ML-based alerts
Predictive analysis that create new knowledge and help to detect anomalies and new patterns.
Artificial Intelligence for
Underwritting, Claims and Renewal
Fraud Keeper is a digital platform that combines a smart engine of business decisions with machine learning algorithms which detect, mitigate and manage risk and fraud in underwritting and claim operations. Additionally, we use the value of the data to promote cross-selling as well as to predict and manage the outflow of clients.
FEATURES
Amazing Features
Rules-based alerts
Pre-configured set of rules that can be change easily by the business user.
Semantic analisys
Natural language analysis to determine keywords in the reports.
Historical Sources
Detection of connections between actors or other historical patterns.
External Sources
Fast and straightforward integration with many external sources (Social Media, Business Credit Bureaus, etc.)
Plug & Use
A modular approach that ensures a minimal effort of the IT area in implementation and support.
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OUR MODULES
Insurance Value Chain
Our goal is to complement the discoveries of each module to generate a greater value in the different stages of the sequence. For this reason, we work on underwritting risk analysis, claims fraud, renewal outflow, cross-selling and more!
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End-to-End approach
It allows a thorough management of suspicious cases until their resolution. The structure of users and roles admits the segmentation and assignment of the cases according to variables determined by the insurance company; the workflow allows a joint work amongst internal processing and external investigations. The outcome becomes a part of the analytical basis which serves to provide feedback on rules and predictive models.
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HOW DOES IT WORK?
Score = AI + Rules Engine + History
Scoring and alerts based on machine learning, rules engine, comprehensive external sources, historical analysis with anomalies detection and connection between actors.
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FEATURES
Differentiation
OUR
Benefits
PREVENTION
10 times increase in fraud detection ratio and a constant feedback
PRODUCTIVITY
All transactions are processed in real time and false positives are reduced
COSTS
Reduction of claim costs and of human/financial costs involved in the detection process
BUSINESS
Enabler of digital direct sales models and claims payment models in real time
Reviews
Latest News
The leading insurance company in Argentina chooses Fraud Keeper as part of its innovation ecosystem to fight fraud, build savings and improve its portfolio of clients.
The insurance company of "Grupo Petersen" chooses Fraud Keeper as part of its innovation strategy for underwritting and claims operations.
Since last September, the Argentinian insurtech company Fraud Keeper has begun to operate in Spain’s market. The goal of FK is to help insurance companies improve risk analysis during the underwritting process, as well as to avoid the outflow of clients at the time of renewal, and to make an assessment of possible frauds in claims operations…
Innovation and expertise. FK’s main purpose is to enable secure new business models. Digital direct sales as well as immediate claims payment (fast-track) imply a high risk and our goal is to make them safely viable. We assess thousands of transactions in real time combining the automation of business rules with machine learning algorithms, which are mainly specialized in underwritting, outflow of clients and fraud...
Finalists for the Tecnoestrategas Pitch Competition. Expoestrategas Virtual Edition 2020 presents, in the framework of its segment Technostrategies, a competition of technological startups with specific developments for the insurance market.
Implementation
Fast Time To Value
FAST
- Startup in 60 days
- Increased detection in just 120 days
- Business User friendly
- IT minimal efforts
- User Business autonomy
SAFE
- Data protection
- Independent instances
- Structure of roles
- 24/7 availability
- Cloud backup
RETURN
- ROI in six months
- Less false positives
- Higher % of detection
- Lower costs
- Better customer experiences
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