The Application Boundaries and Efficacy Evaluation of AI Technology in Enterprise Strategic Consulting — Based on Data from 100 + Enterprise Projects

Authors

  • Chongguang Zhu Shanghai Yangao Enterprise Management Co., Ltd., Shanghai, China Author

DOI:

https://doi.org/10.70088/psw3h532

Keywords:

AI technology, strategic consulting, application boundaries, effectiveness evaluation, digitally driven consulting, project cycle reduction, solution accuracy

Abstract

With the ongoing digital transformation of the global strategy consulting industry, artificial intelligence (AI) technologies are increasingly permeating various stages of consulting projects, becoming essential tools for improving efficiency and solution accuracy. Drawing on data from more than 100 corporate strategy consulting projects, this paper systematically evaluates the boundaries and effectiveness of AI applications in strategic consulting. The findings reveal that AI significantly shortens project cycles (by an average of 15%–30%) and enhances solution accuracy (by an average of 10%–20%) in areas such as data-intensive analysis, standardized solution generation, and risk assessment. However, complex strategic judgment, understanding of corporate culture, and client relationship management remain highly dependent on human expertise, highlighting the clear boundaries of AI’s applicability. This study further explores how AI reshapes the competency model of consultants, emphasizing digital literacy and proficiency in AI tools as emerging core competitive advantages, and offers insights for both enterprises and policymakers. The research not only underscores the practical value of "digitally driven consulting", but also demonstrates the originality of data-driven analytical methods, providing useful references for the future development of strategic consulting.

Downloads

Published

25 September 2025

Issue

Section

Article

How to Cite

Zhu, C. (2025). The Application Boundaries and Efficacy Evaluation of AI Technology in Enterprise Strategic Consulting — Based on Data from 100 + Enterprise Projects. Artificial Intelligence and Digital Technology, 2(1), 63-69. https://doi.org/10.70088/psw3h532