72%
of People Management professionals report using AI in their roles.
HireVue, 2025
Talent, Leadership and Personal Development
AI for People Management
Manage talent in a world shaped by AI
next edition 23 Oct 2026
duration 27 hours
study mode In person + online preparation
language Portuguese
investment €1,700
why this program?
As AI adoption accelerates, so does the regulatory pressure
89%
of surveyed employees recognize that they need reskilling.
ISACA, 2025
92%
of People Management leaders expect greater AI integration in their areas.
SHRM, 2026
93%
of recruiters plan to increase their use of AI in upcoming processes.
DemandSage, 2026
+75%
of AI systems for people management are classified as high risk under the EU AI Act.
Applied AI
up to 3%
of global turnover in fines provided for under the EU AI Act.
Reg. EU 2024/1689
who is this for?
Different backgrounds, shared challenges
Operations and People Directors and Managers
With responsibility for the strategy, operation or transformation of the function.
Transformation Leaders
Working in organizational and digital transformation with AI applied to people management.
Innovation and Technology Leaders
Working with Human Resources on AI adoption projects.
Talent and Development Managers
Responsible for learning, development or workforce planning.
Executive Team Members
From organizations with AI initiatives in People Management, either at an early stage or already underway.
what you will develop
Knowledge that translates into practice
Understand the Impact of AI on Work
Distinguish predictive, generative and agentic AI, and understand their impact on roles, skills and work.
Apply AI Across the Employee Lifecycle
Identify AI applications in planning, recruitment, development, performance and retention.
Make Decisions on AI Projects in People Management
Assess use cases, value, risk and strategic alignment, defining criteria to prioritize AI projects in People Management.
Adopt AI Responsibly
Frame projects with ethical, regulatory and governance criteria to reduce bias and risk.
why pbs?
4 reasons to choose this program
Active AI Prototyping
Development of solutions applied to People Management challenges, including Strategic Workforce Planning and performance prediction.
Experience in Analytics and People Management
Faculty with hands-on experience in machine learning, people analytics, talent management and organizational transformation.
Designed for Leaders Without a Technical AI Background
Build the autonomy to request, assess and supervise AI projects in People Management with greater judgment and responsibility.
Responsible AI Adoption
Governance, bias mitigation and legal frameworks applied to the use of AI in People Management.
expected impact
Outcomes that translate into value
For you
Make people-related decisions with greater confidence, using data and AI to support analysis and judgment.
Assess AI solutions for People Management using your own criteria and distinguish real value, limitations and implementation risks.
Communicate more effectively with data, technology and vendor teams by translating People Management needs into clearer, actionable requirements.
Identify AI application opportunities in your area, with attention to ethical, regulatory and organizational risks.
For your organization
Accelerate the maturity of the People Management function in AI adoption and move from intention to effective implementation.
Reduce the risk of poorly framed AI initiatives through criteria for value, risk, governance and responsibility.
Make better use of People Management data to support workforce planning, retention and performance decisions.
Increase alignment between People Management, technology and executive leadership through a shared language around AI and People Management.
Apply to AI for People Management
Start applicationCustomize this program for your team
Contact our Corporate Solutions team
opinion article
Apply AI to People Management with greater judgment
Where AI creates value and where human decision-making remains essential
Artificial intelligence already supports recruitment, learning, performance management and workforce planning. The challenge is to understand where it creates value, where human decision-making must remain central and which governance principles should guide its implementation.
In this article, explore immediate use cases, risks associated with automated decisions about people and criteria for applying AI to People Management with rigor, transparency and responsibility.
international recognition
Rankings that reinforce our results.
Financial Times
Executive Education 2026 Worldwide
program structure
From understanding AI to applying it in People Management
24 in-person hours and 3 hours of online preparation, across three blocks dedicated to understanding AI, anticipating talent and skills, and talent attraction, retention and performance. All blocks include real cases presented by executives and guest experts.
— Understanding AI Disruption11 hours · 3 hours online + 8 hours in person
An overview of trends and challenges in People Management, an introduction to predictive and agentic AI, responsible AI, AI project specification and business cases for AI. Faculty: Maria Antónia Cadilhe, Miguel Moreira da Silva and Francisca Almeida.
— Anticipating Talent and Skills Through AI8 hours · Filipa Ferreira and Miguel Moreira da Silva
Application of AI across the employee lifecycle, people analytics, strategic workforce planning and reskilling pathways supported by data and AI.
— Talent Attraction, Retention and Performance8 hours · Miguel Moreira da Silva
Use of AI in trustworthy recruitment, churn prediction, performance prediction and knowledge management with conversational AI.
how you will learn
Immersive learning
Strategic Workforce Planning with AI
A practical exercise in which participants build an AI-supported approach to strategic workforce planning, applied to a business scenario.
Performance Prediction
Build an AI agent applied to performance prediction, enabling participants to directly experience one of the most relevant AI applications in People Management.
Panels with Guest Speakers
Sessions with company executives who share real cases of AI application in people management across sectors such as energy, utilities and technology.
Structured Decision Discussions
Critical group analysis of real cases and dilemmas associated with AI adoption in People Management, across recruitment, retention, performance and responsible adoption contexts.
faculty
Program direction
Managing Partner at Wiimer, where he develops artificial intelligence and Big Data models for multiple industries. He is a Guest Professor at Porto Business School and Adjunct Professor of Artificial Intelligence at IE Business School. Throughout his career, he has led data, people analytics, strategic planning, and digital transformation areas at organizations such as REN […]
Faculty
LinkedIn — Maria CadilheMaria Cadilhe
Professora convidada da Porto Business School, da Faculdade de Engenharia da Universidade do Porto e da Faculdade de Psicologia e Ciências da Educação da Universidade do Porto. Nos últimos dez anos, Maria foi investigadora na Faculdade de Psicologia e Ciências da Educação da Universidade do Porto e leccionou nos programas de MBA Executivo e Digital […]
LinkedIn — Filipa FerreiraFilipa Ferreira
HR Lead with 10 years of experience in Employer Branding,Employee Experience, Organizational Culture, Talent Acquisition &Management, Leadership Development, Performance Management,Career Development & Succession Planning, Training &Development, Budget & Cost Management, Internal & ExternalCommunication and Project Management. Experience as HRBusiness Partner in retail sector, having been responsible forCorporate and Business areas (E-Commerce, Commercial Non-Food, information Systems, […]
LinkedIn — Francisca AlmeidaFrancisca Almeida
Chief Legal Officer and Head of AI Risk Advisory at Wiimer, where she leads AI Governance, data protection, and risk management in data and AI projects. She is an AIGP — Artificial Intelligence Governance Professional certified by the IAPP. With nearly two decades of experience in public law and regulation, she worked at Cuatrecasas and […]
INVESTMENT & TERMS
Prepare your application
Admission is subject to seat availability, so we recommend submitting your application as early as possible.
- early bird 5% discountUp to 1 month before the program starts€1,615 Save €85
- last call Standard feeUp to 1 week before the program starts€1,700 Subject to availability
Admissions Team
Meet the Admissions team
Get answers to your questions, assess how the program fits your development path, and learn about the application process, calendar, investment and next steps.
ai for people management
The next edition starts on October 23. Your decision starts now.
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