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Common processes to be automated include invoicing, sales orders, accounting reconciliation, data entry, system queries, payroll, employee or vendor on-boarding, or staff terminations. A typical example of when process automation could be hugely beneficial is in a service company.

As a baseline, document automation is software that allows you to collect data and generate documents automatically, based on rules that you set up in the software for those documents.

For example, when creating a standard contract, the document automation software can identify personal data, such as the client's name and address, from a form and input it directly into smart fields within a document template.

Intelligent Document Processing (IDP) converts unstructured data. Both unstructured and semi-structured data can be converted into structured, usable information, providing end-to-end automation to document-centric business processes.

Document Automation works by pulling data and text from a variety of sources and inserting it into predefined areas of document templates. These templates can include anything from simple text blocks to more sophisticated elements such as tables, graphs, and images.

Common examples include household thermostats controlling boilers, the earliest automatic telephone switchboards, electronic navigation systems, or the most advanced algorithms behind self-driving cars.

Automated document processing combines AI with deep learning or artificial intelligence to eliminate manual document processing and classifies and extracts information from business documents quickly, easily, and accurately.