Companies with effective project management work faster and more customer-oriented and thus have a clear competitive advantage.


The service consulting approach empowers users to adapt PM methods to their specific project environment, either independently or in dialog with an expert system.


Expert knowledge will be collected, sorted and grouped. The knowledge will be collected via machine learning in an intelligent database and will be accessible via a self-service component.

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Portrait Mitarbeiter Tobias Greff

Tobias Greff

eMail: tobias.greff@aws-institut.de
Phone: +49 681 93511 301

In a nutshell


A digital assistant supports companies in selecting the right mix of traditional and agile approaches to project management. At the same time, the appropriate project management software for planning and controlling the project is supplied. In this way, the SME can optimally adapt both the procedure model and the project management software tool based on key influencing factors, such as project size, possibility for incremental delivery, etc.


Companies provide information about themselves and their project to a digital assistant. This contains a reference model that automatically suggests a procedure for processing the project order based on the information entered (for example, size of the project, type of project order, etc.). Matching this procedure, project management software is adapted so that the company can efficiently plan, budget, invoice and, in the end, successfully complete the project. If questions arise during the use of the digital assistant, a digital consulting system helps by providing expert knowledge in an automated manner or via a remote component. This makes it possible to adapt project management procedure models simply, in a structured manner, and individually to company-specific conditions.

initial situation

Prozesskette für optimales Projektmanagement

For several years now, there has been a clear trend towards hybrid project management methods, i.e. the mixture of classic models, such as waterfall, and agile methods, such as SCRUM and Kanban. These different systems form the framework in which a project can be controlled using a wide variety of methods, plans and structures.

Appropriate project management and the associated configuration of existing systems are increasingly becoming a competitive factor, because companies with good project management work faster, more efficiently and more customer-oriented. Most small and medium-sized companies do not have the expert knowledge required to optimize a project management model for their specific company. This puts them at a competitive disadvantage compared to companies with project management departments and expensive consultants. The digitalization of project-related company processes opens up many opportunities for SMEs at this point.


project management

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The August-Wilhelm Scheer Institute develops 2 basic components:

Self-Service Component. The user is enabled to adapt PM methods to his specific project environment, either independently or in dialog with an expert system. To ensure this, expert knowledge is deductively transferred into control loops. The knowledge will be transferred into an IT artifact via machine learning and will be retrievable via a self-service component.


Remote consulting component. Here, human experts will work with the end user to configure the PM method and intervene to provide support in the event that the self-service procedure reaches its limits or the end user requires additional expert knowledge.

This research project has been completed.



The PRAGUE project is funded by the German Federal Ministry of Education and Research.