Agent-Driven Alert Drafting for Banking Compliance Updates

When regulators publish new rules or amend existing ones, compliance teams at banks must quickly understand what changed, decide who is affected, and circulate clear internal alerts. Doing this by hand for every circular and amendment is slow and error-prone, which makes it a strong candidate for AI-assisted automation. The intern builds a pipeline in python where users paste or upload recent regulatory updates and compliance changes. A workflow defined in langgraph moves each document through stages for parsing, relevance assessment, summarization, and alert drafting, while an agentic-ai layer coordinates the stages and decides when a summary needs another pass. Generative AI through openai models turns dense regulatory language into short, actionable alert messages and longer explanatory summaries, and the system assembles everything into text-based alert reports ready for distribution to affected teams. The project teaches regulatory monitoring practices, faithful AI summarization of high-stakes text, and multi-step workflow automation. The intern finishes able to show a working compliance tool and to explain the safeguards needed when generative AI drafts security-sensitive communications.