Business-process reengineering (BPR) is a generic term covering a variety of perspectives on how to change organizations. There are at least two distinct roles for AI in BPR. One role is as an enabling technology for reengineered processes. A second, less common but potentially important role is in tools to support the change process itself.
You have now started the journey of automating your business processes and have started seeing the tremendous value it brings. However this is just the beginning of the journey. Business process automation while it saves you and your end users a lot of time doesn't mean that all your processes are perfect. There is always room to improve and make your employees', customers', partners' and suppliers' lives easier. This is where Business Process Improvement comes into the picture.
Brander, Simon (University of Applied Sciences Northwestern Switzerland FHNW) | Hinkelmann, Knut (University of Applied Sciences Northwestern Switzerland FHNW) | Martin, Andreas (University of Applied Sciences Northwestern Switzerland FHNW) | Thoenssen, Barbara (University of Applied Sciences Northwestern Switzerland FHNW)
Organizational agility is a key challenge in today's business world. The Knowledge-Intensive Service Support approach tackles agility by combining process modeling and business rules. In the paper at hand, we present five approaches of process mining that could further increase the agility of processes by improving an existing process model.
It is a fact that businesses built with a digital core tend to outperform those with a traditional operating model. According to research by McKinsey, digitally driven organisations are more profitable than their industry competitors. It is therefore no surprise that adoption of emerging technologies such as Robotic Process Automaton (RPA) and Artificial Intelligence (AI) is on the rise. A recent survey by Gartner found that 37 per cent of global companies have now implemented AI in some form and that the number of enterprises utilising AI has increased by 270 per cent over the past four years. Rather than relying on traditional business processes being operated by office workers, managers, engineers, advisors and customer service reps, a growing number of organisations now depend on digital workers, automation and AI to run their core business processes.
Robot-led automation has the potential to transform today's workplace as dramatically as the machines of the Industrial Revolution changed the factory floor. Both Robotic Process Automation (RPA) and Intelligent Automation (IA) have the potential to make business processes smarter and more efficient, in very different ways. Both have significant advantages over traditional IT implementations. Robotic process automation tools are best suited for processes with repeatable, predictable interactions with IT applications. These processes typically lack the scale or value to warrant automation via IT transformation.