Abstract: An automated agent may communicate with a user via a chat channel to proactively alert the user of an L1 IT support issue. The L1 IT support issue may be determined based on monitoring indications of human-initiated activities maintained by a system of record, and may, prior to the automated agent's alert, be unknown to the user. In some instances, a natural language understanding (NLU) module may be used to identify an entity and intent from the indications of human-initiated activities, and the L1 IT support issue may be determined based on the determined entity and intent. After alerting the user of the L1 IT support issue, the automated agent may inform, via the chat channel, the user of a remediation step available to address the L1 IT support issue. Upon obtaining the user's permission, the automated agent may perform the remediation step to address the L1 IT support issue.

Abstract: An automated agent may communicate with a user via a chat channel to proactively alert the user of an L1 IT support issue. The L1 IT support issue may be determined based on monitoring indications of human-initiated activities maintained by a system of record, and may, prior to the automated agent's alert, be unknown to the user. In some instances, a natural language understanding (NLU) module may be used to identify an entity and intent from the indications of human-initiated activities, and the L1 IT support issue may be determined based on the determined entity and intent. After alerting the user of the L1 IT support issue, the automated agent may inform, via the chat channel, the user of a remediation step available to address the L1 IT support issue. Upon obtaining the user's permission, the automated agent may perform the remediation step to address the L1 IT support issue.

Abstract: A multi-domain chatbot is used to service a message of a user. An automated agent of the multi-domain chatbot may act as an intermediary between the user and a plurality of domain-specific modules of the multi-domain chatbot. The automated agent may receive the message from the user, determine an intent of the message, and based on the intent, determine a group of the domain-specific modules that should be investigated. The automated agent may then investigate the group of domain-specific modules by sending the user message to and receiving responses from the domain-specific modules within the group. Based on the received responses, the automated agent may determine whether to provide, to the user, one of the domain-specific responses or a null response, in the event that none of the domain-specific responses is aligned with the intent of the message.

Abstract: An automated service agent may be used to service issues discussed by users of a group communication channel. In the process of servicing the issue, the automated service agent may differentiate the roles of the users and identify a requester of the issue. In one scenario, the automated service agent may contact the requester in a private communication channel to collect more detailed or private information from the requester. The issue may be resolved in the private communication channel with the requester. Information may be posted back to the group communication channel to inform the other users as to the successful resolution of the issue and how the issue was resolved. While communicating with the requester in the private communication channel, messages may be posted to the group communication channel to keep the other users up to date on the progress of resolving the issue in the private communication channel.

Abstract: An automated agent may communicate with a user via a chat channel to proactively alert the user of an L1 IT support issue. The L1 IT support issue may be determined based on monitoring indications of human-initiated activities maintained by a system of record, and may, prior to the automated agent's alert, be unknown to the user. In some instances, a natural language understanding (NLU) module may be used to identify an entity and intent from the indications of human-initiated activities, and the L1 IT support issue may be determined based on the determined entity and intent. After alerting the user of the L1 IT support issue, the automated agent may inform, via the chat channel, the user of a remediation step available to address the L1 IT support issue. Upon obtaining the user's permission, the automated agent may perform the remediation step to address the L1 IT support issue.

Abstract: A multi-domain chatbot is used to service a message of a user. An automated agent of the multi-domain chatbot may act as an intermediary between the user and a plurality of domain-specific modules of the multi-domain chatbot. The automated agent may receive the message from the user, determine an intent of the message, and based on the intent, determine a group of the domain-specific modules that should be investigated. The automated agent may then investigate the group of domain-specific modules by sending the user message to and receiving responses from the domain-specific modules within the group. Based on the received responses, the automated agent may determine whether to provide, to the user, one of the domain-specific responses or a null response, in the event that none of the domain-specific responses is aligned with the intent of the message.

Abstract: Method, system and computer program product for facilitating task automation at an IT service desk associated with an enterprise are disclosed. A user interface (UI) is provisioned to a user to enable the user to provide a request in a natural language form to the IT service desk. A virtual agent engages in a natural language interaction with the user on the UI and interprets the request from the natural language interaction. The request is mapped to a set of pre-determined actions based on the interpretation of the request and an execution of the set of pre-determined actions is effected to facilitate resolution of the request provided by the user.

Abstract: Method, system and computer program product for facilitating query resolution at a service desk associated with an enterprise are disclosed. A user interface (UI) is provisioned to a user to enable the user to provide a query to a virtual agent. The virtual agent engages in an interaction with the user to determine whether the query is a service request or an incident. If the query is determined to be a service request, then a service request form is updated based on the interaction. The updated service request form is routed to a resolver queue identified to be relevant to the service request. If the query is determined to be an incident, then a reply to the query is identified from a knowledge base and the reply is provisioned to the user using the UI.