Cost Overrun from Failed Changes
Definition
Change processes emphasize contingency plans and post-change evaluation, but manual implementation often leads to deviations from plan, triggering expensive remediation in production environments.
Key Findings
- Financial Impact: AUD 5,000-10,000 per failed normal change (rework labour + downtime at industry rates)
- Frequency: 5-10% of normal changes fail initial implementation per ITIL benchmarks
- Root Cause: Lack of built-in risk assessments, conflict detection, and automated testing in manual CAB/scheduling
Why This Matters
The Pitch: IT Maintenance firms in Australia 🇦🇺 incur AUD 5,000-10,000 per failed change in rework costs. Automation of testing, risk assessment and backout execution eliminates overruns.
Affected Stakeholders
DITM Staff, Change Implementers, Business Stakeholders
Deep Analysis (Premium)
Financial Impact
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Current Workarounds
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
Capacity Loss from Change Delays
Quality Failures from Unauthorised Changes
Patch Management Rework Costs
Overtime Costs for 24/7 Monitoring
Downtime Losses from Poor Monitoring
Capacity Loss from Manual Testing Downtime
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