The Future of Artificial Process Intelligence

Transparency is Good – Better Processes are Great


Expectations for process mining exceed the simple analysis of processes – the system should not only quickly and accurately detect the need for action, but also immediately initiate the right measures. The answer is a digital workplace, which enables employees of the affected areas to follow and simultaneously improve process flows.

Imagine the following situation: You want to see data about the current weather via an app on your smartphone, but need additional software, a specialist for evaluation and receive the results in four weeks at the earliest. This situation would be completely out of the question. You need and expect results easily and immediately. Should it not also work that way with Process Mining? The actual need for action in the business processes should be quickly identified and appropriate measures taken directly.

Up to this point, it has been difficult for companies to independently gain insights from process analyzes and translate them into better business processes. That’s why Process Mining needs more automated and easy-to-use methods, powered by artificial intelligence.

Artificial Process Intelligence at the Workplace

Every process mining project has one goal: to find the levers that maximize process optimization. To do this, process mining must be up-to-date, precise and continuous.

Up-to-date: Useful results are up to date. When asked if you need an umbrella today, information about the weather a month ago does not help you much. It’s similar with processes. You can only make useful improvements to a process if you know how to extrapolate from past data that is applied to current data to trends and developments.

Precise: Process mining methods must deliver targeted pinpoint diagnostics. Farmers need different weather information than people allergic to pollen. It’s the same with process mining. The analyst’s view of inefficiencies differs from the head of department’s view of open processes.

Continuous: Process mining must enable companies to continuously improve processes. Just as the changing weather forecast influences our leisure time planning, the use of process mining decides whether process optimization can succeed. For the user, this means continuously monitoring processes to intervene in operative processes as needed.

Modern process mining tools such as PAFnow were developed for this purpose. The software automatically generates contextual knowledge from data points using machine learning algorithms. As “Artificial Process Intelligence”, this further development of process mining has become a key process management technology that transforms every employee in the company into a process expert.

The procedure below describes how simple artificial intelligence (AI) -based process mining is:

  • Create transparency: One look at the process graph is sufficient to understand existing work processes. Predefined analysis reports and AI-based filters accelerate the detection of inefficiencies and risks in business processes and allow a safe initial diagnosis.
  • Identify causes: After the first abnormalities have been identified, the user will find the causes of the process problems at the touch of a button.
  • Use Shared Knowledge: The integration of PAFnow into Microsoft Office 365 promotes communication, teamwork, and productivity in the digital workplace. For example, users can share findings from analyses with colleagues through Microsoft SharePoint to work on a problem together.
  • Initiate measures: If the cause of a process problem has been identified, the user can start countermeasures in another application directly from his workstation.
  • Track progress: Continuous monitoring shows the user if the implemented measures are effective and if the process really gets better. The system informs users automatically about current trends, inconsistencies and exceeding/falling below of thresholds.


Paradigm Shift in Process Mining
With Artificial Process Intelligence, there is a paradigm shift in the process mining market: away from expensive data scientists to autonomous end users. The employees know the company processes best. Artificial Process Intelligence is therefore recommended for companies that want to empower their employees to work more efficiently.

The quality of the analysis with Artificial Process Intelligence is already so good that analysts can now focus on directly optimizing business processes. The gained knowledge is directly converted into optimization measures by starting actions from within the software. Thus, innovation achievements in digitization do not get stuck in the stage of insights from process mining.

Artificial Process Intelligence promotes productivity and digital interaction. Collaborative and platform-based work is the future. PAFnow already provides a state-of-the-art process-mining solution in the Microsoft Office 365 digital workplace.

This is how the Plan Succeeds

The impact of process changes mainly affects the employees involved in the process. Process Mining must find new ways to deal with this. Integrating process-mining software into the digital workplace empowers employees to productively perform activities. As a “process innovator” and “project accelerator”, users make a measurable contribution to the company’s success in their own “efficiency workshop”, meaning at their workplace. This promotes communication in the company and the use of existing infrastructures and simplifies the company-wide introduction of new technologies.

Research Projects in Process Mining

With PAFnext, Process Analytics Factory (PAF) promotes the research and development of innovative technologies in the fields of artificial process intelligence and process mining. Within this hands-on innovation research, PAF translates prototypes into patentable software solutions for artificial intelligence, predictive analytics, industry 4.0, blockchain and RPA. PAF is currently working with leading research institutes and industrial partners on five innovation projects funded by the BMBF and the state of Hesse. The Darmstadt-based company has an international leading position in innovation research in the process mining market and is regarded as a prime example of successful innovation policy in the age of digitization.

This article is a translation. The original was published by Harvard Business Manager as “Special ManagerWissen im manager magazin”.