AI-Augmented Decision-Making for Business Process Automation

Artificial Intelligence is revolutionizing business process automation because it enhances process efficiency and reduce human work with improved decision making quality. Traditional business process automation (BPA) platforms use a rule based approach which are ineffective in constantly changing business environments. A decision making system which combines deep reinforcement learning (DRL) technology, natural language processing (NLP) and protected by blockchain security to refine business operations. The data used for the analysis is actual enterprise datasets used for training and assessing the proposed model which produced excellent results. The system achieved 94.7% decision quality and 120 ms execution time with 88.1% workflow optimization on top of standard BPA systems. The blockchain security system improved both data integrity and data transparency while operating. The constructed framework introduced an intelligent secure scalable BPA capabilities for multiple industrial applications. Future work will focus on expanding the model to allow it to operate through various and diverse domains and increasing the synergy between human operators and AI systems for better decision making.