Change Risk Prediction

Formerly Numerify

The 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 spans 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).

Reduce IT change-related operational disruptions helps IT change management teams with:

  • The high cost of IT change failure

  • Making sense of constantly evolving IT environments

  • Numerous and complicated dependencies

  • Infrequent IT change cadence

  • Unreliable IT change risk prediction and management methodologies

  • 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 is 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. 

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Establish IT change team metrics

See how your ITIL 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.

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Score IT change creditworthiness

Improve the productivity of ITIL change management processes by allowing stakeholders to focus on truly risky changes rather than laboriously reviewing all of them.

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Analyze upstream and downstream IT change impact

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.

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Predict IT change risk

Reduce change failure rates, change-related incidents, and MTTR by not only predicting risky changes but by identifying risk factors that teams can use to proactively mitigate risk.

Fortune 20 healthcare leader


Decrease in IT change-related problems

Fortune 50 CPG leader


Annual savings from reduced change failures rates

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Increase efficiency

  • Reduce rework and recovery costs
  • Focus resources on truly risky changes
  • Lower MTTR of IT change-related incidents
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Accelerate agility

  • Shorten change lead times
  • Make changes more frequently
  • Be more responsive to business needs
  • Increase CAB efficiency

Reduce risk

  • Identify and fix systemic causes of change failure
  • Predict ITIL change management failure and mitigate risk
  • Make data-driven decisions on resource allocation
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Enterprise-size problems require enterprise-grade solutions

AI-powered analytics provide the insights that increase the reliability of change management and predict failures before they even occur. The Platform brings together software lifecycle orchestration targeted AI and software lifecycle orchestration solutions that improve software delivery efficiency, reliability, and business impact.

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IT change management risk prediction demo

Watch the demo to take your IT change management risk practices to the next level.

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Analyst report

IT change risk mitigation best practices

Download this research paper by IT Analyst Firm Enterprise Management Associates (EMA) to learn IT change management risk best practices. 

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Accelerating change with data

The similarities in pro cycling to business service management.

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Solution Brief Change Risk Prediction

Drive change risk success with the Change Risk Prediction solution.

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