Negotiation training with AI

The difficult negotiation happens here first, not at the table.

Framework contract, annual review, supplier escalation, your own salary. You speak for ten minutes with an AI counterpart that defends its interests, deflects, and does not give in just because you apply pressure.

Start your first conversationFor teams: book a demo

3 conversations per month free · no credit card · servers in Germany

Live trainingSales

Practice your procurement case

Manufacturing & Industrial Equipment · Phone call

James pressures for list-price on your frame renewal

James Carter

James Carter

Skeptical manufacturing account director

In the production tower lobby, you dial James and ask for clarity on the renewal terms. He immediately speaks about a short interim patch instead of your planned pricing structure.

Frame renewal, but he redirects to a patch workaround

““We can’t talk renewal scope like that, it turns messy.””

What you'll practice

  • Qualify the patch boundaries
  • Tie value levers to renewal outcomes
  • Move from list-price to renewal logic
6.7

AI score

Anchor interim patch boundaries before discussing list-price

Practice now

3 free training conversations per month · no credit card · servers in Germany

Scenario examples

Rehearse negotiation situations realistically

Pick a scenario from the negotiation hub — terms, framework agreement or escalation — and jump straight into the AI role-play.

20 of 20 scenarios

Industry

Negotiation situation

James Carter

James Carter

Account Director

Manufacturing & Industrial EquipmentFrame agreement renewalInterim patch instead of contract fulfillmentAccount Director

In the production tower lobby, you dial James and ask for clarity on the renewal terms. He immediately speaks about a short interim patch instead of your planned pricing structure.

What you'll practise

  • Qualify the patch boundaries
  • Tie value levers to renewal outcomes
  • Move from list-price to renewal logic
„We can’t talk renewal scope like that, it turns messy.”
Open in generator

In the appScenario pre-filled, fully editable

Daniel Walker

Daniel Walker

Operations Lead

Machinery & industrial equipmentCompress delivery lead timeDemand extra scope without surchargeOperations Lead

At your conference desk in the plant, you catch Daniel at 4:10 p.m. before the tender comparison meeting. He keeps pointing to the checklist and then bundles extra scope into the urgent lead-time price.

What you'll practise

  • Reframe comparison criteria clearly
  • Control scope definitions in the quote
  • Name the personal cost of a wrong pick
„Your table is fine, but the risk is in the schedule.”
Open in generator

In the appScenario pre-filled, fully editable

Michael Brooks

Michael Brooks

Technical Service Lead

Logistics & TransportEnforce service escalationDeflect escalation to HQTechnical Service Lead

On a driver intake line, you call Michael to enforce the on-site technician timeline. He sounds tense and keeps saying the matter cannot go up yet while the shipment is already late.

What you'll practise

  • Clarify approval steps and timing
  • Reduce gatekeeper risk while escalating
  • Anchor next step to contract compliance
„If I escalate this wrong, my service plan collapses.”
Open in generator

In the appScenario pre-filled, fully editable

12 of 20 scenarios — more in the generator

Overall result

Example: How the AI evaluates your training conversation

Illustrative sample using the real 70/30 evaluation model — not a live score from a real training. After every role-play a separate AI analyses your transcript with score, goal feedback and quotes.

Two layers feed the overall score: scenario-specific goals (70%) and five core competencies for your training type (30%).

James Carter · James pressures for list-price on your frame renewal

Anchor interim patch boundaries before discussing list-price

Rating: Solid
Scenario goals · 70%Core competencies · 30%

70% scenario goals + 30% core competencies · Scale 0–10 · backed by quotes from your conversation

Pro tip

Use a boundary ladder: “Interim patch includes X, excludes Y, so renewal pricing stays tied to downtime and changeover impact for line 2.”

Only your wording is evaluated — not the AI counterpart's. The AI's opening of the conversation is not penalised.

Practice your procurement caseScale 0–10 · backed by quotes from your conversation
Two levels · AI role-plays

Wer hat das Problem?

On the left the organization's pain, on the right the situation one person practices.

