AI

Introduction While preparing my paper “Addressing functionality gaps, data integrity, and system interoperability in enterprise systems,” I kept coming back to the same frustration: production incidents are still far too manual. We spot a timeout, race through dashboards, hack together a hotfix, and hope nothing else breaks. The paper proposes a different path - an AI-assisted error mitigation method that detects issues early, drafts a response, and pulls humans in only when judgment is required. ...

Mistakes and errors are inevitable in enterprise systems. Developers introduce bugs, product teams make imperfect decisions, and users sometimes perform unexpected actions that cause data inconsistencies. Once such errors leave development and reach staging or production, the cost of mitigation grows — requiring coordination between multiple teams and risking business disruption. For my Master’s thesis in Business Informatics at Riga Technical University, I explored innovative methods to address functionality gaps, data integrity violations, and system interoperability issues resulting from these types of errors. ...