Intelligent document capture as the key to hyperautomation
For thousands of years, people have been looking for ways to make their lives easier, get rid of manual work, and automate work processes. In the earlier context, automating meant minimizing any effort somehow. Five thousand years ago, one of the most memorable and important inventions of mankind to this day was the wheel, which was able to make previously hair-raising work at least somewhat easier. From pure muscle power to sleds and rolling beams to the wheel, technologies have become (and continue to become) more and more advanced.
Nowadays, when people talk about automation, they often refer to technologies such as artificial intelligence. It so happens that not all automation is the same either. For example, while individual process automation in a company is nice, good, and important, sometimes it also usually just means individual process optimizations. Hyperautomation, on the other hand, combines a lot of different components, tools, and process automation and puts them together into one big whole, which is essential for companies to achieve end-to-end automation solutions. The long road from putting the cart before the horse to a fully automated enterprise with hyperautomation.
Hyperautomation as the ultimate step in digital transformation
Hyperautomation not only brings all automation under one roof but at the same time also provides the necessary harmony between the technological tools. RPA, AI, process mining, analytical tools, and intelligent document processing complement each other to form hyperautomation.
Hyperautomation validates automation on the one hand and also refines it straight on the other – perfect for end-to-end automation solutions in an enterprise
There is no way around intelligent document processing
Intelligent document processing combines RPA, AI, and document processing. Only the fusion of these three technologies results in intelligent document processing in the form of AI-based OCR (Optical Character Recognition). Intelligent, AI-based OCR, in turn, is one of the critical subcomponents of hyperautomation. The fact is that it is only with the integration of intelligent document processing in the enterprise that hyperautomation and thus end-to-end automation can be pursued.
AI-based OCR doesn’t just automate processes, it does so intelligently
Intelligent, AI-based OCR enables automated processing of unstructured data in complex end-to-end processes. From document receipt and recognition of a wide variety of forms and formats, structured or unstructured, typed or handwritten, with checkboxes filled in by hand or digitally, with signatures and so on and so forth, to the extraction of all relevant data, intelligent, AI-based OCR does it automatically. Thanks to machine learning (ML) models, OCR continuously learns with more documents, which means accuracy is always improving.
Human in the Loop validates on demand
Intelligent, AI-based OCR handles document processing end-to-end. If it does detect any discrepancies and data validation is required, the responsible employee is automatically notified, can intervene and make corrections directly or initiate the further necessary steps if necessary.
Whether structured, semi-structured or completely unstructured forms and formats – the intelligent, AI-based OCR can handle them all
More clearly, the individual steps of the entire document processing process automated by intelligent, AI-based OCR look like this:
- Quality enhancement and classification of data
- Automatic extraction of all relevant data from the structured or unstructured documents
- If validation is required, automatic notification to the human in the loop
- Structured data is automatically routed to the appropriate human in the loop
- Improve accuracy through continuous learning
High relevance of AI-based data extraction and processing for companies that want to take hyperautomation seriously
Productivity is increased and human creativity is put in the foreground
Hyperautomation manages to increase the productivity of the company through large-scale process automation. Through constant analysis of the business processes, new automation potentials are simultaneously sought; hyperautomation is therefore the key to complex automation solutions. In addition, the elimination of numerous manual tasks encourages and challenges employees to actively contribute their creative sides and ways of thinking to the company and to devote the time resources gained to customers, for example, which in turn will be reflected in the company’s success and philosophy.