AI-Assisted Error Mitigation in Enterprise Systems: My Master’s Thesis
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. ...