RA7 - Case Studies

Typical case scenario - InTone.ai Risk Case studies

Based on accumulated data from Intone.ai Risk systems around the world

Risk by total claims opened

InTone.ai Risk Fraud prevention solution

Small claims real-time negotiation (Slovakia, 2013)

With InTone.ai Risk installed in 2013, it was discovered that small value claims present higher risk in percentage compared to high value claims. Until the InTone.ai Risk implementation, the company did not check about 40K EU in monthly payouts. InTone.ai Risk revealed that 44% of these small claims contain ellements of fraud and exaggraed claims.

RA7 Fraud Detection Solution accuracy test

Earth quake damages (Hungary, 2011)

A case study evaluated claims recived following a 4.3 magnitude earthquake in Hungary on Saturday, January 29, 2011 at 17:41.

The day after the earthquake: 163 claims were submitted over the phone with the company. The RA7 results revealed the followings:

The further away from the epicenter of the quake – the more fraudulent claims were recorded
RA7 Operators were able to handle and defeat the identified fraudulent claims using real-time negotiations over the phone
119 claims were found to be truthful & 44 claims (27%) to be fraudulent

InTone.ai Risk Fraud Detection Solution accuracy test

Earth quake damages (Hungary, 2011)

A case study evaluated claims recived following a 4.3 magnitude earthquake in Hungary on Saturday, January 29, 2011 at 17:41.

The day after the earthquake: 163 claims were submitted over the phone with the company. The InTone.ai Risk results revealed the followings:

The further away from the epicenter of the quake – the more fraudulent claims were recorded
InTone.ai Risk Operators were able to handle and defeat the identified fraudulent claims using real-time negotiations over the phone
119 claims were found to be truthful & 44 claims (27%) to be fraudulent

InTone.ai Risk Fraud prevention solution

Risk cases by type of claims (Spain, 2012)

RA7 Fraud prevention solution

at Censeo Risk Management (South Africa, 2014)

During 2014, Censeo analyzed a total of 30,000 insurance claims, which were flagged as “Risk” by Predictive Analytics systems at insurance companies and sent to Censeo.
Using RA7 to conduct short interview with claimants, about 20,000 claims (70%) were found to be “Low Risk” and decision was made not to investigate further.

This improved customer service to the rightful claimants, as well as saving just about $15,000,000* in travels and expenses.

*Based on $750 investigation cost per case.

Intone.ai Risk Fraud prevention solution

at Censeo Risk Management (South Africa, 2014)

During 2014, Censeo analyzed a total of 30,000 insurance claims, which were flagged as “Risk” by Predictive Analytics systems at insurance companies and sent to Censeo.
Using InTone.ai Risk to conduct short interview with claimants, about 20,000 claims (70%) were found to be “Low Risk” and decision was made not to investigate further.

This improved customer service to the rightful claimants, as well as saving just about $15,000,000* in travels and expenses.

*Based on $750 investigation cost per case.

Typical case scenario - InTone.ai Risk Case studies

Based on accumulated data from Intone.ai Risk systems around the world

Risk by total claims opened

Risk by total claims opened

Risk by total claims opened

Risk by total claims opened

InTone.ai Risk Fraud prevention solution

Small claims real-time negotiation (Slovakia, 2013)

RA7 Fraud Detection Solution accuracy test

Earth quake damages (Hungary, 2011)

InTone.ai Risk Fraud Detection Solution accuracy test

Earth quake damages (Hungary, 2011)

InTone.ai Risk Fraud prevention solution

Risk cases by type of claims (Spain, 2012)

RA7 Fraud prevention solution

at Censeo Risk Management (South Africa, 2014)

Intone.ai Risk Fraud prevention solution

at Censeo Risk Management (South Africa, 2014)

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