Digital Transformation: The Impact of AI on HR

Digital transformation is profoundly disrupting HR functions, particularly in demanding sectors like finance. Between administrative overload, the perceived complexity of artificial intelligence (AI), and the urgent need for skills development, HR leaders are facing unprecedented challenges.
However, if well integrated, AI can become a strategic lever for automating repetitive tasks, strengthening the added value of HR and optimizing the employee experience.
In this article, discover how to overcome the challenges of HR digitalization, harness the full potential of AI, and drive lasting change within your teams.

I. The challenges facing HR managers in the face of digital transformation 

1. Increasing workload and repetitive tasks

In the financial sector, HR managers face a backlog of recurring administrative tasks: performance management, talent tracking, regulatory compliance. These activities, while essential, consume a significant portion of work time, limiting the ability to focus on strategic initiatives.

Moreover, a study by Anact emphasizes that the workload includes the prescribed load (objectives, prescriptions) and the actual load (contingencies, adjustments), which can lead to overload for HR professionals. 

Another survey from Rosalye l’Anact reveals that 86% of employees believe that the financial mental burden impacts their daily work, highlighting the importance of effective human resource management to alleviate these pressures.

2. The perception of AI as a complex and inaccessible technology

Artificial intelligence is often perceived as a technology reserved for experts, which hinders its adoption within HR departments. This perception is further reinforced by a lack of understanding of the practical applications of AI in the field of human resources.

According to a Gartner study, only 38% of HR leaders have already explored or implemented AI solutions to improve the efficiency of their processes.gartner.fr.
Moreover, 68% of companies surveyed do not yet use AI, although 81% plan to invest in AI-driven solutions to automate and improve their recruitment processes.

3. The impact of these challenges on HR performance

Faced with administrative overload and a reluctance to adopt innovative technologies, HR managers are struggling to fulfill their strategic role within the organization. These obstacles limit their ability to anticipate and respond to market changes.

According to a McKinsey study estimates that AI could automate up to 45% of repetitive tasks in HR functions, freeing up time for higher value-added activities. 
At the same time,  a survey by DRH.ma, points out that 89% of professionals fear that AI will replace their jobs, although this fear does not necessarily reflect reality, as AI is designed to increase efficiency rather than replace existing positions. 

II. AI as a lever for transformation for HR (the impact of AI on HR)

1. Automate to free up time and increase HR added value

 The integration of artificial intelligence (AI) into HR processes offers a significant opportunity to automate these routine tasks.

According to a McKinsey study, adopting AI in business processes can lead to a productivity increase of 20 to 30% .

Moreover, une enquête de la Society for Human Resource Management reveals that “72% of HR professionals say that using automation and AI allows them to focus on more strategic and human tasks.” 

2. Supporting HR skills development through AI

Beyond task automation, AI can play a decisive role in developing the skills of HR professionals. 

By analyzing data on employee performance, training needs and feedback, AI can identify gaps and offer personalized training paths.

For example, AI-powered online learning systems can adapt educational content in real time based on each learner's progress and specific needs .

This personalization promotes more effective and engaging learning, thus contributing to the development of skills within the organization.

3. The necessary consideration of ethics and transparency in the use of HR AI

In a sector as sensitive as finance, the integration of artificial intelligence into HR processes cannot be done without careful consideration of the ethics and transparency of the algorithms used.

AI applied to human resources involves decisions that directly impact employees: candidate selection, performance evaluation, prediction of training needs, and even detection of attrition risks. These uses require increased vigilance to avoid algorithmic bias, guarantee non-discrimination, and ensure the traceability of decisions made.

4. Seamless integration with existing tools: a key challenge for successful transformation

To ensure successful integration, it is essential to choose AI solutions that offer pre-existing APIs and connectors allowing data to be synchronized between different systems. This approach minimizes the risks of silos of information and ensures that AI data is consistent with that of existing tools. Good integration management also avoids effort multipliers, allowing HR managers to save time on repetitive tasks while maintaining full control over the systems in place.

Furthermore, gradual adoption of AI tools, accompanied by appropriate training for HR teams, is an effective way to avoid resistance. It is essential that users can see and understand the direct impact of AI in their daily tasks, and that they are supported during the implementation of these new solutions.

Thus, AI, far from being a revolution that would disrupt existing processes, must be a tool to support the evolution of HR practices, in line with the tools already in place, while allowing to gain in efficiency and agility.

III. Change management specific to HR (the impact of AI on HR)

Digital transformation, and in particular the introduction of artificial intelligence into HR processes, requires a change management meticulous to ensure its success. Human resources, at the heart of this transition, must play a key role in supporting teams and in managing potential reluctance towards AI.

In a sector as strategic as finance, where HR processes are deeply rooted in the daily practices of employees, the change management is not simply about introducing a new technology. It requires a human-centered approach, taking into account both the concerns, les , expectations and the resistors HR professionals.

1. Raise awareness and train HR teams on the challenges of AI

A crucial first step in this change management is to raise awareness among HR teams to the advantages and concrete applications of AI in their professions.

Training must be targeted and progressive, adapting to the teams' level of expertise and providing them with practical tools to understand and use AI in their daily lives.

This upskilling phase is essential to dispel fears related to technology and enable faster and smoother adoption.

2. Adopt clear and transparent communication

HR employees must be transparently informed about the integration of AI into existing processes. It is important to clearly communicate the objectives of this transformation, explaining that AI is a support tool that aims to improve the efficiency of repetitive administrative tasks, not replace human roles.

Information meetings, practical workshops and feedback sessions can be organized to help teams plan for this new work organization.

3. Monitor and adjust the setup

Change management isn't a one-time action, but an ongoing process. Once AI is integrated, it's essential to regularly assess its impact, gather user feedback, and adjust practices based on needs and observed results. Specific performance indicators must be put in place to measure efficiency gains, but also to quickly identify and resolve potential adoption issues.

4. Involve HR as ambassadors of transformation

Finally, to successfully manage change, it is essential that HR leaders act as ambassadors for this transformation. As key players in the process, HR managers must embody change and actively promote the benefits of AI to their teams. Their role is to demonstrate the positive impact of AI on their own work, while maintaining a collaborative and inclusive approach.

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To go further in the reflection, we recommend this article on Securing your technological choices for a successful digital transformation;

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