Given the caliber of service both companies provide, this strategic alliance sets a new standard on how insurance transactions can be managed in the digital era.
The implications of this partnership are wide-reaching and reflect a larger trend in the insurance tech space where integration of advanced technologies is transforming traditional practices. For brokers looking to stay ahead in a competitive landscape, leveraging real-time data and predictive AI tools offers the opportunity to enhance client satisfaction, improve operational efficiency, and ultimately, drive business success.