Configuration Item Updates Using ML Command Matching

The patent applies partial action by implementing shallow discovery that targets only specific configuration items needing modification rather than performing complete discovery cycles. The system identifies and modifies only the necessary CIs based on input parameters, achieving required data updates without the overhead of comprehensive discovery, thus reducing time consumption while maintaining necessary data completeness.

The patent introduces an intermediary automated system that receives user input parameters and translates them into precise database commands for modifying configuration items. This intermediary layer includes validation logic and command generation that eliminates manual data entry errors while preserving user flexibility through parameter-based input, thus reducing error rates without sacrificing adaptability.

The patent segments the complex discovery process into simplified parameter-based queries. Instead of implementing comprehensive discovery mechanisms, the system divides CI identification into targeted searches using specific input parameters (such as CI type, attributes, or identifiers), maintaining accurate CI identification while significantly improving ease of operation through a streamlined interface.

The patent applies preliminary action by implementing validation and error handling mechanisms before shallow CI creation. The system prepares and validates input parameters, checks for data consistency, and implements rollback mechanisms in advance, ensuring that even when creating shallow CIs without complete discovery, data integrity is maintained through pre-established safeguards that prevent corrupt data entry.