AI for HR

Thursday 28th of May 2026
SWECHAM / System in Motion

Gonzague Patinier

FTCC / SWECHAM / System in Motion

Building momentum across innovation and AI

  • Executive roundtables
  • AI & Digital Transformation workshops
  • Cross-industry collaboration
  • Talent & capability development

Webinar Guidelines

How to participate today

  • ๐Ÿ”‡ Mute your microphone to avoid background noise.
  • ๐Ÿ’ฌ Interact in the chat for questions and comments.
  • ๐Ÿค– Open ChatGPT or Gemini for the hands-on exercises.
  • ๐Ÿ”— Prompt templates: Open Prompt Library
Event Rules

Agenda Overview

A fast-paced 45-minute journey for HR Leaders

Agenda

Quick Survey

Help us tailor the session

Survey QR Code

Why This Webinar, Why Now

The urgency of AI in HR

Why This Webinar, Why Now

Today's Conversation

AI in HR โ€” the real issues

Today's Conversation

Quick Pulse Check

Where is your organization today?

Quick Pulse Check

Section 1: AI in Recruitment โ€” What's Actually Working

AI Across the Hiring Lifecycle

Where AI adds value at every stage

AI Across the Hiring Lifecycle

Role Design & Job Descriptions

AI-powered job design

Role Design & Job Descriptions

Sourcing, Screening & Shortlisting

AI-powered candidate discovery

Sourcing, Screening & Shortlisting

Candidate Experience & Employer Brand

Trust through transparency

Candidate Experience

Business Impact HR Leaders See

Measurable outcomes

Business Impact

Section 2: The Trust Gap โ€” Risks, Bias & Regulation

The Hidden Risks of Scaling AI

What can go wrong

Hidden Risks

Where AI Hiring Often Fails

Common pitfalls

Where AI Fails

Bias Isn't New โ€” But Scale Is

The multiplier effect

Bias Isn't New

The Legal Reality Has Changed

Compliance is no longer optional

Legal Reality

Key Regulations HR Should Know

Navigating the legal landscape

Key Regulations HR Should Know

The New HR Question

Beyond "should we use AI?"

The New HR Question

Section 3: HR AI Literacy โ€” The Missing Capability

What AI Literacy Means for HR

Understanding AI as a decisionโ€‘support tool

What AI Literacy Means for HR

What HR Teams Must Be Able to Do

Core capabilities for the AI era

What HR Teams Must Be Able to Do

AI Literacy Protects Trust

Why understanding matters

AI Literacy Protects Trust

Section 4: A Practical Trust Framework for HR

The Minimum Trust Infrastructure

Foundations for responsible AI use

Minimum Trust Infrastructure

Ownership & Escalation

Accountability in practice

Ownership & Escalation

Transparency & Continuous Review

Building trust through openness

Transparency & Continuous Review

Conclusion

Key Takeaways & Next Steps

What to do next

Key Takeaways & Next Steps

System in Motion Training

Deepen your expertise

System in Motion Training

Upcoming Training Calendar

Join us for our next sessions

Upcoming Training Calendar

Connect with Us

Gonzague Patinier

Gonzague Patinier

AI Strategy & Enterprise Transformation.
Focus: scaling GenAI pilots to production.

QR Code
system-in-motion.com

How This Presentation Was Made

Built with AI assistance

How This Presentation Was Made

Q&A & Discussion

Refining your AI strategy

Q&A & Discussion

Additional References

Prompt Engineering Masterclass

Architecting the Right Output

1. Prompt Engineering Basics

Framework: ACT AS / TASK / OUTPUT

  • ACT AS → Define the role
  • TASK → Specify what needs to be done
  • OUTPUT → Describe the expected format/result

2. Our Framework (ERCFC)

Structure:

  • E — Example
  • R — Role
  • C — Context
  • F — Format
  • C — Command

Session 1: Refining Use Cases

Hands-on Prompt Engineering

Task: Refine a loose idea into a structured AI Use Case.

ACT AS: AI Strategy Consultant
TASK: Refine the following logistics AI idea: [INSERT IDEA]
OUTPUT TEMPLATE:
- Project Objective: ...
- Inputs: [Data needed]
- Outputs: [Tangible result]
- Impact: [Key challenge solved]

Try with: "AI for automated customs forms" or "Classifying shipment delay predictors"

Prompt Practice Time
03:00

Share Your Use Cases!

Join the conversation in MS Teams

We want to hear from you!

  • Paste your refined use case in the MS Teams Chat.
  • Format: Project Objective, Inputs, Outputs, Impact.
  • We will select 1-2 examples to debrief live.
๐Ÿ’ฌ

MS Teams Chat

Session 2: Scope & Risk Planning

Hands-on Prompt Engineering

Scenario: AI-enhanced logistics automation for inbound shipment emails.

TASK: Define the Scope and Risks for this project.
PROMPT:
"Analyze a project to automate 5,000 monthly inbound shipment emails. Identify:
1. Boundaries (What is NOT included)
2. Top 3 technical/business risks
3. AI-driven mitigation strategies for each risk."
Prompt Practice Time
03:00

Session 3: Insights from AI Reports

Hands-on Prompt Engineering

Task: Transform raw AI data into a Stakeholder Communication.

DATA: "Shipment A-123 delayed 48h (Port congestion). AI predicted 15% more delays next week."

PROMPT: "Draft a concise stakeholder email that:
1. Reports the deviation clearly.
2. Proposes a mitigation based on the AI prediction.
3. Maintains a professional, proactive tone."
Prompt Practice Time
03:00