Automation technologies play an important role in implementing any digital transformation in companies and allow processes to be improved quickly and effectively. The problem is that process requirements change over time, meaning that processes need to be regularly adapted to new conditions. For many companies, handling these changes poses an enormous challenge because they do not know how to automate their complex process landscapes and which automation solution is most appropriate for the job.
To quickly and easily identify the appropriate core components and technologies for optimizing their processes, companies need to take the holistic approach described in our latest white paper called “Intelligent Automation.” Our recommended approach takes goals and strategies into account and focuses on the actual process involved, allowing automation concepts to be optimized, implemented and monitored more precisely at the organizational, technological, and employee levels. A clear process analysis that identifies relevant processes is a prerequisite, as specific automation projects can only be launched once this analysis is complete.
During our MHPDeepDive “White Paper: Intelligent Automation,” we provide an insight into the document we have produced. We will present our holistic approach that can help you take process automation to the next level at your company. We will also go through two specific applications: the combination of robotic process automation (RPA) and natural language processing (NLP) in complaint management, and automation of dialog-driven processes using RPA and a chatbot for an IT service desk.
Here’s what to expect in our MHPDeepDive:
- We will provide an insight into our white paper on intelligent automation.
- We will explain our holistic approach that can help you to implement process automation projects in your company.
- We will explain two specific applications of RPA.
Speakers:
- Sven Sojka
Manager, Topic Lead Intelligent Automation, MHP - Abdul Al Ashraf
Senior Consultant, Intelligent Process Automation, MHP