How many online reviews do you typically peruse before purchasing a new phone or an air fryer? They can indeed be quite helpful if you’re seeking a more detailed understanding of a product. However, when it comes to enterprise products that play a crucial role in advancing your business, finding comprehensive reviews online can be quite tricky. This is precisely why we’ve crafted this blog – to provide answers to the in-depth questions that may concern you as you navigate the selection of an Intelligent Document Processing (IDP) solution for your company.
Typically, these questions address topics like customization, handling custom document types, AI capabilities, exception handling, processing speed, and other vital aspects that aren’t readily available with off-the-shelf solutions. Let’s explore some of the most commonly asked questions that genuinely concern our potential customers.
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Tailored to Your Needs: Customization
One of the key concerns when adopting a new IDP solution is whether it can be customized to align with your specific workflows and document types. With Graip.AI’s IDP solution, the answer is a yes. It offers full flexibility for customization, making it a perfect fit for your unique requirements.
It provides full flexibility and customizability, allowing users to effortlessly modify smart workflows, manage approvals, set up notifications, and implement logic adjustments using Lambda functions and JavaScript. This adaptability allows your system to grow and evolve in tandem with your business, optimizing processes as needed.
Versatile Document Processing: Custom Document Types
Businesses operate with a wide array of document types, many of which can be industry-specific. You might wonder if the IDP solution effectively processes a wide range of document types unique to your industry. The good news is that it can.
No matter your industry – in logistics dealing with documents like bills of lading and freight invoices, or in fintech handling KYC documents and regulatory forms – Graip.AI is up to the task, efficiently handling a broad range of document types. It can learn on the go, adapting to your specific document needs.
Empowering Accuracy: AI Capabilities
Some folks are happy with the results of a solution without worrying about how it works. Others may opt for a more sophisticated approach, showing a keen interest in the inner workings of the solution. This brings those curious about the technical details to a question: How do the machine learning and AI technologies in Graip.AI’s IDP solution work together to improve performance? Graip.AI’s IDP solution relies on a core set of essential AI capabilities, which include an annotation tool, a flexible Key-Value (KV) model, adaptable models, and an innovative method for handling small datasets.
The annotation tool plays a critical role, meticulously parsing complex documents and extracting essential information. Its consistent performance minimizes errors, providing reliable results. The KV model serves as the foundation of the IDP solution, facilitating the extraction of crucial data from various document types. It excels in capturing essential information with precision and efficiency by comprehending document structures.
Moreover, Graip.AI’s IDP solution effectively handles small datasets. It uses a distinctive method to enhance documents, enabling your system to recognize patterns and structures, even when dealing with limited data. This innovative approach ensures that the IDP system continues to learn and improve over time.
Navigating Complexities: Handling Exceptions
Exception handling is a critical aspect of any document processing solution. How does the IDP solution manage exceptions and edge cases where data extraction might be challenging? Well, the answer lies in a robust set of tools and strategies that ensure reliable performance, even in the most complex situations.
The IDP solution employs a universal flow model that adapts effortlessly, requiring no prior training. Think of it as a versatile document processor, capable of adjusting to various document types, even when dealing with unique and challenging structures. This template-agnostic approach simplifies the process, saving time and ensuring efficient handling of diverse documents.
Additionally, the classification model plays a pivotal role in managing exceptions. It classifies documents based on specific triggers, making it easier to identify and handle complex cases. By understanding document triggers, the system can adapt to challenges and process data more effectively.
Human control is another essential component of exception handling. In scenarios where data extraction isn’t straightforward, human oversight steps in to ensure that the extracted information is accurate.
Real-Time Efficiency: Data Extraction Speed
At work, we all might get impatient when something doesn’t happen in the blink of an eye. That’s why it’s important to have reliable software that won’t leave you nervously tapping your fingers on the table while waiting for a response. You might be wondering, can the IDP solution process documents in real-time or near-real-time to meet your operational needs?
The answer is yes. With a processing speed of just 0.8 seconds per document, the IDP solution ensures your organization can swiftly process documents, making it easier for you to make timely decisions and streamline your operations.