Analyze Low-Risk Change Candidates for Automation
This tool analyzes closed Change service records to identify low-risk changes that could be automated by clustering similar issues and providing detailed automation recommendations.
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Overview
This job involves analyzing past change service records from the last 30 days to identify low-risk changes that can be automated. It uses advanced clustering analysis and pattern categorization to group similar issues like certificate renewals, mailbox size increases, and user management tasks, and then provides detailed recommendations for automation. The tool can answer questions about changes that could be automated, low-risk candidates for automation, routine changes for standard automated processes, recent certificate renewals or mailbox increases, and grouping similar changes by automation patterns.
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Key capabilities
* Analyzes closed Change service records from the last 30 days to identify low-risk changes that could be candidates for future automation.
* Uses enhanced pattern categorization to cluster similar issues, including certificate renewals, mailbox size increases, user management tasks, system maintenance, and other routine changes.
* Employs advanced clustering analysis to group changes by similarity patterns.
* Provides detailed automation recommendations.
Popular use cases
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