Agentic AI in Finance: Opportunities and Challenges for Indonesia

The financial industry has historically integrated traditional machine learning techniques for predictive modeling, credit scoring, and risk assessment, establishing a foundation for AI-driven decision-making. Recently, the emergence of Large Language Models (LLMs) and Agentic AI presents new opportunities and challenges, potentially transforming financial services through advanced natural language understanding and autonomous decision processes. This evolution signals a shift towards more sophisticated AI applications that could enhance operational efficiency, customer engagement, and risk management in finance, particularly in emerging markets like Indonesia.