AI for Insurance

Design the best risk analytics framework and offer your clients faster and customized claims settlements.

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AI systems are ubiquitous and showing tremendous successes in various fields of our everyday life. The insurance industry is definitely ripe for AI disruption. With the development of Artificial Intelligence, the insurance industry will fundamentally change the way it does business. From effective collection and restoration of big data from and to the customers to automated chatbots, automatic interventions for inspection, maintenance, and repair of the claims.

In order to get there, Fusemachines provides you with a set of Data Scientists, AI Engineers, and dedicated consultants.

Make AI Work For Insurance Company

Artificial Intelligence is currently being deployed in customer service to both augment and replace human agents – with the primary goals of improving customer experience and reducing human customer service costs. AI is helping to augment the work of human customer service representatives for sorting and routing support inquiries, for enhanced phone support, etc. Our engineers who are skilled in ML and AI can help your team build the chatbots for messaging and customer support inquiries.


Insurance is driven by data. Data is fast becoming one of the most valuable asset for any organization. The insurance industry is no different; how carriers identify, quantify, place, and manage risk is all predicated on the volume and quality of data they acquire during a policy’s lifecycle. AI technologies will perform best when they have a high volume of data from a variety of sources. Our AI engineers can help you with the collection and reallocation of all the segregated big data from internal and external resources with the help of automation and ML.

Automated Claim Support

As we know, AI and more specifically automation is being used to improve efficiencies in claims processing and management. Our AI experts can help you leverage ML and automated process that helps to recognize patterns in large amounts of customer data where the claim can be settled automatically without human intervention.

Make Dialog Modeling and Chatbot

Dialog modeling is used for building dialog systems and finding its applications in various business enterprises like healthcare, education, entertainment, etc.

Some use cases include:

Answering customer questions about products and services


Facilitating transactions through guidance in the sales process


Responding to Customer questions


Website navigation: Guiding customers to relevant portions of complex websites.


Personalized services. For eg: answering questions related to orders, bookings, etc.

We help build and incorporate dialog systems into applications that can benefit your business from a dialog based approach.

AI for Insurance at Fusemachines
Document Classification and Clustering

Document classification or document categorization is a problem in library science, information science, and computer science. The task of document classification is to assign a document to one or more classes or categories. This can be done "manually" (or say "intellectually") or algorithmically.

Our engineers can help you figure out the ontology of the document classes; work with your team to clean the data and build scalable classification solutions that can be used for classifying variety of documents from emails, user manuals, news, chats, etc.

Information Retrieval

Information Retrieval is the technique of obtaining structured or unstructured data that can satisfy information need from within a large pool of data stored in computers.

We can perform full-text information retrieval or build specific content based indexing. Depending on the requirements, we can build models for text documents, images, audio, mind maps or videos.