Academic Research
Award-winning research on digital business process analysis focusing on topics such as Process Mining, RPA, and explainable Artificial Intelligence at the University of Würzburg.
About
Many Minds, one Goal
Mission, Vision, Values
Our Visions and Values
Values
The values that determine our thoughts and actions.
Honesty
Consequence
Innovation
Values
The values that determine our thoughts and actions.
Honesty
Consequence
Innovation
Our History
From Research to Practice
2018
2021
EXIST Startup Grant
Endowed award for the presented business idea resulting from research efforts in the field of Task Mining as relevant to practice.
EXIST
Foundation
Official founding as Paxray GmbH with a focus on the development of software solutions for innovative analysis of digital business processes.
2022
2022
Performance Specialization
Lean Startup Cycle with a major company in the construction materials industry to achieve the development of the software suite for and with practice.
Software Suite 1.0
First full release of the Paxray Software Suite, admittedly still very technically oriented at this point.
2022
2023
Entrepreneurial Research
Conducting a comprehensive expert study and further research efforts in cooperation with the Technical University of Dortmund.
TU Dortmund
Software Suite 2.0
Release of the completely revised Paxray Software Suite with significantly improved performance and (for the first time) innovative usability.
2024
Expertise
Relevant Research History
Portfolio
Categories of Business Value of Robotic Process Automation: A Study of Benefits and Challenges
Unified Theory of Acceptance and Use of Technology (UTAUT) for Intelligent Process Automation
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability
The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study
Applications and challenges of task mining: a literature review
A Taxonomy of User-centered Explainable AI Studies
Process selection for RPA projects
On the composition of the long tail of business processes: Implications from a process mining study
How Much AI Do You Require? Decision Factors for Adopting AI Technology.
A framework for implementing robotic process automation projects
Process selection in RPA projects-towards a quantifiable method of decision making
Portfolio
Categories of Business Value of Robotic Process Automation: A Study of Benefits and Challenges
Unified Theory of Acceptance and Use of Technology (UTAUT) for Intelligent Process Automation
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability
The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study
Applications and challenges of task mining: a literature review
A Taxonomy of User-centered Explainable AI Studies
Process selection for RPA projects
On the composition of the long tail of business processes: Implications from a process mining study
How Much AI Do You Require? Decision Factors for Adopting AI Technology.
A framework for implementing robotic process automation projects
Process selection in RPA projects-towards a quantifiable method of decision making