Automation of the Claims Gathering for Insurance
We are building a multi-service system which will essentially allow users to fill out the insurance claims.
Insurance companies will be able to pass their clients over to our service to easily fill out the claim by themselves or with help of a company agent.
There are additional services used to make the claim filing more comfortable: medical appointment booking, number plate recognition, fetching vehicle data by its number plate, knowledge base (help service at any point of claim filing process), connection with live agent (like Intercom) inside the chat flow, Google Maps to easily set accident locations, address and more.
Duration: since June – ongoing
Web widget allows users to create the claim.
SMS Twillio provides notification mailing to user.
Administration part provides setting up the claims, new companies addition and manage the access.
Alexa voice bot allows users to create the claim via voice.
Business Process Management System allows to discover, model, analyze, measure, improve, and optimize claims gathering processes.
BotKit – open source platform were used to build bots with inbuilt Socket server.
OpenKB is a search based Knowledgebase (FAQ) backed by Lunr.js indexing to check created before the list of questions in Watson IBM.
Watson IBM – is a question-answering computer system capable of answering questions posed in natural language.
Corezoid – the cloud OS that was used to track users’ activity and send a notification regarding incomplete claims.
Twilio – the cloud communication platform that was used for SMS notification regarding incomplete claims.
AWS Recognition – was used as a deep learning-based service for car’s number picture recognition.
Intercom – is the messaging platform that provides online chatting insurance agents with clients.
Onfido – online platform that was used to verify people’s identities using a photo-based identity document.
The client sends the features which are discussed with the development team. After the detailed request, the developers map out a plan of development and start the working process.
Then the team starts implementation of frontend and backend parts of the bot.
When that part of the solution is ready we conduct internal and external testing.
Our team built the bot that gathers and passes processing clients’ insurance claims. It simplifies engagement between insurance representatives and the claimant. There is no need to fill out long and complex document paper – the bot makes it by itself.
There are additional services used to make the claim filing more comfortable: medical appointment booking, number plate recognition, fetching vehicle data by number plate, knowledge base (help service at any point of claim filing process), connection with live agent (like Intercom) inside the chat flow, Google Maps to easily set accident locations, address and more.