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Predicting fraud
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Module
Predicting fraud
1 Rubrique
15 mins
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Occasionally, an insurance claim might be erroneous or even fraudulent. To detect fraud and optimize the way in which the application routes work and...
Predicting missing the Service-Level Agreement
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Module
Predicting missing the Service-Level Agreement
1 Rubrique
10 mins
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Pega Process AI™ can help to distinguish regular from complex claims. Complex claims often escalate into a lengthy process, which is not only costly...
Presenting suggestions for agents
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Module
Presenting suggestions for agents
4 Rubriques
35 mins
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During customer interactions, CSRs receive suggestions through notification cards in the Interaction Portal of Pega Customer Service™. They represent...
Configuring a data source
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Défi
Configuring a data source
1 Tâche
15 mins
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As a system architect, there is a requirement for the contact identifier to be used in dialogs in the Contact category. You have been tasked with...
Configuring business conditions
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Défi
Configuring business conditions
2 Tâches
5 mins
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U+ Bank identifies that many customer are missing their payment due dates, resulting in late fees and negative impact on their credit score. To...
Creating a case completion prediction
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Défi
Creating a case completion prediction
3 Tâches
15 mins
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U+ Insurance implements Pega Process AI™ to optimize case automation. The business wants to predict whether an incoming claim has a low probability of...
Creating a fraud prediction
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Défi
Creating a fraud prediction
3 Tâches
15 mins
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U+ Insurance routes incoming car insurance claims for straight-through processing when the amount of a claim is under a set limit. If the amount of...
Integrating external customer service data
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Défi
Integrating external customer service data
5 Tâches
30 mins
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A REST service has been created to access contact data for a customer. Your task is to access that data to replace the sample data.
Use the following...