The Cost of Accurate Data on IDP

Accurate data is the foundation of any successful RPA+IDP project.

Without accurate data, the automation process can quickly become unreliable and inefficient. It’s essential to ensure the data used to power RPA is accurate and up to date. This means that businesses must develop a robust system for detecting and correcting any errors or inconsistencies in their data.

To ensure accurate data, businesses can make use of Intelligent Document Processing (IDP) solutions. IDP solutions provide businesses with the ability to process documents quickly and accurately. They leverage sophisticated algorithms to recognize and extract data from incoming documents, ensuring that only accurate data is used in the automation process.

IDP solutions also enable businesses to automate the entire document processing process, from data extraction to document classification and filing.

In addition to using IDP solutions, businesses should also consider other measures to ensure their data is accurate. This includes investing significantly in training data extraction models and implementing data-validation processes using their own Human-In-The-Loop.

Naturally, the idea that you can be completely “hands off” with document processing is highly appealing. It makes sense to assume that pushing documents through a workflow without manually touching them will save time and, therefore, money.

Because many organizations process thousands of documents per day, manually processing every document or even having some type of automation plus a Human-In-The-Loop, can cause massive slowdowns.

Most IDP vendors provide the underlying technology but push the cost and risk of the training process and Human-In-The-Loop validation into their customer’s end.

If things work well, it’s due to their fantastic technology if things go south, it’s because the tool was not properly trained.

Experienced RPA teams now realize that the most relevant IDP challenges are related to the fact that these tools fail to provide the consistency, accuracy and straigh throught processing up to the mark that is required.

Even over the most common use cases like invoice processing (accounts payable automation) where there might be 400/5000 vendors, each on with different formats and languages, raising big challenges when implementing IDP.

On top of that, these tools often lack advanced capabilities such as supporting multiple documents within the same PDF, or supporting reliable extraction over photos, which require the development of complex pre-processing scripts to enable document slip and enhancement.

For these reasons, a significant amount of documents will be shipped for human quality control (validation), which strongly impacts the process’s end-to-end lead time.

Just think about the time it will take to get 100% accurate data out of a batch of 1000 documents… Most probabbly the process will probably take at least a full day and require a significant allocation of your staff.

Outcome Driven IDP where results matter more than technology.

At DocDigitizer, we believe in an outcome-driven Intelligent Document Processing model where our customers don’t need to worry about the complexities of implementing and maintaining their IDP implementation.

Our unique All-Inclusive model allows organizations to benefit from straight throughput document automation, with built-in training on the fly providing 6x faster time to value compared to traditional IDP. On top of our pre-built models, we take care of any fine-tuning required to handle any document format on the fly when needed, if needed. By not requiring any warm-up, we avoid spending weeks on setup and model training, enabling organizations to process any document immediately.

We also built-in to DocDigitizer, a Human-in-the-loop verification process that allows our customers to remove any manual step on their end entirely and always receive nearly 100% accurate data, backed up by SLA and a refund policy. Our built-in HITL, allows customers to use our data output to make decisions and reduce their lead times from hours (that often is what they take to review the IDP outcome) to a few minutes.

All these features are available with a full pay-per-use model for any industry and document type, including handwritten and unstructured documents. They include advanced capabilities such as fraud detection, data anonymization, complex table processing, and signature detection.

Our all-inclusive approach is particularly relevant for:

• Straight Throughput Document Automation – Companies looking to remove any manual validation.
• Long-tailed Use Cases – Use cases with a high variability of format and layouts.
• Complex Use Cases – Use cases that required advanced capabilities such as handwritten processing, unstructured document processing and fraud analysis.

Book a meeting and learn more about how you can start your all-inclusive journey.