Automate client experiences such as claims processing, policy management, premium payments, and insurance quotes. Help your customers find the correct quote and right product based on their specific needs and information in just a few minutes. Integrate with backend systems to create claim tickets and speed up claims management
Understand the Use-case under 5 minutes
Video (2 minutes)
See how Lemonade App is using Conversational AI to fully automate many insurance actions like choosing a policy, filing a claim, asking questions, and more
Watch
Article (6 minutes)
A great introduction to the topic, including major use-cases and customer case studies
Read
Article (4 minutes)
Google and Genesys are partnering to transform how businesses put AI into practice and personalize customer relationships with Contact Center AI, which includes smart Virtual Assistants
Watch
Get to know more Business and Technical details about the use-case (15-30 minutes)
More detailed introduction covering business and technical aspects
Article (15 minutes)
A comprehensive introduction to conversational AI in insurance – from the various use cases, how they work, how to plan their implementation in your organization and what further advancements we can expect in the future
Read
Article (11 minutes)
A great guide covering the following topics: insurance chatbots and their role in the insurance industry, main features, and major use-cases
Read
White Paper (9 minutes)
5 reasons insurers should turn to automation, 7 customer service processes insurance providers should automate with chatbots, all summarized elegantly with examples
ReadCase studies, Organizational Aspects, Return on Investment examples
Case Study
Find out how Zurich insurance combats large volumes of users' queries and delivers immediate customer support without scaling their support team using Haptik
Read
Case Study
Haptik built Kaya, an Intelligent Virtual Assistant for KLI which enabled them to handle 71% of routine queries such as viewing Premium Due Date, Paying Premium, Fund Details, etc. enabling agents to focus on high-touchpoint customer issues
Read
Case Study
A global Insurance company deployed a customer-facing chatbot in two weeks, addressing the need for their customers to access immediate and relevant information about the coronavirus.
ReadMore details on the technical aspects of the use-case
Technical resources that will help you implement the use-case (notebooks, tutorials..)
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You can build chatbots using those easily configurable services: AWS Lex for Insurance, Microsoft Bot Framework, Azure Bot Service, Google DialogFlow, and IBM Watson Assistant. Each page includes hands-on resources
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In this post, we review how you can use a pre-built solution with Amazon Lex to enable rich, customized interactions so insurers can provide faster handling of payments processing, claims reports, policy updates, and policy quotes.
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Article + Github Repo
Tutorial about how you can use Transfer Learning to build a State-of-the-Art dialog agent based on Open AI GPT and GPT-2 Transformer language models
VisitGithub Repo
ChatterBot is a machine-learning-based conversational dialog engine built-in Python which makes it possible to generate responses based on collections of known conversations.
VisitGithub Repo
The starter pack demonstrates a few different areas where a Rasa assistant can help with insurance-related functions, getting information for an insurance quote, handling common tasks like ordering a new ID card, and helping customers manage their claims.
VisitGithub Repo
Building a chatbot that can query the Root Insurance API and can be made available across multiple different chat interfaces, like Facebook, Slack, and Google Assistant, using Natural Language Processing (NLP).
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Video (33 minutes)
In this tutorial, you will learn how to build a healthcare chatbot for chronic kidney disease step by step using collab.
WatchGithub Repo
insurance-bot: UI that provides a chatbot interface for users to query their health benefits and file claims. insurance-bot-dashboard: a user interface showing the history of the bot chats for further analysis.
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Data Sets you can use to build Demos, POCs, or test Algorithms
Amfam chatbot intent dataset (ACID) contains 174 unique intents related to topics driven by customers contacting an insurance company. Each intent represents a particular course of action for the chatbot.
Off-the-Shelf Products using AI for Insurance Virtual Assistants
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