In order to improve the automation level of business processes, this paper proposes a quantum state monitoring model combined with computerization to achieve real-time monitoring and precise control of business processes. This study designs efficient algorithms to process computerized data in business processes, realizes process automation, and introduces quantum state monitoring modules at key nodes to accurately track the quantum state of the process. This paper designs a set of multi-level data processing algorithms to complete hierarchical analysis, real-time monitoring and process optimization of business processes based on computerization input, and further improves data processing efficiency and accuracy by combining quantum computing models. This paper conducts simulation experiments on the proposed monitoring model and conducts a large amount of data collection and analysis in different business scenarios. The simulation results show that the computerization processing system based on quantum state monitoring has shown significant advantages in business automation, achieving high-precision process control and fast data processing capabilities. Quantitative analysis shows that the quantum state monitoring model has significant results in optimizing business processing efficiency, with data accuracy improved by more than 15%, and effectively reducing the process interruption rate.