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Slow incident response
Frequent failures and cumbersome handling procedures affect the stable operation of the business?
The problem is difficult to eradicate
Lack of effective root cause analysis causes similar problems to recur, wasting IT resources?
High risk of change
Are change processes not standardized and insufficiently evaluated, leading to unexpected disruptions or accidents?
Poor service experience
The response is not timely, the processing process is not transparent, and user satisfaction is low?




Smart bill of lading and dispatch
Supports multiple bill of lading methods (including voice and pictures), combined with automated rules or AI, to quickly record and assign events to the appropriate handlers
Full visual tracking
From incident reporting to resolution and closure, real-time progress is monitored, and the intelligent assistant provides timely reminders of key nodes.
AI-assisted quick solution
Leveraging knowledge base and AI analysis to provide diagnostic recommendations, accelerate service recovery, and shorten mean time to resolution (MTTR)

Correlation analysis and visualization
Automatically correlate related events and configuration items to form a panoramic view of the problem, making it easier to identify the root cause
Intelligent root cause exploration
AI-assisted analysis of historical data and patterns provides potential root causes and solution suggestions, improving resolution efficiency
Knowledge accumulation and improvement
Record effective solutions and workarounds in the knowledge base, implement preventive measures, and continuously improve service stability

Standardization and classification management
Supports standard, emergency, routine and other change types, and configures flexible approval processes to meet the needs of different scenarios
Risk Assessment and Automation
Built-in risk assessment model, combined with automated workflow to execute change tasks, reduces human errors and improves change success rate
Transparent traceability and auditing
Completely record the entire change process (from application to assessment, approval, implementation, and review) to support compliance checks

Service Catalog and SLA
Provide a clear service catalog for users to choose from, set clear service level agreements (SLAs) to ensure that promises are fulfilled
Automation and intelligent dispatch
Automatically handle common, low-risk service requests and efficiently allocate processing resources through intelligent rules
Data-driven experience optimization
Centrally manage and analyze service request data to identify improvement opportunities and continuously enhance user experience
Incident Management
Problem Management
Change Management
Service Request Management
Knowledge Management
Service Level Management
Configuration Management
Service catalog management
Intelligent Assistant
Smart Bill of Lading
Smart Recommendations
Intelligent work order allocation
AI-assisted operation and maintenance suggestions
Smart Summary
Smart Quality of Service Check
Intelligent knowledge accumulation