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Solving the double dipping challenge in the insurance industry with blockchain, confidential computing and AI


IntellectEU launched its ClaimShare fraud detection platform for the insurance market to solve the duplicate claims problem (also called double-dipping) by using confidential computing, Corda blockchain and artificial intelligence.

ClaimShare separates claims in public and private data and uses fuzzy matching algorithms to identify suspicious claims, shared on the Corda ledger. Once claims are suspected of being fraudulent, we use Confidential computing to match the private data, confirming the fraud attempt before the second payout happens for the same claim.

The pilot focused on auto insurance in particular, but can easily be replicated for other insurance products.

Want to know more? Read on or email Chaim Finizola at

1. Introduction

Research by Insurance Europe and KPMG has pointed out that in 2017 alone, the total amount of fraudulent claims in Europe is estimated to be 13 billion EUR and that in Ireland, 4% of all claims are found to be fraudulent. The paper concluded that all industry players agree that exchanging data can further improve fraud detection.

Insurers are investing heavily in fraud prevention mechanisms, leveraging the newest technologies to perform deep analytics and identify patterns of fraudulent behavior. Unfortunately, they are limited to their internally-generated data for these purposes. There is no industry data sharing standard and there is no production-grade platform to facilitate industry-wide data sharing given the regulatory constraints of sharing sensitive, personal information.

While insurers would benefit by sharing all fraudulent claims, the lack of collaboration proves to be especially problematic when fraudsters book multiple claims for the same loss event at multiple insurers whilst the payout of one accident (even if insured at different insurers) by law can not surpass the total amount of the loss. This type of fraud is known as double-dipping in the insurance industry.

2. Problem

Double-dipping relates to filing a single claim with two different insurance companies. The payout of one event can not surpass the total amount of the loss. There are multiple situations in which this event takes place:

Collaboration between the different involved parties regarding duplicate payouts for the same claim has always been very challenging. Some initiatives exist with a central party that collects all of the claims at all insurers and can be solicited when the suspected fraudulent activity took place.

The need for a third party that holds so much sensitive information, the need to always have the most up-to-date information and smooth claims query, and recent compliance and legal rulings put this model under pressure.

However, until today, there has not been an industry-wide platform that could solve this challenge. No solution exists that enables the secured data sharing between insurers on a need-to-know basis, whilst simultaneously guaranteeing business privacy and being GDPR compliant. There just hasn’t been a production-ready technology that could unlock this form of collaboration.

Anno 2020, with the recent technological advancements, this is about to change.

We got our heads together and came up with a solution that promises to solve the double-dipping problem using these cutting-edge technologies.

3. Solution

ClaimShare offers a duplicate fraud claim verification solution across insurers, significantly decreasing the number of fraudulent claim payouts. By enabling insurers to put public claims data on the ClaimShare ledger after verification, other insurers can check if their claim has already been paid out at another insurer. This while also providing full business privacy, so that no competitive information is leaked.

In the event that a suspicious claim is detected, i.e. public data of the claim is similar to the public data of one or more claims stored on-chain, the private data is compared using confidential computing. If the private data matches as well, insurers can be sure that it is a fraudulent claim and a second payout to the end-user should not occur.

Matching of the claims happens in two steps:

For public data matching, we use multiple algorithms. These can be optimized and changed using artificial intelligence.

For private matching, we currently only use the exact matching of private data information.

4. Technical Implementation

ClaimShare is designed as a layer below insurers’ current back-office systems, limiting any required changes to the bare minimum. The API-based integration is done by using IntellectEU’s state-of-the-art integration product Catalyst Integration Solution, known for being the preferred integration product for the Contour trade finance network. Each insurer will have a node participating in the network as well as the network operator (Oracle) and the regulator (read-only). The solution can run both in the cloud as well as on-site using IntellectEU’s deployment and management tooling Catalyst Blockchain Platform.

There are various arguments why we are convinced that Corda is the best protocol choice for this particular use case:

5. Enhancements and Possibilities

We have proven the solution for auto insurance today. However, ClaimShare can be extended to additional insurance products including health, theft, and damage claims and used cross-insurance products.

6. Insurtech challenge

The ClaimShare idea originated as a result of the Insurtech challenge organized by R3 and B3i with the goal to come with a Corda-based solution that could help insurers collaborate in an effort to combat fraud.

The competition was divided into three parts, where we first had to be selected based on the value proposition of the solution, the market fit, and the pitch. This gave us the opportunity to look into the business problem, talk to insurance experts, and validate the idea before moving forward. In the second phase, we focused on the business model, the solution design, the go-to-market strategy, and showcased a clickable demo of ClaimShare, which gave us the chance to demo the application during R3’s yearly flagship event, Cordacon 2020. During the final phase, we were tasked with creating a working pilot of the solution, showcasing our development capabilities and proving our technical approach.

During this phase, our team of engineers (AI, Corda, confidential computing) delivered a fully working pilot in just five weeks, once again proving IntellectEU’s technical excellence and experience in the emerging technologies space. For the business case, we partnered with KPMG leveraging their insurance expertise on claim handling and fraud detection.

We are delighted to have participated in this challenge and would advise any other team thinking about participating to definitely do so in the future. We have received a great deal of business and technical feedback from R3’s team and partners and overall had a lot of fun working on ClaimShare.

Would you like to know more about the solution? Interested in watching our demo? Don’t hesitate to reach out to Chaim Finizola at

7. IntellectEU

IntellectEU is an international technology company focused on digital finance and emerging technologies. Since 2006, we have been focused on financial messaging and integration, being a SWIFT service partner. Building on our rich experience in financial services and technology, we founded our DLT and blockchain tribe in 2014. Always pioneering to serve our clients best, we became a founding member of Linux Foundation’s Hyperledger in 2016. Today, we are working with all leading blockchain providers (R3 Corda, DAML, Hyperledger, VMWare, IBM) in the banking, insurance, capital markets, and telco space. Apart from blockchain and DLT, we’re also venturing into artificial intelligence and quantum computing by educating our clients and building products with them.



Digital Finance & Emerging Technologies

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Chaim Finizola

Leading BDM in emerging markets at IntellectEU, a fintech specialized in emerging technologies. Contact: