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Teaching an Old Dog New Tricks: Pet Claims Automation at RSA Group
Pet insurance has emerged as a high-growth product line for RSA, but the claims review process has proven very time consuming given the amount of documentation they need to manually review for each individual claim. Fearing the negative impact a slow claims process would have on response times and the overall customer experience, RSA sought out a solution that could automate some of this timeconsuming claims process.
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Accelerating Media Categorization via IPTC Taxonomy at Ansa
Ansa, a leading press agency, was struggling with the heavy volume of news and the speed at which information circulates. Accurate and timely content sorting and categorization were of the utmost importance. The only way to keep up with current events and satisfy the needs of internal organizations was to have a classification system that is fast, uniform, complete and accurate (according to IPTC international standards). Ansa wanted a tool to improve information management, enabling them to better archive daily news and enhance the image search in their online database.
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Automating SMS Self-Help at Vodafone
Vodafone, one of Europe's leading mobile operators, was facing a challenge with its call center operations. The company was logging more than 45 million inbound calls annually, which was a significant load on their resources. They wanted to optimize their call center operations and provide greater autonomy to their customers. The company believed that the best way to achieve this was by developing an innovative SMS-based self-help channel. This would allow customers to get the help they need without having to make a call, thereby reducing the load on the call center.
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Accelerating Property Risk Engineering for AXA XL
Risk evaluations are central to the underwriting process as they provide critical information about buildings, factories, production processes and more. Underwriters use this information to evaluate critical risk factors and grade them based on internally established grading standards. While the process itself is relatively straightforward, it is time consuming and leads to scoring inconsistencies due to individual subjectivity. AXA XL Risk Consulting was looking for a solution to help assess their property site surveys and automate the reading and analysis of site survey reports.
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Validating Employment Candidate Expertise and Reputation at Inserm
Inserm, the only public research institute in France dedicated to biological and medical research and human health, faced a challenge in evaluating the quality of job candidates. The institute had to coordinate with up to five external experts to analyze candidates based on their achievements and descriptions of their field of expertise. This process was time-consuming and lacked transparency. Inserm sought an automated solution to verify the expertise of their candidates and shorten the recruitment process.
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Keeping Customers Happy and Self-Service with Semantic Search at ING Direct
ING Direct, a global financial leader offering online banking services, was looking to improve their customer service experience. They wanted to provide timely and accurate responses to customers online before they had to resort to contacting their call center. The challenge was to create a customer communication portal that could understand written customer inquiries and deliver accurate responses. This required a solution that could handle variations in language, including slang and abbreviations.
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Optimize Claims Processing with expert.ai’s New Guidewire Marketplace App
Guidewire, a platform trusted by over 450 insurers worldwide, sought to make claims handling more efficient for insurers with customized workflows and integrations. They aimed to reduce the time spent reviewing documents by 90% by adding human-like language understanding to read and extract the most important details from medical reports automatically. To achieve this, they partnered with expert.ai.
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Content Enrichment Helps Drive Digital Transformation at ISACA
ISACA, a global community of IT professionals, was looking to enhance the user experience for its members by making it easier for them to search across its repository of over 20,000 documents. The organization wanted to enable users to find information at a granular level, down to the exact paragraph. This required the documents and their subsections to be enriched with semantic tags that could be used for search, accessibility, and content recommendations. The challenge was to develop a comprehensive taxonomy that could automatically classify any kind of document, while avoiding the time and expense of manually creating a taxonomy from scratch.
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Automating the processing of medical reports at Plexus Law
Plexus Law, a leading defendant insurance law firm, offers clients a wide range of claims-related legal work, from high volume claims handling to complex, high value litigation. This involves processing large volumes of medical records documentation, including medical history data, test and diagnostic reports, etc. Traditionally, reviewing this information is a complex and labor-intensive activity that requires costly subject matter expertise. The firm sought to apply NLP automation to streamline the review process, aiming to deliver faster processing times, increase scalability and improve the user experience.
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Delivering Highly Customized Content Recommendations at Reed Business Information
Reed Business Information, a specialized provider of industry-specific information and analytics, faced a challenge in ensuring that customers could easily access relevant information in a timely and accurate manner. With a vast amount of content across their portfolio, the company wanted to improve the way customers locate specific topics. The goal was to enhance the quality of their content and make it more accessible for customers who rely on it for important business decisions.
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Smarter and Faster BNL Employees via a Semantic Search Engine and Customized Taxonomy
BNL, a leading Italian bank, was facing a challenge with its internal support and enablement resources. The employees had to manually search for answers to their questions across numerous information sources. This process was time-consuming and inefficient. The bank wanted to establish a more efficient and reliable support process by automating their search and categorization systems.
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