From Automation to Autonomisation: How to Capitalise on Empowered Processes

Process automation has been a cornerstone of organisational success, driving competitiveness through enhanced effectiveness and efficiency. While automation remains a key focus, the rise of artificial intelligence (AI), machine learning (ML) and the Internet of Things (IoT) provides entirely new process design options and as such demands new skills and approaches in Business Process Management (BPM) to maintain relevance and competitiveness. This paper extends current BPM paradigms by introducing the concept of “process autonomisation,” a new paradigm that empowers organisations to make decisions autonomously using real-time data and adaptive business contexts. By critically examining existing BPM methodologies and highlighting key innovations, we propose strategies for evolving process management frameworks - emphasising agility, data-driven decision-making, and seamless digital integration. To thrive in the digital age, we argue, organisations must rethink their BPM practices. We call on both academic and industry stakeholders to collaborate on pioneering advancements in BPM and co-develop a roadmap that will help organisations align their process management with the ongoing digital transformation reshaping industries.

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Publication Details

Journal
AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems
Published
2025-10-14
DOI
https://doi.org/10.3127/ajis.v29.6059
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

From Automation to Autonomisation: How to Capitalise on Empowered Processes

Michael Leyer, Michael Rosemann, Wasana Bandara
AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems
Business Process Modeling and Analysis
article

From Automation to Autonomisation: How to Capitalise on Empowered Processes

Michael Leyer, Michael Rosemann, Wasana Bandara
article en

Abstract

Process automation has been a cornerstone of organisational success, driving competitiveness through enhanced effectiveness and efficiency. While automation remains a key focus, the rise of artificial intelligence (AI), machine learning (ML) and the Internet of Things (IoT) provides entirely new process design options and as such demands new skills and approaches in Business Process Management (BPM) to maintain relevance and competitiveness. This paper extends current BPM paradigms by introducing the concept of “process autonomisation,” a new paradigm that empowers organisations to make decisions autonomously using real-time data and adaptive business contexts. By critically examining existing BPM methodologies and highlighting key innovations, we propose strategies for evolving process management frameworks - emphasising agility, data-driven decision-making, and seamless digital integration. To thrive in the digital age, we argue, organisations must rethink their BPM practices. We call on both academic and industry stakeholders to collaborate on pioneering advancements in BPM and co-develop a roadmap that will help organisations align their process management with the ongoing digital transformation reshaping industries.

AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systemsVol. 29
Queensland University of Technology (AU)
Openalex Percentile: Top 53%
Business Process Modeling and Analysis
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