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Banks have lengthy relied on Robotic Course of Automation (RPA) to streamline repetitive duties, decreasing guide effort and operational prices. Nevertheless, RPA alone struggles with advanced workflows, unstructured information, and decision-making processes. Now, with the arrival of Generative AI (Gen AI) and Agentic AI, banks can elevate their automation methods from rule-based techniques to clever, adaptive, and autonomous operations.
What Do These Applied sciences Convey to Banking?
- RPA in Banking: Automates repetitive, rule-based duties however lacks the flexibility to course of unstructured information or make choices.
- Gen AI in Banking: Allows pure language understanding, doc processing, and content material technology, making automation smarter and extra dynamic.
- Agentic AI: Provides decision-making, adaptability, and self-learning capabilities, enabling autonomous workflows.
By combining these applied sciences, banks can transfer from primary automation to clever course of automation, considerably enhancing effectivity and buyer satisfaction.
