Intelligent Document Processing (IDP) enables businesses to extract valuable insights from unstructured data, streamline document handling, and enhance decision-making.
Experience a significant reduction in errors, improved compliance, and accelerated document processing, ultimately leading to increased productivity.
By using IDP, you can better adhere to regulatory requirements by ensuring that documents are processed according to the latest compliance standards. This includes maintaining proper documentation and timely reporting.
Let the robot take on repetitive, high-volume, cross-system processes where speed, capacity, and accuracy matter most—in lending services, account servicing, post-trade processing, and more.
Accelerate deployment of customer self-service options , free reps to focus on customers by giving each one a robot to gather customer data during calls, and expand what chatbots can do by pairing them with robots
Let robots access public databases, watchlists, and other sources to extract and organize critical data—and use artificial intelligence and advanced analytics to match relationships and find hidden risks.
Capture more revenues with less collector effort by automating repetitive, time-consuming steps in the collection process, like notifications, follow-ups, contact lookups, call documentation, doc prep, and much more.
Give your investment research teams personal robotic assistants to do targeted search and extraction of data from internal and external sources.
UiPath robots can understand screens and emulate how people click, point, and mouse through different processes. So you can connect with legacy systems that don’t have APIs or modern interfaces.
Automation used to just be scan, file, and retrieve. It then evolved to advanced workflows powered by Artificial Intelligence.
Now, Automation encapsulates the most advanced technology, using the combined forces of Robotic Process Automation, Artificial Intelligence, and Machine Learning.
We’ve evolved from a basic software integrator to a national leader in integration, implementation, and support across industries and organizations of all sizes.
Using our Azure and Google Document AI custom model, Large Language Models from 110 different lenders are compared at the field level, with unmatched exceptions highlighted in red.
Key fields like ABA, account number, account name, attention to, borrower, loan amount, note amount, warehouse lender, seller and bank name, are all identified despite whether or not they’re distributed throughout the document or without a key-value pair.
Natural Language Processing is one piece of the Artificial Intelligence puzzle. Artificial Intelligence is constantly covered in countless blog posts, articles, videos, and webinars. The reality is, many of these conversations are happening at a high level riddled with technical
Technologically progressive organizations often want to move quickly, particularly in the field of Artificial Intelligence. According to a recent Deloitte report, increasing the use of AI across the organization and investing in technology are the two top priorities for the
Nearly every website, software tool, and app seems to offer Artificial Intelligence to some degree. Contrary to what many think of when imagining AI, most of these tools offered are more similar to the chatbots of the late 2000s, simply
When investing in solutions for your organization, it often isn’t enough to simply understand the features and functionality of your potential investment. After all, it is the real-life, practical use cases that will justify the investment and solidify itself as
In the 1990s, the way the internet was utilized was changed as Search Engines became increasingly commonplace. Quickly, websites and information became available at the user’s fingertips, unlike the hand-indexed early internet. In the 2010s, Siri revolutionized search as an
Learn about our latest partnership with another leader in the distribution space, and how our technologies work together to make a seamless solution.
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