Course : HR: Transforming Talent Management with AI

Develop and retain your talent with responsible, high-performance AI

Practical course - 2d - 14h00 - Ref. AAY
Price : 1620 € E.T.

HR: Transforming Talent Management with AI

Develop and retain your talent with responsible, high-performance AI


New course

Artificial intelligence is fundamentally redefining talent management practices, from skills acquisition to employee retention. HR departments must now leverage the capabilities of AI to improve decision-making, anticipate future needs, and personalize career paths, while managing the associated legal and ethical risks. This training course helps participants identify high-value-added applications, understand the organizational impacts of AI, and develop a pragmatic approach to integrating AI into the HR function.


INTER
IN-HOUSE
CUSTOM

Practical course in person or remote class
Disponible en anglais, à la demande

Ref. AAY
  2d - 14h00
1620 € E.T.




Artificial intelligence is fundamentally redefining talent management practices, from skills acquisition to employee retention. HR departments must now leverage the capabilities of AI to improve decision-making, anticipate future needs, and personalize career paths, while managing the associated legal and ethical risks. This training course helps participants identify high-value-added applications, understand the organizational impacts of AI, and develop a pragmatic approach to integrating AI into the HR function.


Teaching objectives
At the end of the training, the participant will be able to:
Map AI use cases throughout the talent lifecycle and assess their added value for the organization
Build a dynamic competency framework by leveraging AI's analytical and recommendation capabilities
Leveraging AI to Anticipate Skills Needs and Manage Internal Mobility as Part of Workforce Planning
Analyze the legal, ethical, and organizational risks associated with the use of AI in HR processes
Develop an operational roadmap for integrating AI into your HR function using measurable performance metrics

Intended audience
Human Resources Directors and Managers, HR Development Managers, Recruitment Managers, Talent Management Managers, HR Business Partners, Training Managers, Workforce Planning Managers, HR Transformation Managers, and HR Consultants.

Prerequisites
None

Practical details
A mix of methodological presentations, demonstrations, case studies, and hands-on workshops. Individual exercises, pair work, and small-group activities.

Course schedule

1
Understanding the Impact of AI on Talent Management

  • Identify the main types of AI used in HR processes: generative AI, predictive AI, analytical AI, and chatbots
  • Analyze changes in the role of the HR function in the face of automation and an increase in decision-making
  • Mapping the Stages of the Talent Lifecycle Affected by AI
  • Assess the expected benefits: increased productivity, improved employee experience, better decision-making, and personalized employee journeys
  • Identifying the Current Limitations of AI Solutions Applied to Human Resources
Hands-on work
Conducting a collaborative workshop in small groups aimed at mapping participants’ HR processes and identifying opportunities for using AI. Collective analysis of several case studies of companies that have integrated AI into their HR practices. Development of a “business value/feasibility” matrix to prioritize high-impact use cases.

2
Using AI to Recruit and Develop Talent

  • Leveraging AI to Optimize Sourcing and Identification of Desired Candidates
  • Develop evaluation criteria for candidates based on an objective competency framework
  • Use AI assistants to write job postings, prepare for interviews, and review applications
  • Customize onboarding and development pathways using AI-generated recommendations
  • Measuring the Impact of AI on Improving the Candidate and Employee Experience
Hands-on work
A case study conducted in pairs based on a recruitment need. Use of generative AI tools to create a job posting, develop an interview guide, and analyze candidate profiles. Workshop to critically evaluate the results obtained in order to identify potential biases and determine corrective actions to be implemented.

3
Building a Dynamic Competency Framework and Managing Talent

  • Identify the strategic competencies needed to transform the organization
  • Developing a dynamic competency framework based on data related to business functions, jobs, and training
  • Using AI to Identify Emerging Skills and Skills Gaps
  • Align available talent with the company's current and future needs
  • Develop personalized skill-building pathways based on the analyses conducted
Hands-on work
Workshop on designing an AI-assisted competency framework. Participants work in groups on a business case study and map out key competencies. The exercise involves analyzing the gaps between current competencies and target competencies in order to propose tailored development action plans.

4
Implement AI-Enhanced Workforce Planning

  • Analyze relevant HR data to anticipate future workforce and skills needs
  • Use AI predictive models to identify risks of shortages or overcapacity
  • Identify opportunities for internal mobility and talent reassignment
  • Define prospective scenarios for the evolution of occupations and skills
  • Develop performance metrics to track the effectiveness of the actions taken
Hands-on work
Group case study on a business transformation scenario. Analysis of simplified HR data to identify skills gaps and future needs. Development of a workforce planning strategy that incorporates internal mobility, recruitment, and skills development. Group presentation and comparison of the scenarios developed.

5
Managing the Use of AI in HR and Developing a Roadmap

  • Identify the regulatory requirements applicable to the use of AI in HR processes, including the GDPR and the European AI Act
  • Analyze the risks associated with algorithmic bias, discrimination, and a lack of transparency in systems
  • Define the principles of responsible AI governance within the HR function
  • Develop performance and monitoring metrics for HR AI projects
  • Developing a roadmap for gradual integration tailored to your organizational context
Hands-on work
Individual HR AI maturity assessment based on a provided evaluation grid. Collaborative workshop to develop a best-practices charter for the use of AI in human resources. Development of a customized roadmap incorporating priorities, success metrics, risks, stakeholders, and a deployment timeline. Presentation of action plans to the group with peer feedback.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.

Dates and locations
Select your location or opt for the remote class then choose your date.
Remote class

Dernières places
Date garantie en présentiel ou à distance
Session garantie

REMOTE CLASS
2026 : 3 Dec.

2027 : 18 Feb., 31 May, 9 Sep., 15 Nov.

PARIS LA DÉFENSE
2027 : 11 Feb., 24 May, 2 Sep., 8 Nov.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.