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How BlueLabel is Using GenAI to Transform Real Estate and Financial Services

Bobby Gill | September 17, 2024

At BlueLabel, we are committed to leveraging the power of generative AI to drive impactful innovation for businesses across various industries. Today, we’re excited to announce the release of two new case studies that highlight our recent successes with generative AI in real estate development and financial services. These case studies showcase how we combine cutting-edge generative AI with deep industry insights to deliver creative, efficient, and effective solutions for our clients.

Case Study 1: Revolutionizing Real Estate Development with Mapline.ai

Mapline.ai, a generative AI-powered solution, was designed to streamline the due diligence process for real estate developers. Our client, a leading civil engineering firm, faced significant challenges due to the overwhelming volume of geospatial data and the complex regulatory environment required to determine the laws and regulations regarding land use development.

Our Solution: We built a generative AI-driven tool that aggregates geospatial data from various sources and uses generative models to automate the analysis process. By integrating local municipal regulations with advanced risk assessments into the generative AI led analysis, the solution provides real estate developers and civil engineers with a faster, more accurate way to make informed decisions about what can be built on land plots and what requirements govern that.

Outcomes:

  • Reduced due diligence time from days to minutes.
  • Achieved a 60% reduction in site visits by focusing on high-priority areas.
  • Discovered 25% more potential risks than traditional methods.
  • Delivered real-time AI-generated insights that enabled better decision-making for land use development.

Case Study 2: Transforming Financial Services with B.O.S.S. Retirement Solutions

Our client, B.O.S.S. Retirement Solutions sought out BlueLabel to help them streamline and automate their lead generation process through the creation of the generative AI-powered Blueprint Builder Tool. To attract and engage potential clients, B.O.S.S. introduced the B.O.S.S. Retirement Blueprint™—a concise, one-page document that provides a personalized summary of retirement strategies tailored to each client’s unique needs. In order to increase efficiency and adoption of the blueprint process, BlueLabel developed the Blueprint Builder tool. Within eight weeks, we deployed a prototype which can produce Retirement Blueprints in minutes customized to each client.

Our Solution: Using Langchain and the LLaMa 3.1 open-source language models, we built a Retrieval-Augmented Generation (RAG) process that allowed financial advisors to extract key data, automate complex calculations, and generate personalized reports in real time. This not only simplified workflows but also improved the accuracy of financial plans.

Outcomes:

  • Automated data extraction and LLM textual analysis from multiple financial tools.
  • Delivered real-time AI-generated retirement strategies that align to the principles followed by financial advisors at. B.O.S.S.
  • Scaled seamlessly to handle large financial datasets and a growing user base.

These case studies are just the beginning of how BlueLabel is pushing the boundaries of generative AI to create intelligent solutions that are tailored to each client’s unique needs. We invite you to explore the full case studies on our website to learn more about how we are transforming industries like real estate and financial services through generative AI.

If you’re interested in discovering how generative AI can help deliver greater efficiency and productivity in your business, reach out to us for a consultation today.

Bobby Gill
Co-Founder & Chief Architect at BlueLabel | + posts