Robotic Process Automation (RPA) performs complex rule-based work by interacting with systems in the same way that current users do. Especially manual desktop tasks that are structured, routinely and rule-based, schedule-driven or event-driven are suitable for automation. Thereby, RPA relieves your employees from time-consuming routine tasks, allowing them to concentrate on higher-value activities.
RPA provides companies an agile digital workforce that executes rule-based business processes. Robotic process automation enables this in a very efficient way. In addition, it is safe, consistent, reliable and scalable.
Employees are relieved of routine activities. Customers are better cared for, and the adherence of service level agreements is improved.
Software robots attend a task about five times faster than humans. 24/7. While robots perform structured tasks, employees can take care of unstructured problem solving.
Robots always execute processes with the same quality and comply 100% with guidelines and regulations.
Because robots are scalable, one can react quickly to increasing and decreasing process numbers. This is particularly advantageous for customer service as seasonal peaks no longer have to be intercepted by employees.
With the use of robots, operating costs drop rapidly. Depending on the use case, a break-even point can already be achieved after months.
Cognitive automation represents the next level of robotic process automation (RPA). Due to the integration of artificial intelligence (AI), the field of automatable processes expands significantly. NLU also allows the use of unstructured data, and intelligent process decisions can be made via AI systems.
An automatic and intelligent recognition of automation potentials, including the automatic creation of the required bots by using AI is on the roadmap of our technology partners.
Due to the combination of AI and RPA, processes are dealt with very efficiently and with best quality. As a result, intelligent systems emerge that recreate human decisions and human behavior. A process can be processed independently and case-finalizing by the system, even though the decision situation might be complex.
If unstructured data is available for a process, the AI can recognize the intent. In addition, data (entities) can be extracted and passed on to the robots that execute the process case-conclusively. For complex processes, the AI also assumes a control function for the robots. The more complex a process is, the more decisions need to be made. In this context, an intent recognition with AI is employed. Once the intent has been recognized, it is passed back to the robot that executes the process – until the next decision with AI becomes necessary, etc.
Conclusion: Due to our cognitive automation solutions, it is possible to automate complex processes, especially in your customer service, internal user help desks or in the back office. You benefit from significant cost savings and considerable quality improvements. Look forward to satisfied customers and employees who no longer spend their time on routine activities.