Change Impact Analysis
MediumPredicting which systems and services may be affected by proposed IT changes.
The Pain
IT changes can have unintended impacts on connected systems. Impact analysis is manual and may miss dependencies. Outages occur when changes affect systems that weren't considered. Change reviews take time that delays implementation.
What's Possible
AI can analyse proposed changes against system dependencies, predicting potential impacts. Change teams see what might be affected before proceeding. Fewer unintended outages, faster change reviews.
Signals This Is Worth Exploring
Changes sometimes cause unexpected outages
Impact analysis is manual and time-consuming
System dependencies aren't fully documented
Change reviews delay implementation
Impact
Better prediction of change impacts
Fewer unintended outages from changes
Faster change impact assessment
More informed change decisions
Typical Approach
Assess
Review change processes and available dependency data.
Pilot
Test impact analysis on planned changes.
Scale
Integrate into change management workflow.
What to Watch Out For
Dependency data may be incomplete
Predictions aren't guarantees
Complex changes may have cascading effects
Staff still need to exercise judgment
Questions to Think About
Before we talk, you might want to consider:
How do you currently assess change impacts?
What dependency information do you maintain?
How often do changes cause unexpected issues?
How long does change impact analysis typically take?
Build On This
Once the basics are working, you can expand:
Dependency discovery
Identify undocumented system relationships
Risk scoring
Rate changes by potential impact
Rollback planning
Identify considerations for change reversal
Want to explore if this fits your organization?
Book a 30-minute call to discuss your situation and whether this use case makes sense for you.
Book a 30 min call