FROM DATA TO DECISION: A CONVERSATIONAL BUSINESS INTELLIGENCE PLATFORM FOR AUTOMATED ANALYTICS AND DECISION SUPPORT

The growing reliance on data-driven decision-making has positioned Artificial Intelligence (AI) and Machine Learning (ML) as central components of modern business intelligence (BI).Despite their potential, effective adoption remains limited for non-technical business users due to fragmented data ecosystems, complex analytics workflows, and a lack of interpretability in predictive models.This paper presents Atman AI, a conversational business intelligence platform designed to bridge this gap by integrating natural language processing, automated schema unification, AutoML-driven model selection, and large language models (LLMs) for explanation and decision support.The platform ingests heterogeneous enterprise data, identifies appropriate analytical tasks, and automatically constructs forecasting, segmentation, and classification pipelines through a no-code interface. Beyond predictive analytics, embedded LLM components generate natural language explanations and support return-on-investment (ROI) simulations, enabling