RBI Annual Report Analysis Agent

The author developed an AI agent workflow that analyzes RBI Annual Reports and generates comprehensive data explanations, making complex economic data accessible to both professionals and non-experts. The system addresses the time-consuming process of dense economic reports by providing instant, detailed explanations of key metrics and projections. The workflow features automated data extraction, comparative analysis, contextual interpretation, multi-source validation, and structured output. The demo showcases the agent's capabilities in document processing, multi-step research, and comprehensive analysis. The workflow was configured using a sophisticated multi-step prompt, with a hierarchical prompting strategy to ensure comprehensive coverage. The agent was implemented with web search integration for comparative analysis, document parsing, and data extraction. The workflow can be replicated by configuring Runner H with document processing capabilities, adding comparative analysis prompts, and setting up PDF generation. The use case has a significant impact on financial analysts, policy researchers, investment professionals, business leaders, and other stakeholders, enabling faster, more accurate, and more comprehensive insights from critical financial documents. The workflow reduces time spent on manual analysis by 95%, enhances accuracy, and makes complex economic data more accessible.