Insurance is an $8 trillion global industry burdened by manual workflows and a growing talent shortage. Cara delivers an AI-native solution on AWS that automates back-office processes for insurance brokerages.

Insurance agents routinely spend hours on repetitive tasks. These include completing applications, analyzing policy coverages, re-keying data across systems, and relaying information between clients and carriers. As the industry faces a persistent talent shortage, brokerages need to scale revenue without proportional headcount increases.

In this post, we explore how Cara, built in cooperation with AWS, addresses these challenges. We walk through the technical design decisions and the AWS services that support the solution. We also share measurable outcomes Cara has delivered for enterprise brokerages.

Insurance brokerages operate in a highly regulated environment. Every transaction demands precision, auditability, and compliance. The data involved includes sensitive personally identifiable information (PII), financial records, and underwriting details.

Generic AI tools are not designed for this complexity. Effective AI for insurance must understand domain-specific data models and brokerage workflows. It must also handle carrier-specific requirements and regulatory constraints while meeting enterprise security standards.

Cara’s founding team saw these gaps firsthand. Vic Yeh, Nikhil Kansal, and Jon Patel previously founded a digital insurance brokerage. They scaled and sold it to The McGowan Companies, one of the largest privately held insurance organizations in the US.