Intelligent Document Processing

As part of our service, we offer an Intelligent Document Processing platform with the ability to automate the identification and extraction of content from documents. By connecting text extraction together with robots, we can help your organization effectively achieve end-to-end automation.

Intelligent Data Extraction

Natural Language Processing (NLP) automates the identification and extraction of content from unstructured documents like contracts, emails etc while OCR and Machine Learning handle semi-structured data such as bank documents. By leveraging NLP, ML and OCR capabilities together into one platform it is possible to automate the extraction of data from structured, semi-structured and complex documents. Together with other business applications such as RPA organizations can focus on customer service, cost reduction, compliance and their competitive advantage.

Data Validation and Control

Critical data fields, context, and entities are identified, validated, and automatically processed according to business rules and requirements. The system can be easily trained and uses ongoing machine learning for continuous improvements and cost control.​

Visibility into Data and Processes​

Monitoring tools and reports on key parameters, including resources, performance, and accuracy, provide process transparency and predictability while giving administrators insight to opportunities for improvement.

Multi-level Document Classification​

Automate the task of understanding, separating, and routing documents through AI-based classifiers that are trained automatically, using the latest machine learning methods. Reduce your document handling costs while accelerating the process. No more manual sorting or labelling needed.


Document Types and Definitions


By leveraging the different technologies the Intelligent Process Automation plattform can handle various types of documents. NLP is great for unstructured documents such as contracts, emails and letters. ML together with OCR can automate the extraction of both structured and semistructured data. Examples of this includes invoices, order documents, bank documents and return forms.



Intelligent Process Automation (IPA)


Are you processing a lot of documents in your organization? Emails? Invoices? Surveys? Pdfs or other formats? Then Intelligent Process Automation might be the solution for you. Intelligent Process Automation combines Intelligent Document Processing (IDP) and Robotic Process Automation (RPA), where IDP reads and extracts the data, and RPA analyses and performs the actual tasks. This could, for example, be extracting the data and then inputting it into a system.  Here's one example of an IPA project that we've done: 

One of AKOA's clients in the Real Estate industry manages tens and thousands of apartments. Every year, the Real Estate company has to ensure that the families living in social apartments are still eligible to do so, gathering information about the number of tenants and their overall income. Hence, the tenants need to fill out a standard survey and provide proof of their income. The survey data is read using Intelligent Document Processing,  and analyzed by RPA, determining whether income statements indicate rent control.


Want to learn more about combining Automation Technologies and scaling your Automation Initiatives? Read about Hyperautomation, and our blog post on "End-to-end Automation through Hyperautomation".

Hyperautomate with akoa



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