Digital transformation is no longer a novel approach, it is not a step we are awaiting, nor are we equipped with just a bunch of assumptions about the kinds of benefits it can bring us. Rather on a daily basis, as business and private users, we are witnessing it being woven into the very way that a large number of innovative companies operate, but also the way they think about making their operations more efficient and their products and services more accessible to users
At the foundation of the digital transformation process, and the paradigm of new productivity, are specialised solutions that automate processes and enable different sources and forms of electronic data to become purposeful.
With the development of mobile apps, social networks, websites and the Internet of Things (IoT), there have been manifold increases in the amount of structured and unstructured content available. It is precisely this great amount, coupled with the diverse types of data that we can collect, that have given rise to the need for more efficient management to ensure companies really benefit from them.
Only processed data that can be analysed qualitatively contribute to business processes in which numerous stakeholders make different decisions that are often very complex.
With the applying of the software solutions that stand behind digital transformation, the modelling of business processes according to a company’s procedures has been enabled. In this way, modelling contributes to formalisation, or the precise definition of the way in which processes are executed without the possibility of skipping a stakeholder or not performing some procedure.
Once processes are formalised, automation can be applied to individual activities, entire sequence of steps or scheduling tasks and association information according to predefined rules, so employees don’t need to think about what and when they need to complete a particular task.
Additionally, the possibility to control the flow of processes provided by these software solutions helps companies identify bottlenecks and open space for optimisation, and thus even more efficient operations.
The development of technology has led to the evolution of software into “Intelligent Business Process Management (iBPM)” platforms, which are synonymous with speed and ease of implementation.
AIGO Digital Business Automation, as an iBPM solution for the implementation of hyperautomation, i.e. the next step in the evolution of automating business, enables the performing of a significant number of processes without the involvement of employees.
Capture, or Input Management, comprises a collection of tools for capturing content (scanned documentation, emails or other electronic channels), placement in the system and advanced processing (images, QR codes, image enhancement filters) in order to obtain information valuable to business.
The Content segment of the service is responsible for ensuring the safe and reliable management of processing content: from regulating rights of access, via the managing of versions and transforming content to other formats, to rigorously recording every activity of each user.
The Workflow (Business Process Management) segment represents the core of the platform, which enables the modelling, designing, executing, monitoring and optimising of business processes.
Decision tools enable the simple and swift defining, without coding, of complex rules of processing different flows, actors and documentation, which form the basis for the automatic performing of confirmation, verification and approval processes.
The Task service and the applying of software robots automate the executing of manual tasks (mass data entry, email campaigns, data validation in multiple systems) and provide a higher level of automation.
The AIGO Digital Business Automation platform is a solution that makes hyperautomation possible, simple and purposeful. In addition to the fast development of applications without coding, cloud support, advanced capabilities of system integration and the application of artificial intelligence and machine learning, it shifts the focus from a classical IT solution to an all-encompassing business solution. Apart from enabling the sturdier and more efficient integration of IT with companies’ business functions, it shifts the role of the software engineer towards that of a business consultant and partner on the road to achieving higher levels of efficiency and productivity.