What can Generative AI do?
Recently, I encountered a task where a handwritten ticket listed city names, but I needed the corresponding country names.
By using Generative AI tools, I was able to accurately retrieve the correct country names effortlessly. This is a clear example of the transformative potential of Generative AI, particularly when implemented through platforms like UiPath. This process saved significant time, demonstrating the impressive ability of Generative AI to convert unstructured information into valuable data.
Let's dive into the world of Generative AI. -
UiPath Document Understanding
UiPath Document Understanding is a robust framework designed to simplify the processing of diverse document types, making data extraction and validation more efficient. By combining robotic process automation (RPA) with artificial intelligence (AI), this solution allows organizations to handle a wide range of documents, including both structured and unstructured texts.
Empowering Users with GenAI Activities
A key feature of UiPath Document Understanding is its integration with the UiPath GenAI Activities connector. This tool enables users to interact directly with large language models (LLMs) from UiPath and other third-party providers, enhancing the document processing capabilities.
A No-Code, User-Friendly Solution
UiPath Document Understanding stands out as a no-code, user-friendly platform that simplifies data extraction and interpretation from various documents. It uses both specialized and generative AI models to ensure thorough processing, whether the data is structured or unstructured.
Versatile Document Handling
The framework's versatility is a significant asset. It can process documents in various formats and recognize key elements such as tables, handwriting, and checkboxes. This makes it a practical choice for automating workflows in industries like **real estate**, where the variety of documents—leases, contracts, invoices—is wide-ranging. Hence these can also be used to complement functionality of major real estate ERP such as Yardi and MRI Software
Architecture (How it works)
Use Case -Streamlining Document Processing in Real Estate
The team receives thousands of business documents daily, including invoices and bills, in both structured and unstructured formats. The team manually reads all the documents and fills in the data in an Excel sheet.
Existing Process (Document Reception and Manual Processing)
Document Ingestion: The team receives a large volume of structured business documents daily. These include invoices, bills, and other business-related documents in various formats such as PDFs, scanned images, and digital files.
Manual Data Extraction: Team members manually review each document to extract specific data points, such as invoice numbers, dates, amounts, and vendor information.
Data Entry into Excel: Once the relevant data is extracted from the documents, it is manually entered into Excel spreadsheets. This step is used for comparison and analysis against data stored in the actual system, such as an ERP or accounting system.
RPA Solution (Data Extraction with DUF and GenAI)
Advanced OCR and Extraction: DUF uses Optical Character Recognition (OCR) to automatically extract text from scanned documents and PDFs. Combined with specialized AI models, it accurately extracts key data points such as invoice numbers, dates, and amounts from both structured and unstructured documents.
Contextual Understanding: Integration with GenAI’s large language models (LLMs) enhances data extraction by providing context-aware insights and improving accuracy in recognizing complex document structures and varied formats.
Automated Data Entry: Extracted data is stored into Excel sheet or databases.
Exception Management: When the system encounters anomalies or uncertainties, Action Centre routes these exceptions to human reviewers. This ensures that any issues are addressed promptly and accurately.
Performance Monitoring: Action Centre generates reports and analytics on processing performance, including accuracy rates, processing times, and exception metrics.
Feedback Integration: Human reviewer feedback is used to continuously refine the AI models and extraction rules, enhancing the system’s performance and accuracy over time.
How Assetsoft Can Help
At Assetsoft, we specialize in helping clients across industries, particularly real estate, implement RPA solutions tailored to their unique needs. We know the challenges of handling diverse document types in property management and how to streamline these processes using UiPath, Power Automate, and Generative AI.
Assetsofthas extensive experience integrating technologies like Yardi, MRI Software, and Procore with RPA frameworks to automate critical back-office functions. Clients benefit from our deep knowledge of real estate-specific use cases and our ability to leverage cutting-edge technologies to improve efficiency.
Take the Next Step with Assetsoft
Whether you want to automate document processing, enhance your data management systems, or implement RPA solutions in your real estate business, Assetsoft is here to help. With our extensive expertise in UiPath, Power Automate, Yardi, MRI Software, and Procore, we’ll ensure your organization gets the most out of these technologies.
Ready to learn more? [Contact us] (https://www.assetsoft.biz) today to discuss how we can help you achieve better automation, efficiency, and results in your business.