AI role-play: negotiate a starting salary with a candidate
Magali has passed both interviews and is back to finalise her terms. She is asking for €50,000 gross a year; your budget stops at €40,000. It's up to you to reach an agreement.

The situation
You are a recruiter meeting Magali Veretout, 28, a candidate for an HR assistant role. She has passed two interviews and is back to finalise her employment terms.
She is asking for €50,000 gross a year. Your budget is capped at €40,000.

A talented, ambitious young graduate who knows her worth.
One-to-one conversation in a booked slot.
Your goal
- Acknowledge the strength of her profile before discussing salary.
- Build an attractive overall package despite the €10,000 gap.
- Secure a concrete commitment: an agreement in principle or a structured period to think it over.
What the debrief looks at
- Valuing her profile before the figures.
- Understanding what really matters to her.
- Stating the budget clearly, without beating about the bush.
- A creative package: benefits, a review clause, career progression.
- A formalised, dated next step.
Your turn
The trial runs in your browser, no account needed. Have a microphone ready and a few quiet minutes.
Your own scenarios, built on your real cases
Describe the situation
Your trainers describe the case to SAM, Face Up's authoring tool, and add their documents.
SAM builds the simulation
Persona, setting, scenario and debrief rubric, with no code, in more than 60 languages.
Your teams train
From Face Up or from your LMS, via SCORM or LTI 1.3, with a debrief after every session.
Frequently asked questions
How does this AI role-play work?
You lead the negotiation out loud with Magali, an AI persona who defends her request and reacts to your proposals, for up to 10 minutes.
Do I need an account to try it?
No. The trial runs directly in your browser, with no account and no credit card. Your browser only asks for access to your microphone.
What does the debrief cover?
The debrief goes through the levers of the negotiation: valuing her before the figures, understanding her priorities, stating the budget, building a package beyond base salary and formalising the next step.
Can we adapt this scenario to our own cases?
Yes. With the SAM authoring tool, your trainers describe the situation and start from your documents: SAM builds the persona, the scene, the scenario and the debrief rubric, with no code. Simulations then plug into your LMS via SCORM or LTI 1.3.