Für Organisationen

When the outcome depends on who negotiates

For procurement leadership, sales leadership, and management. The pain spans many negotiations, not one.

Alle Lösungen ansehen
Für den Einzelnen

When this negotiation is coming up

Nine challenges, sorted by side of the table.

  • Rahmenvertrag verhandelnProcurement
  • Preis halten gegen den Profi-EinkaufProcurement
  • Aus Schwäche verhandeln (Single Source)Procurement
  • Lieferanten-Eskalation bei VerzugProcurement
  • Nachbesserung & Gutschrift durchsetzenProcurement
  • Preiserhöhung bei Bestandskunde durchsetzenSales
Context

In your role, in your industry

Generic is enough to show the principle. It becomes convincing when your own situation shows up in the scenario.

Honest

What Careertrainer is not built for

  • Not for contract drafting or legal review. We practice the conversation, not the clause.
  • Not for pure methodology without practice.
  • Not for negotiations that happen exactly once.
  • Not a replacement for a negotiation trainer. We are the practice in between.
  • Very strong dialects cannot yet be reproduced by the voice.
FAQ

FAQ — Negotiation

How does an AI role-play work at Careertrainer.ai?+

You choose or create a negotiation situation and then run a 5–15 minute live audio conversation with an AI counterpart that defends its interests. In that conversation you practice real phases: anchoring, clarifying objections, using concessions deliberately, and reaching a workable agreement. Right after, you get feedback on how you led and where you gave in too early. You can repeat the situation as often as you like to vary your strategy.

What feedback do I get after the conversation?+

After each negotiation, Careertrainer.ai scores you 70% against the goals of the specific situation and 30% against overarching skills – backed by moments from your own conversation. Concretely, you see whether you anchored cleanly, steered concessions, held pushback, and reached a durable agreement – or where you folded too early. Evaluation is independent of the instance that just negotiated with you. Gut feel becomes traceable negotiation competence you can improve over time.

Is it GDPR-compliant — what happens to my data?+

Careertrainer.ai is GDPR-compliant and hosted in Germany (EU) – relevant because negotiation scenarios quickly touch sensitive terms, prices, or supplier details. You decide how much real context you enter to practice realistically. Cross-tenant training on your data does not happen, and for teams reporting can be set up in aggregate and co-determination-friendly ways. Current data protection status is on our GDPR page.

What does it cost?+

You can start for free: 3 conversations per month at no charge, no credit card – ideal to practice an upcoming negotiation in advance. You convince yourself on your own case before you commit. For teams – e.g. in procurement or sales – with shared dashboard and larger rollout, there are matching team terms; the easiest path is a short demo. Training runs in the browser and on mobile, no setup.

What is the difference between negotiation and sales training?+

The core difference is the counterpart's intent: in sales, you want to lead someone to yes who could fundamentally buy. In negotiation, the counterpart wants to hold position and distribute value in their favor – nobody wants to be "convinced" here. So it is about anchoring, steering concessions, holding pushback, and reaching durable agreements, not needs creation. Careertrainer.ai models that dynamic on its own instead of treating negotiation as a subtype of selling – which is why negotiation is its own training type.

Does the AI give in too quickly when I apply pressure?+

No – and that is deliberate. In Careertrainer.ai, the AI counterpart does not concede just because you build pressure. A concession requires several conditions – a strong argument, a credible anchor, or a real trade. That avoids the most common realism problem in AI negotiation simulations, where the counterpart capitulates too soon and you build false confidence. You practice against a partner who holds position – just like in a real negotiation room.

Other training types

You do not only have one kind of conversation.

Negotiation rarely stands alone: in procurement comes supplier escalation, in leadership the salary demand from your top performer.

Customer service

Take complaints and de-escalate without getting pulled in.

  • Aufgebrachten Kunden deeskalieren
  • Berechtigte Beschwerde annehmen
  • Schlechte Nachricht überbringen
Go to customer service training
Holding price against procurement and answering a salary demand are connected through the archetype "negotiation". Whether at the table or in an employee conversation: once value is being distributed, the same rule applies – no concession without a trade.