AI-Powered Issue and Remediation Management

Capture detailed information about each issue, and categorize it based on pre-defined criteria and severity levels. Leverage AI/ML model to intelligently identify issues based on their attributes, relevance, relationship with known issues, and criticality, and recommend issue classification based on historical data.

Automatically route the issue to an approver based on pre-configured workflows for review, approval, and resolution, along with supporting documents. The approver can cancel the issue if the issue is found to be inconsistent or invalid. Users can also classify issues as confidential where only a set of predefined and authorized users will see the issues and related data.

Review and accept automatically generated action plans using AI/ML capabilities. Capture all details of the action plan, route it for approval, and then send it to the pre-defined action plan owners. You can also suggest an action plan during the issue creation/initiation stage without going through the approval process. Enable effective collaboration among team members on ongoing issues by allowing them to provide comments/feedback. Systematic workflows are predefined to capture information on implementation, approval/rejection, closure/follow-up, and clarification.

Enhance enterprise-wide visibility into issue and remediation management processes with executive dashboards and reports. With drill-down capabilities and rapid identification of high-priority issues that need to be addressed, viewers can gain real-time visibility into the issue and exception data for trend analysis. Issues can be tracked easily with issue triaging and status and action plan reports. Reports and dashboards can be easily configured in the system to meet customer-specific business requirements.