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The Ticket Categorization Agent is designed to automate the initial step of the help desk support process by categorizing incoming support tickets according to their issue type. This agent employs generative AI to perform text analysis on the content of each ticket, allowing it to intelligently categorize issues into predefined groups such as hardware, software, and network-related problems. This capability significantly reduces the manual effort traditionally required for ticket review and categorization, enabling support staff to prioritize tasks more effectively. By ensuring that tickets are accurately routed to the right support team or technician, the agent improves the response time, leading to a more streamlined and efficient IT support process.
Accuracy
TBD
Speed
TBD
Sample of data set required for Ticket Categorization Agent:
Ticket ID | Ticket Description | Submitted Date |
---|---|---|
TKT101 | The laptop is not turning on. | 10/1/2024 |
TKT102 | Unable to connect to the Wi-Fi network. | 10/2/2024 |
TKT103 | Software installation is failing. | 10/3/2024 |
TKT104 | Printer is not working. | 10/4/2024 |
TKT105 | Cannot access the company VPN. | 10/5/2024 |
Sample output delivered by the Ticket Categorization Agent:
Ticket ID | Ticket Description | Submitted Date | Category | Confidence Score |
---|---|---|---|---|
TKT101 | The laptop is not turning on. | 10/1/2024 | Hardware | 0.9 |
TKT102 | Unable to connect to the Wi-Fi network. | 10/2/2024 | Network | 0.9 |
TKT103 | Software installation is failing. | 10/3/2024 | Software | 0.9 |
TKT104 | Printer is not working. | 10/4/2024 | Hardware | 0.9 |
TKT105 | Cannot access the company VPN. | 10/5/2024 | Network | 0.9 |
Automates the monitoring of Service Level Agreements (SLAs), ensuring that IT services meet agreed-upon performance metrics and alerting teams when SLAs are breached.
Automatically generates detailed code documentation from the source code, ensuring that developers have access to accurate and up-to-date documentation.
Monitors network performance and automatically sends alerts when downtime or performance degradation is detected.
Analyzes ticket severity and urgency, automatically recommending escalation paths to ensure that high-priority issues are handled by the appropriate teams.
Automates the management and optimization of self-service IT portals, ensuring that users can resolve common issues without needing direct IT support intervention.
Monitors server performance in real time, generating alerts when server resources are strained or performance degrades.