Where Automation Meets Augmentation: Balancing the Double-Edged Role of Generative AI in Management Consulting

Abstract The article explores the tensions between the opportunities and challenges of generative artificial intelligence (GenAI) in management consulting, highlighting its potential to drive efficiency while mitigating risks such as hallucinations and loss of skill retention. Through a Task-GenAI Fit (TGAIF) framework, deduced from qualitative interviews with leading German consulting firms, the article outlines how aligning tasks with GenAI capabilities can optimize task performance in consulting workflows. The recommendations support the efficient and responsible use of GenAI in complex consulting environments, balancing organizational and individual perspectives. This study contributes to information systems research by advancing efficient human-GenAI collaboration and task-technology alignment in knowledge-intensive contexts.

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Publication Details

Journal
Business & Information Systems Engineering
Published
2026-03-05
DOI
https://doi.org/10.1007/s12599-026-00992-4
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Where Automation Meets Augmentation: Balancing the Double-Edged Role of Generative AI in Management Consulting

Kevin C. Desouza, Matthias Tuczek, Kenan Degirmenci, Richard T. Watson et al.
Business & Information Systems Engineering
Ethics and Social Impacts of AI
article

Where Automation Meets Augmentation: Balancing the Double-Edged Role of Generative AI in Management Consulting

Kevin C. Desouza, Matthias Tuczek, Kenan Degirmenci, Richard T. Watson, Michael H. Breitner
article en

Abstract

Abstract The article explores the tensions between the opportunities and challenges of generative artificial intelligence (GenAI) in management consulting, highlighting its potential to drive efficiency while mitigating risks such as hallucinations and loss of skill retention. Through a Task-GenAI Fit (TGAIF) framework, deduced from qualitative interviews with leading German consulting firms, the article outlines how aligning tasks with GenAI capabilities can optimize task performance in consulting workflows. The recommendations support the efficient and responsible use of GenAI in complex consulting environments, balancing organizational and individual perspectives. This study contributes to information systems research by advancing efficient human-GenAI collaboration and task-technology alignment in knowledge-intensive contexts.

Business & Information Systems Engineering
Leibniz University Hannover (DE), Queensland University of Technology (AU), University of Georgia (US)
Openalex Percentile: Top 38%
Ethics and Social Impacts of AI
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