Use predictive models to automate risk management across the IT environment. Forecast
SLA breaches, major incident escalations, change request failures, and configuration item
criticality by using real-time data. Identify high-risk records, trigger proactive responses,
and use data-driven scores to prioritize tasks and improve service stability.
Required Editions
| Available in: Lightning Experience |
| Available in: Enterprise, and Unlimited Editions with Einstein for
IT Services add-on, and AI Accelerator for IT Services add-on. |
- Monitor SLA Breach Prediction Card
Forecast SLA breach probabilities by using machine learning and real-time data analysis. Use the resulting scores, ranging from 0 through 100, to prioritize urgent tasks, manage critical issues, and improve service reliability.
- Monitor Major Incident Prediction Card
Forecast whether an incident is likely to escalate to a major incident by using machine learning to analyze real-time data and historical patterns. Use the resulting risk scores to initiate response protocols early and reduce business impact.
- Monitor Change Risk Prediction Card
Forecast the risk of a change request failing by using machine learning to generate a score from 0 through 100. Use these data-driven scores to replace subjective assessments with a consistent process that improves IT stability.
- Monitor Configuration Item Criticality Prediction Card
Forecast configuration item (CI) business criticality by using machine learning, CMDB dependency, and incident data analysis. Use the resulting scores, ranging from 0 through 100, to prioritize incidents, improve change risk decisions, and focus resources on the most business-critical assets.
