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Small commercial, habitational, and middle-market properties can sometimes create significant pain points for insurance professionals and their clients. Small commercial property carriers must enhance speed and efficiency, improve underwriting quality, and elevate the customer experience for both brokers and property owners. Habitational policies are complex, necessitating significant effort for their relatively small premiums. Mid-market properties have diverse underwriting needs from risks such as HVAC systems, outdoor inventory, solar panels and skylights, poor pavement conditions and more.

Join this webcast to discover ways to provide accurate underwriting data for improved risk evaluation and pave the way for significant cost savings and automation. You’ll learn to:

●      Minimize submission overload
●      Save time by understanding property details more efficiently
●      Identify common elements to foster efficiencies and consistency
●      And more!

Featured Speakers:

Philipp Ambrosch | Principal Product Manager | CAPE Analytics

As a Principal Product Manager at CAPE Analytics, Ambrosch leads the product vision, strategy, and execution for the Commercial Insurance product line, which utilizes deep learning and geospatial imagery to provide instant and accurate property information for underwriting and risk management. Ambrosch collaborates closely with customers, engineers, data scientists, and sales teams to deliver innovative and scalable solutions that address the needs of a rapidly evolving market.

Flavio Bombonato | Go-To-Market Lead | CAPE Analytics

As a Go-To-Market Lead at CAPE Analytics, Bombonato helps insurance carriers improve their ability to underwrite, price, and manage risks associated with commercial and residential properties using geospatial analytics. Bombonato's prior experience encompasses product management in developing industrial IoT solutions, workflow automation, and business intelligence solutions, as well as creating predictive maintenance tools by applying machine learning to vibration analysis and industrial process datasets.

Register Now

Can't attend? Register here for an on-demand recording after the webcast.