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How AI is transforming the consulting industry? 

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Autor
Thomas SPITZ
Date of Publication
22 Janvier 2025

The Era of augmented consultants: Understanding the Impact of Generative AI in Consulting.

With the rise of generative artificial intelligence (AI) technologies, the consulting sector is on the verge of a major transformation. Consultants are moving towards an "augmented" model, where AI and humans complement each other to provide significant added value to clients. In this article, we will explore the nuances of this transformation and how it is shaping the future of consulting.
The augmented consultant concept :Definition and relevance :
An augmented consultant is a consulting professional enhanced by the capabilities of generative AI. This synergy allows for the automation of routine tasks and accelerates data analysis, freeing up the consultant to focus on higher-value activities such as creative strategy and personalized services.

Impact on productivity and pricing:
According to a study by BCG Henderson Institute, using generative AI for creative tasks has boosted consultant performance by nearly 40%.
However, using the technology for more complex business problem-solving tasks does not improve professional performance.
In fact, when participants used generative AI for such tasks (for instance, deciding what type of store format to develop), their performance dropped by 23% compared to when they did not use the technology.

This result can be attributed to the participants’ trust in generative AI’s outcomes, even when it makes errors.

"On one hand, we didn’t expect this technology to improve our performance so significantly in creative areas. On the other hand, we didn’t expect it to perform so poorly for more analytical problem-solving tasks,” analyzed Michael Brigl in Handelsblatt.

This automation could also pressure the pricing models of consulting firms, as clients may expect lower costs for tasks that are automated.

The role of humans :
While generative AI offers substantial benefits, it cannot replace human expertise, particularly in creativity and situational intelligence. Unique human skills remain essential for building meaningful relationships and offering personalized advice based on empathy.

Mastery of AI tools by consultants :
Consultants must familiarize themselves with generative AI to stay competitive. As highlighted by Le Journal du Net, consultants without specific expertise could be replaced by AI, while those who provide added value and specialized knowledge will strengthen their position. This trend encourages a shift towards more personalized and strategic services.

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The impact of AI on the consulting industry :

Substitution and Enhancement of Skills :
Generative AI is reshaping the consulting landscape by automating tasks and analyzing data, threatening roles focused on low-value tasks. However, it enhances specialized skills, allowing consultants to focus on more strategic activities.

Opportunities and Challenges :

Generative AI presents significant opportunities to increase productivity and the quality of work. However, it also presents challenges, particularly the need to understand data management processes and the associated security risks.

Conclusion :

Generative AI represents both an opportunity and a challenge for the consulting sector. It encourages consultants to evolve by developing new skills and learning to collaborate effectively with AI. The future of consulting lies in a harmonious balance between technology and human expertise, leading to more personalized, strategic, and high-quality service delivery.

AI Partners support you in this transformation :

Generative AI presents considerable opportunities to boost productivity and the quality of work. However, it also presents challenges, including the need to understand data management processes and associated security risks.

  1. Cultural Adaptation : This phase involves collecting and analyzing specific use cases for each sector and business.
  2. Identification des Use Cases : This phase involves collecting and analyzing specific use cases for each sector and business. By conducting interviews and group consultations, Delos gathers needs and expectations, enabling the launch of several projects tailored to each context.
  3. Framing and Deployment : After identifying the use cases, it is crucial to conduct feasibility studies and establish a roadmap. This step ensures that selected projects are not only feasible but also profitable and relevant. It includes evaluating development, operational costs, and the added value of each generative AI project.
  4. Deployment, Industrialization, and Updates: : Once the most promising projects have been identified and validated by POCs (Proofs of Concept), they are deployed on a larger scale.

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