Digital transformation and document hyperautomation

Digital transformation involves implementing innovative technologies and redefining business processes to enable automation.

Francesco Cavina
Francesco Cavina
CEO & Co-Founder

The concept of digital transformation involves not only implementing cutting-edge technologies within organizations, but also redefining business processes to enable automation and efficiency. Therefore, it is crucial to embrace a new mindset—one that views technology as a strategic enabler for achieving your company's core objectives.

In this article, we'll look at:

  • Digitalization of business processes;
  • The automation of document processes;
  • The technologies involved;
  • The key benefits;
  • Document hyperautomation: myBiros & Automyo.

Digitization of business processes

In short, digitization involves optimizing and scaling up activities, data flows, and procedures within a company by leveraging automation and advanced technologies. One of the primary objectives is to make operations more efficient and streamlined, minimizing manual steps, and thereby reducing errors, redundancies, and repetitive tasks. It ensures transparency and provides full executive control over each activity, while also gathering valuable data for enhancing operational efficiency.

Another important aspect is that the digitization of business processes fosters pervasive communication, collaboration, and interaction, both internally and externally. However, effective digitization requires careful planning and evaluation, focusing first on the processes or departments that can benefit the most. Additionally, these efforts must align with the company's strategic priorities and goals for growth and improvement.

After identifying areas for potential improvement, the next step is to determine the necessary tools and technologies for successful business digitization. It is crucial to understand the existing IT systems in use and to evaluate how they can be optimized with additional digital solutions.

Process digitization is most effective when it allows for seamless digital integration across different departments, ensuring they are aligned with a cohesive digital work strategy. This approach enables companies to adapt quickly to market changes, boost productivity, reduce internal costs, and make data-driven decisions, ultimately enhancing their competitiveness in the marketplace.

Automation of document processes

The digitization of processes is closely linked to the automation and digital management of documents. Modern document management is essential for optimizing the significant effort involved in archiving, classifying, and processing documents across various business processes. This can include everything from managing invoices and expense reports to HR procedures and back-office documentation.

Business documents are a fundamental part of the processes that underpin a company. Therefore, it is crucial that everyone within the organization can access these documents and the information they contain quickly and easily. Moreover, utilizing Intelligent Document Processing (IDP) solutions not only makes data more accessible but also unifies the numerous sources from which documents originate. This ensures that data is integrated into company systems, enabling the automation of actions based on the collected information.

A centralized and unified document management system also provides a higher level of security and more timely control, enhancing operational efficiency and compliance.

Main technologies involved

  • Optical Character Recognition (OCR): is a technology that enables computers to recognize and extract text from scanned documents or images. It is typically the first step in digitizing paper documents, allowing further automated processing based on the extracted text.
  • Computer Vision Techniques:tThis interdisciplinary field enables the automatic processing of images for various tasks. By leveraging neural networks, it is possible to automatically identify the structure of a document, such as titles, paragraphs, signatures, tables, and more. These techniques are also valuable for document classification through image analysis and information extraction.
  • Natural Language Processing (NLP): NLP is a branch of artificial intelligence focused on enabling computers to understand, interpret, and generate human language. It is commonly used in intelligent document processing to extract information from unstructured text, such as identifying entities or key details.
  • Robotic Process Automation (: RPA is designed to automate repetitive tasks that are traditionally performed by human operators. It is often employed in intelligent document processing to automate the integration of systems both upstream and downstream of document workflows, as well as to execute actions based on extracted data.
  • Data storage and management systems: these systems are used to store and manage the data generated by intelligent document processing and RPA systems. This includes databases, data warehouses, and other solutions for efficient data management and retrieval.
  • User interface tools: these tools provide an intuitive interface for interacting with intelligent document processing and RPA systems. They may involve technologies for creating web interfaces, mobile applications, or other user-friendly platforms to facilitate engagement and accessibility.

The main benefits

Intelligent Document Processing (IDP) solutions provide companies with several significant advantages:

  • Direct Savings on Time and Costs: Leveraging scalable, high-performance architectures reduces both time and costs, significantly decreasing the effort required to process large volumes of data.
  • Reduction of Repetitive Manual Activities: With the help of Artificial Intelligence, manual intervention in document processing is minimized, allowing employees to focus on more valuable tasks.
  • Superior Data Quality: Continuous learning and validation processes enhance data quality, drastically reducing the risk of errors.
  • Rapid Data Processing Start-Up: IDP solutions are easily integrated through RPA mechanisms, offering integration that is 5-10 times faster and easier compared to other methods.
  • Ability to Process Any Document Type: With the power of Artificial Intelligence, IDP solutions can manage all types of documents, whether structured, semi-structured, or unstructured.
  • Full Automation: The seamless integration of IDP with other company systems facilitates the creation of fully automated RPA solutions without the need for costly system upgrades.
  • Improved Productivity: IDP enhances organizational productivity by reducing time spent on repetitive tasks, thereby improving the quality of the work environment.
  • Ease of Use for Businesses: Pre-built use cases and seamless integration with RPA solutions make it simple and fast for companies to launch and implement common use scenarios.

Document hyperautomation: MyBiros & Automyo

MyBiros is an Intelligent Document Processing (IDP) solution that enables the automatic processing of documents. Its core features include:

  • Information Extraction: Automatically extract key data from documents.
  • Automatic Document Classification: Classify documents accurately without manual intervention.
  • Artifact Extraction: Extract specific elements from documents, such as signatures, images, and other important components.

By leveraging advanced deep learning techniques that analyze multimodal features, it is possible to process all types of documents with a single solution. The system uses pre-trained models and data augmentation techniques, which allows it to be trained with a reduced volume of data. This makes it suitable for automating processes involving even small volumes of documents.

The solution includes a scoring mechanism to enhance accuracy: it minimizes false positives by allowing users to review low-confidence data, thereby reducing errors. Interaction with human users enables the correction of system errors while continuing its training. This approach, known as Human-in-the-Loop and continuous learning, ensures that past mistakes are not repeated and overall system performance improves over time.

Integrating MyBiros into any application is straightforward, thanks to its API capabilities and seamless interaction with RPA systems. This is where Automyo comes into play, offering its innovative RPA solution to further enhance automation and efficiency.

Automyo is designed to enhance the work experience for both companies (B2B) and their clients' customers (B2B2B), creating more efficient processes at a lower cost. This platform enables the creation of automated workflows without the need for coding, making technology accessible and empowering people to drive business growth.

MyBiros and Automyo can seamlessly work together to accelerate business processes and simplify the digital transformation even further. On one side, MyBiros delivers exceptional precision in data extraction and digitization, even from low-quality documents. On the other side, Automyo enables the scheduling of automated workflows, making MyBiros' document processing even easier to use and more effective.

A unified process that creates an interconnected ecosystem, supporting companies and equipping them with the right tools for digital growth.

Want to learn more? Get in touch with us.

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