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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

Pai-1

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)

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)

During the period of January to November 2012, 218 fraud cases have been identified, analyzed and rejected generating savings for the company of over €230,000 with only 4 active licenses of InTone.ai Risk (average savings of over 5,750 Euros per seat/per month). 

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.

Nemesysco Ltd is proud to present the most efficient technology there is for voice analysis. Please contact us for more details.
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InTone.ai Risk

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Nemesysco Ltd
2 Ha’ofe St., POB 5059
Kadima Industrial Park, Kadima, Israel
Postal Code: 6092000

Tel: +972-9-9605894
(English-International call)
Fax: +972-9-8853782