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 have produced tremendous successes in various fields of our everyday life. The insurance industry is ready to be transformed by AI innovations.. From effective collection and restoration of big data from and to the customers, to automated chatbots, to automatic interventions for inspection, maintenance, and repair of claims, AI innovations will fundamentally change the way the insurance industry does business.

In order to bring these innovations to your business, Fusemachines provides you with a set of data scientists, AI engineers, and dedicated consultants.

Make AI Work For Your Insurance Company

Artificial Intelligence is currently being deployed in customer service to both augment and replace human agents – toward 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 chatbots for messaging and customer support inquiries.


Insurance is driven by data. Data is fast becoming one of the most valuable assets 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 processes that help 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 their applications in various business enterprises like healthcare, education, and entertainment.

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 such as answering questions related to orders and bookings.

We help build dialog systems and incorporate them 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 and work with your team to clean the data and build scalable classification solutions that can be used for a variety of documents such as emails, user manuals, news, and chats.

Information Retrieval

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

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.