In times of serious corporate scandals and corruption, data leaks, cyber attacks, corporate indebtedness, and a flurry of requests for judicial reorganization, the need to implement and improve corporate governance processes and mechanisms is becoming increasingly evident. It is not necessary to be a wizard to predict risks, but it is necessary to know the processes and those involved.
In a Governance structure, it is essential to allow the necessary synergy of communication and resolution of improvement opportunities to be correlated with each other.
As a way of visualizing in practice the acting role of each department of an organization, the IIA (International Institute of Internal Auditing) developed the structure called “Three Lines of Defense” to minimize the possibility of errors/failures/fraud during its execution, with the principles of meeting: i) determining Governance; ii) establishing the Roles of the Administrative Body; iii) distinguishing the Role from each of the 3 lines; and iv) bringing independence to the Third line.
Thus, the use of technology works as an ally of a governance structure and robotization acts as an accelerator, since the absence or low control of data hinders the process of internal controls, being an obstacle to an effective governance structure.
RPA (Robotic Process Automation ) is a technological tool that automates repetitive business process activities. Robotic process automation software performs repetitive tasks automatically, increases productivity and operational quality, and for this reason it is estimated that up to 70% of the work performed by shared services or outsourced operations can be automated.
Good RPA tools are characterized by the existence of a user-friendly interface, the speed in the creation of new robots, the savings generated by their use and the gain in productivity, directly affecting the performance of companies.
To guarantee the return on investment in the implementation of RPA, it is necessary to choose the right tasks, those that consume a lot of human resources time and have key characteristics described below: large volume of activity execution, manual data entry, repetitive work, access to multiple legacy systems, rule-based processing and well-defined logic, and a high number of outsourced workers.
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