AI as a Game-Changer in HR
How HR professionals at the People + Culture Group Lucerne live event were asked the leadership question behind AI: employee lifecycle, algorithm bias, the CRAP test, and digital sovereignty, interactive, with live Mentimeter calibration and two breakout rounds.
The starting point
600 applications. 589 unread. Who decided that? This was no rhetorical trick, it was the core of the evening: AI makes HR decisions every day, often without leadership knowing or consciously choosing it.
The People + Culture Group Lucerne hosted an evening event with impulses, breakout discussions, and an apéro. The audience: HR professionals and people & culture managers, many with opinions, some sceptical, all curious. The brief was clear: no tool parade, just the leadership question.
What we did
Hook · Thesis · Mentimeter · Employee Lifecycle
Cold start with the 600-applications hook. Three Menti questions calibrate the room anonymously: which AI tools do we use, do we have a policy, how far along are we? Then the thesis: AI in HR is a leadership question, not an IT topic.
Where is AI already running in your org, without a conscious decision?
Ten minutes with the person next to you. Three answers back to the group: where has AI taken over without anyone saying yes? Most common answer: application screening.
Algorithm bias · EU AI Act
Amazon 2018: a recruiting algorithm discriminated against women because it learned from historical data. The algorithm doesn't discriminate. It learns from us. Plus the framing: recruiting AI is classified as high-risk under the EU AI Act, and the lever is a rulebook.
Do you have an AI rulebook? What's in it, what's still missing?
The direct question about an AI policy including a training concept. Almost no hands for both. That is exactly the point: the leadership task is still open.
CRAP test live · Digital sovereignty · Open question
Live demo on crapcheck.ai: an AI-generated text checked and improved in 90 seconds. Then the GPS analogy for cognitive outsourcing. Closing left open: the question that remains is the job of the apéro.
Methodology
Live Mentimeter calibration
Three anonymous questions at the start: tools, policy, AI readiness. The room sees itself; no one has to expose themselves, and the impulses are adjusted live.
Breakout discussion rounds
Two rounds of 10 minutes with the person next to you. Questions stay open. Answers come from the room, not the stage.
Live CRAP test demo
crapcheck.ai live in front of the audience: Credibility, Relevance, Accuracy, Purpose. An AI-generated text checked and improved in 90 seconds. A tool to take home.
What participants took home
AI as a leadership question
AI in HR is not an IT topic. Who controls what the AI learns, how it decides, and where humans take responsibility is a leadership task.
The evolving employee lifecycle
From application to exit: where AI is already in use today, often without a conscious decision. Without an overview, you cannot steer.
Recognising algorithm bias
Amazon 2018 as evidence: models learn from historical data and reproduce structural inequalities. Bias awareness is not optional, it is mandatory.
CRAP test for AI-generated text
Credibility, Relevance, Accuracy, Purpose: four questions that make any AI output verifiable. Applicable in 90 seconds, available at crapcheck.ai.
Digital sovereignty
Cognitive outsourcing has a price: whoever never decides without AI loses their own judgement. Staying in control of decisions is the goal.
From the deck
Tools used
Claude Code for the team: AI-native infrastructure, AI knowledge base, training for 8+ team members.
Walking the talk: AI-native infrastructure for instant lead qualification and scalable onboarding.
Receipt processing automated: over 20 hours per week reclaimed for advisory.
10–15 hours saved per week: clean document pipeline from client intake to accounting.
From concept to fully automated inbound machine, in weeks.
40% fewer no-shows and 100% digital bookings: more time for the craft.
Bookings fully automated: zero missed inquiries, 85% fewer no-shows.
The outcome
"HR makes AI-assisted decisions every day, in screening, planning, and communication. The question is no longer whether AI is being used. The question is who controls it."
Lukas Huber, schnellstart.ai