Author(s): Ravi Palwe

Abstract: The paper explores an adaptively automated AI adviser assistant. The automaton adjusts the degree of automation, as well as the degree of explanation of the automated steps, based on the client’s stress level, client profile, alertness, and the regulatory bounds of high stakes financial decisions. This AI automated adviser assistant incorporates real-time emotion recognition, risk tolerance, and compliance models, providing personalized financial advice that adjusts to the client’s psychological state and changes in the economic climate. With regards to compliance within financial advisory, the AI automated adviser assistant enables enhanced decision-making within ethically practice innovative paradigms. The paper describes the extensive stress-testing evaluation of the AI system under high stress conditions to explain the innovative real-time adaptable client-centric decision-making support the system can practice transforming.

DOI: 10.33545/27076571.2025.v6.i2e.226

Pages: 385-392 | Views: 127 | Downloads: 58

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