Reduce IT change-related operational disruptions
IT Change Risk Prediction

Reduce IT change-related operational disruptions

See how Numerify helps IT Change Management teams with:
  • The high cost of IT change failure
  • Infrequent IT change cadence
  • Making sense of constantly evolving IT environments
  • Unreliable IT change risk prediction and management methodologies
  • Numerous and complicated dependencies
  • Inexperienced change implementers
Do you know which IT changes will fail?
IT leaders are under constant pressure to be more responsive to changing business needs. However, the cost of failed IT changes can be high. While you may know that some deployed changes will fail, what you often don’t know is which ones — until it’s too late. In fact, a recent Gartner study estimates that 80% of major incidents are change-related. The Numerify IT Change Risk Prediction solution helps you identify risky changes and proactively take steps to manage and reduce risk or prepare immediate remediation. Investigate and uncover systemic causes of IT change failure that span people, processes, and technology. Use the built-in AI / Machine Learning models to manage and reduce change failure rates and associated incident Mean-Time-To-Resolution (MTTR).
See how your IT change management teams are performing, spot high-level trends at a glance, and identify teams that need assistance. Compare and benchmark team performance against standard KPIs.
IT change sucess metrics
Improve the productivity of IT change processes by allowing stakeholders to focus on truly risky changes rather than laboriously reviewing all of them.
IT change Credit score
Formulate hypotheses about the upstream causes of IT change failure in application development. Correlate changes with downstream impact directly measured by user experience and reported incidents.
IT Change Sucess root cause analysis
Reduce change failure rates and change-related incidents and MTTR by not only predicting risky changes but identifying risk factors that teams can use to proactively mitigate risk.
AIOps risk Prediction
  • Fortune 20 Healthcare Leader
    Decrease in IT change-related problems
  • Fortune 50 CPG Leader
    Annual savings from reduced change failures rates
  • Increase IT efficency
    Increase efficiency
    • Reduce rework and recovery costs
    • Focus resources on truly risky changes
    • Lower MTTR of IT change-related incidents
  • Accelerate IT innovation
    Accelerate agility
    • Shorten change lead times
    • Make changes more frequently
    • Be more responsive to business needs
    • Increase CAB efficiency
  • Reduce IT risk
    Reduce risk
    • Identify and fix systemic causes of change failure
    • Predict change management failure and mitigate risk
    • Make data-driven decisions on resource allocation
Drive change success
Change risk prediction IT solution brief