Process automation is applicable to processes that require a substantial manpower, a long period of time, and that have a significant impact on other processes and systems. Automation represents a path on which completely unstructured and non-standardized business processes are shaped in such a way that they become fully automated software-supported business processes.

The term automation encompasses various types of activities that connect artificial intelligence and business processes. Within this concept, we distinguish: 
1. Macros – a series of functions that allow the automation of some repetitive tasks, complex actions or common processes, either in business applications or in databases and other computer systems. A specific sequence of tasks or processes is composed in such a way that it can be run multiple times as soon as the appropriate command is given. Also, human work is not completely eliminated: there is still a need for someone to provide the necessary information for a specific process and to ensure its quality. 
2. ITPA (IT process automation) – IT process automation; improving efficiency by reducing manual work when measuring and performing routine IT tasks, such as updating systems, configuring new servers or network devices, creating backups, etc. 
3. Integrated automation – reduces the complexity of independently automated work processes by simplifying communication between them. Integrated automation unites multiple automated systems under one system. This type of automation can include technologies such as CAM (Computer-aided manufacturing). 
4. DPA (Digital process automation) – automation of digital processes; using digital technology to automate processes and optimize workflows. It represents the automation of tasks that involve human interaction such as those in management, sales and marketing. A special focus is on meeting the requirements of interested parties such as customers, suppliers, etc., which results in greater user satisfaction. 
5. RPA (Robotic process automation) – enables robots to take over the execution of all repetitive processes within the organization. On the way to complete process automation, analysis of the potential for robotic process automation is performed, as well as the robot implementation itself, which represents the last point in the automation of manual and repetitive processes. You can find more about RPA and our work method here. 
6. IA (Intelligent automation) – represents a technological solution that combines robotic process automation (RPA), artificial intelligence (AI), NLP and machine learning (ML). The ultimate goal of IA is not only to perform repetitive and routine tasks, but also to create business processes that “think” on their own, learn and adapt to changes. It goes beyond the rule-based automation described by RPA, in such a way that the execution of processes no longer has to be dependent on humans. 
7. API (Application Programming Interface) – a computer interface that enables communication between different software systems. It defines the type of requests that can be made, how they are made, the data formats that should be used, etc. The purpose of an API is to simplify programming by abstracting away the implementation details and exposing only the objects or actions needed by the designer. 

• Increase in efficiency and effectiveness of the organization 
• Achieving higher quality by eliminating human errors and increasing compliance 
• Greater productivity achieved through the use of automated processes 
• Increased satisfaction of employees who are freed from physical work 
• Increasing the level of process quality because the output from the automated process is always the same, so the user of the output from the process receives the output faster, which eliminates errors and increases user satisfaction 
• Directing employees to tasks that create greater value for the organization, thus saving the organization time and money 
• Hiring virtual workforce (robots) that are available at any time, 365 days a year