PATENT CLAIM ANALYSIS

Application Number: 16014837
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["379", "088020"]

Abstract:
A call screening computing system is described that is configured to perform voice captcha and real-time monitoring of calls into a contact center of an organization. The call screening computing system includes a chat bot configured to operate as an AI-based call screener. The chat bot is configured to perform voice captcha by sending a random question to a user device placing a call into the contact center, and analyzing the received answer to determine whether a user of the user device is human or a robot. The chat bot is configured to, based on the user being human, determine whether the user is a legitimate customer of the organization by generating and presenting authentication challenges to the user device. The chat bot may be configured to monitor and interact with a conversation between the user and an agent of the organization during the call into the contact center.

Claim (Index 13):
A computing system comprising:\n one or more storage units; and one or more processors in communication with the storage units and configured to:\n receive, from a user device, a call into a contact center of an organization, wherein the call requests access to an account of a customer at the organization; \n prior to authenticating a user of the user device as the customer of the organization, send, to the user device, a random question; \n receive, from the user device, an answer to the random question; \n determine that the user of the user device is human and not a robot based on an analysis of the received answer; \n based on the user being human, generate one or more authentication challenges based on a customer profile for the customer of the organization; and \n present, to the user device, the one or more authentication challenges used to authenticate the user of the user device as the customer of the organization.

Metadata:
- Claim Count in Document: 65.0
- Percentile: 94.0
- Lexical Diversity: 2.30882
- Patent Class: 379.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16000453', '15905318', '14726796', '14828394', '13669384']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5200701634373759
- 35 USC 102 Novelty (BERT): 0.4939866402715065
- Combined Prediction Score: 0.5174618111207889
- Mean Citation Score: 213.3859
- Max Citation Score: 260.80048
- Similarity Product: 185.9108072162437

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test