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How to Achieve Hyperautomation? Towards a Maturity Model for SMEs

In: Artificial Intelligence, Data, and Decision-Making

Author

Listed:
  • Christoph Tomitza

    (Julius-Maximilians-Universität Würzburg)

  • Lisa Straub

    (Julius-Maximilians-Universität Würzburg)

  • Ulvi Ibrahimli

    (Julius-Maximilians-Universität Würzburg)

  • Pascal Rützel

    (Julius-Maximilians-Universität Würzburg)

  • Christian Zeiß

    (Julius-Maximilians-Universität Würzburg)

  • Willy Kögler

    (Julius-Maximilians-Universität Würzburg)

  • Axel Winkelmann

    (Julius-Maximilians-Universität Würzburg)

Abstract

Companies have pursued automation for years. Small and medium-sized enterprises (SMEs) are still far from achieving complete hyperautomation of their entire company or individual areas of their business. There is uncertainty surrounding the causes and strategies for achieving a fully networked and autonomous process chain. In a DSR process, we aim to develop a tool that assists companies in recognizing the opportunities of hyperautomation, advancing their company step by step, and identifying current weaknesses. First, we analyze the problem space through focus groups with German SME partners. We extend the knowledge base through structured literature analysis to develop a comprehensive overview of hyperautomation barriers. Building on this, we aim to establish a success model before developing a maturity model as a second artifact as well as a canvas tool for evaluation. In this way, we support companies on their way to hyperautomated business processes.

Suggested Citation

  • Christoph Tomitza & Lisa Straub & Ulvi Ibrahimli & Pascal Rützel & Christian Zeiß & Willy Kögler & Axel Winkelmann, 2026. "How to Achieve Hyperautomation? Towards a Maturity Model for SMEs," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Artificial Intelligence, Data, and Decision-Making, pages 227-236, Springer.
    • Handle: RePEc:spr:lnichp:978-3-032-08480-4_15
    DOI: 10.1007/978-3-032-08480-4_15
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