Anusha Nerella, the leader of fintech automation at State Street, discusses the fatal flaw in enterprise automation, particularly in financial systems, where processes often succeed but fail in context. Nerella argues that while robots, such as RPA, microservices, and large language model (LLM)-powered agents execute millions of decisions per second without human input, this creates a blind spot. The problem is that AI has not been trained to interpret emotional intent, stress signals, or interpersonal cues. This can amplify harm even when it is technically doing its job. As a result, more organizations are exploring the need for sentiment-aware controls to be embedded into automation logic. The future of this model could include sentiment constraints as real-time regulators, which escalate, pause or defer the decision if user sentiment is volatile and transaction high-risk.
Source
This post was brought to you by Wrk. Our bot looks for news related to automation and post daily.