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Aspire General Insurance Services is a private passenger auto liability and physical damage carrier based in California. The company manages all aspects of the insurance process, from the point of sale issuance with independent brokers to customer service, billing, and claim handling. Aspire is committed to employing the latest technologies to support reliable customer service in both their claims and customer service departments. They strive to provide the best possible experience for the array of requests they receive, whether they are responding directly to queries concerning personal accounts or providing lienholders and brokers with the right information.
Aspire General Insurance Services, a California-based private passenger auto liability and physical damage carrier, was facing challenges in managing customer service efficiently. The company, which handles all aspects of the insurance process, was relying heavily on human agents for customer interaction and professional conversations across the insurance cycle. This reliance was making optimal customer service cumbersome and time-consuming. The customer service team, including chat services, was supported exclusively by human agents, which limited the resolution time for customer chats and led to elevated wait times for simple customer inquiries. Depending on various factors like staff turnover and external pressures, customers sometimes had to wait for as long as half an hour to be served.
To increase efficiencies and expand the volume of customer interactions, Aspire decided to deploy virtual agents to reduce the involvement of human agents in simpler chat interactions. After considering various vendors, they chose boost.ai for their conversational AI platform. This platform offered 24/7 customer support and a no-code conversation builder that allowed the team to easily create and deploy service flows for customers, brokers, and lienholders. The platform also provided a training editor that enabled the Aspire team to conduct real-time reviews of the virtual agent’s performance and optimize its responses across different stakeholder interactions. The virtual agent could handle inquiries across California and Michigan, determining the best paths for incoming customers based on their location and account status.
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