A method including: receiving one or more datasets indicating call activity corresponding to a phone number; analyzing the one or more datasets to identify unusual call activity; and generating a fraud prediction, based at least in part on the identified unusual call activity, that the phone number will be used for fraud.

A method including: receiving a user report dataset indicating fraudulent activity corresponding to a phone number; responsive to receiving the user report dataset, identifying a record in a database corresponding to the phone number; and tagging the record to identify the phone number as being associated with fraudulent activity.

A method including: receiving a user report dataset indicating fraudulent activity corresponding to a phone number; responsive to receiving the user report dataset, identifying a record in a database corresponding to the phone number; and tagging the record to identify the phone number as being associated with fraudulent activity.

Novel tools and techniques are provided for implementing call center-based automated interface between call center agents and network orchestration systems, in some cases, via application programming interfaces (APIs). In various embodiments, an automated services platform may collect, from data sources, data associated with services provided by a service provider. The collected data may be autonomously analyzed to identify any issues with provisioning a service(s) to a customer. If so, one or more automation actions may be autonomously identified to address the determined issue(s). The automated services platform may autonomously send instructions to automation bots to perform the identified one or more automation actions, and may generate and present a UI on a user terminal operated by a user, the UI displaying information regarding at least one of the at least one issue, the affected service(s), the identified one or more automation actions, or the automation bots, and/or the like.

Novel tools and techniques are provided for implementing call center-based automated interface between call center agents and network orchestration systems, in some cases, via application programming interfaces (APIs). In various embodiments, an automated services platform may collect, from data sources, data associated with services provided by a service provider. The collected data may be autonomously analyzed to identify any issues with provisioning a service(s) to a customer. If so, one or more automation actions may be autonomously identified to address the determined issue(s). The automated services platform may autonomously send instructions to automation bots to perform the identified one or more automation actions, and may generate and present a UI on a user terminal operated by a user, the UI displaying information regarding at least one of the at least one issue, the affected service(s), the identified one or more automation actions, or the automation bots, and/or the like.