Rexera is transforming the $50 billion real estate transaction industry by utilizing AI to automate manual workflows. The company has developed sophisticated AI agents using LangChain, LangGraph, and large language models (LLMs) to perform complex cognitive tasks such as ordering payoff statements, extracting critical data from documents, and performing quality control checks. Rexera's initial approach involved single-prompt LLM checks for verifying document accuracy, client expectation fulfillment, workflow timeliness, and cost control. However, this method had limitations due to the complexity of real estate workflows. The company then tried a multi-agent approach using CrewAI, which led to some improvements but still faced challenges in decision-making precision. To overcome these limitations, Rexera migrated to LangGraph for custom-designing decision paths and improving control over AI agents' actions. This shift resulted in significantly reduced false positives and negatives, enhancing the efficiency and accuracy of real estate transactions.