What are the relevant preparations for Intelligent Document Processing (IDP)? A step-by-step guide

We spend way too much time manually capturing documents.

Do you process documents with template-based and barely efficient OCR or do you even still type data completely manually?

Intelligent Document Processing (IDP) is the ideal solution for automating document processing. Find out what steps to take up front to not only solve the problem, but maximize success.

Table of contents

• Step 1: Requirements analysis
• Step 2: Implementation of requirements
• Step 3: Training and configuration
• Step 4: Onboarding
• Step 5: Go-Live
• Step 6: Optimization

Not quite sure what Intelligent Document Processing (IDP) is? Here you get to a short overview

Step 1: Requirements analysis for Intelligent Document Processing (IDP)

The first and most important step before a company can look for the right solution is the analysis:

• What are our requirements?
• What must our system be able to handle?
• Let’s take the optimization of the accounts payable workflow as an example: What do we need our system to be able to do to make this process faster, easier and more cost-effective?

The more precisely the company prepares the requirements analysis in advance, the more efficient the subsequent steps will be.

Step 2: Implement the requirements

Once the requirements are clarified, Parashift takes care of implementing them.

Going back to the example of the accounts payable workflow that the company wants to optimize:

• The company needs the extraction of data X, which Parashift already covers as standard
• The company also needs the extraction of data Y, for example, special identification numbers.

Parashift implements all special requirements in such a way that the Intelligent Document Processing (IDP) platform can also extract such data automatically. In this way, the company is served a tailor-made IDP solution.

Parashift focuses exclusively on document extraction, achieving state-of-the-art performance.

Step 3: Training and configuration

The third step is to train and configure the Parashift Intelligent Document Processing (IDP) platform.

If required, a company can set up additional document types effortlessly and within a very short time with the powerful and easy-to-use document type editor.

Step 4: Onboarding

Onboarding is the process of integrating the Parashift IDP platform into the company’s system. Depending on the system, integration takes place either via an existing interface or via a new one.

After the integration of the Parashift IDP platform, extensive testing is carried out. Here, the new business process is simulated and tested for functionality.

Step 5: Go-Live

If everything works as desired during onboarding testing, the next step is go-live. From this moment on, the company officially switches to productive operation. All incoming documents automatically run through the newly developed system paths and business processes are only handled there.

Step 6: Optimization

Due to the nature of the Parashift IDP platform and its swarm learning, the company benefits from continuous performance improvement.

If this is not enough for the company and they want an additional performance improvement specifically designed for their documents, optimization projects can be undertaken accordingly, and the extraction quality can be further improved.