Digital.ai Change Risk Prediction
Formerly Numerify
The Digital.ai 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
Digital.ai 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
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.
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.
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.
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
64%
Decrease in IT change-related problems
Fortune 50 CPG leader
$1M+
Annual savings from reduced change failures rates
Increase efficiency
- Reduce rework and recovery costs
- Focus resources on truly risky changes
- Lower MTTR of IT change-related incidents
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
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 Digital.ai Platform brings together software lifecycle orchestration targeted AI and software lifecycle orchestration solutions that improve software delivery efficiency, reliability, and business impact.
IT change management risk prediction demo
Watch the demo to take your IT change management risk practices to the next level.
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.
Accelerating change with data
The similarities in pro cycling to business service management.
Digital.ai Change Risk Prediction
Drive change risk success with the Digital.ai Change Risk Prediction solution.