What does Chi AI Do?
Identify the root cause of an IT incident automatically with AI
Chi AI automates incident analysis, impact assessment, and root cause identification in complex hybrid cloud environments, reducing MTTR by 50%.
What does Chi AI Do?
Identify the root cause of an IT incident automatically with AI
Chi AI automates incident analysis, impact assessment, and root cause identification in complex hybrid cloud environments, reducing MTTR by 50%.
How Automated Root Cause Analysis Works
Chi AI finds and explains the reasons behind IT issues and suggests actions to fix them in real-time.
Identify the change-related root cause of an incident, and automatically uncover root causes
⟣ Advanced AI identifies high-confidence alerts and change data matches
⟣ Provides a comprehensive view of statistically important changes causing incidents
⟣ Chi AI understands interrelated distributed IT systems
⟣ Enables Generative AI to automate root cause analysis for active incidents
⟣ Explains probable reasons behind the incidents
Confidently identify and explain impact across IT systems
⟣ Chi AI Generative AI explains root causes and
impacts of incidents
⟣ Provides insights across interrelated IT systems
⟣ Presents information in a natural, easy-to-
understand manner
Detect IT problems using the right information
⟣ Chi AI correlates alerts from hybrid cloud
deployments
⟣ Utilizes change, topology, and available CMDB data
⟣ Constructs actionable and contextually rich
incidents in real-time
Determine the change that triggered an incident, and stay informed in real-time
⟣ Visualize the full history of alerts chronologically for incident analysis
⟣ Provide rapid, accurate, high-value analysis in natural language
⟣ Chi AI exposes important incident details
⟣ Automatically generates and populates titles and descriptions for ITSM and chat
tools
How Automated Root Cause Analysis Works
Chi AI finds and explains the reasons behind IT issues and suggests actions to fix them in real-time.
Identify the change-related root cause of an incident, and automatically uncover root causes
⟣ Advanced AI identifies high-confidence alerts and change data matches
⟣ Provides a comprehensive view of statistically important changes causing incidents
⟣ Chi AI understands interrelated distributed IT systems
⟣ Enables Generative AI to automate root cause analysis for active incidents
⟣ Explains probable reasons behind the incidents
Confidently identify and explain impact across IT systems
⟣ Chi AI Generative AI explains root causes and
impacts of incidents
⟣ Provides insights across interrelated IT systems
⟣ Presents information in a natural, easy-to-
understand manner
Detect IT problems using the right information
⟣ Chi AI correlates alerts from hybrid cloud
deployments
⟣ Utilizes change, topology, and available CMDB data
⟣ Constructs actionable and contextually rich
incidents in real-time
Determine the change that triggered an incident, and stay informed in real-time
⟣ Visualize the full history of alerts chronologically for incident analysis
⟣ Provide rapid, accurate, high-value analysis in natural language
⟣ Chi AI exposes important incident details
⟣ Automatically generates and populates titles and descriptions for ITSM and chat
tools
Incidents with rich metadata.
Potential of Incident Intelligence
Integration of Topology: Gather and display topology data from multiple sources in your CMDB, APM tool, or other repositories.
Incident Enrichment: Enhance incidents with business-related information, like severity and priority, for quick prioritization.
Categorization: Organize incidents into different categories based on source, location, and organizational criteria for swift identification.
Change Management: Centralize multi-source change data and use AI for automated root cause analysis.
Incidents with rich metadata.
Potential of Incident Intelligence
Integration of Topology: Gather and display topology data from multiple sources in your CMDB, APM tool, or other repositories.
Incident Enrichment: Enhance incidents with business-related information, like severity and priority, for quick prioritization.
Categorization: Organize incidents into different categories based on source, location, and organizational criteria for swift identification.
Change Management: Centralize multi-source change data and use AI for automated root cause analysis.
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