AI NEGOTIATION LAB
Practice the conversation before it matters.
A Customer Success practice environment for renewal and commercial conversations. AI plays the customer role, challenges the CSM, and coaches the response while keeping value evidence and human judgment at the center.
The Problem
CSMs can understand the account and still be underprepared for a difficult customer conversation involving pricing, value, objections or competing priorities.
CSMs can understand the account and still be underprepared for a difficult customer conversation involving pricing, value, objections or competing priorities.
Why It Matters
In the moment, a CSM may concede too quickly, miss the real objection, weaken the value conversation or make commitments before fully understanding the customer's concern.
In the moment, a CSM may concede too quickly, miss the real objection, weaken the value conversation or make commitments before fully understanding the customer's concern.
How AI Helps
The AI Negotiation Lab gives the CSM a safe place to practice difficult conversations, receive targeted coaching and try again before having the real conversation with the customer.
The AI Negotiation Lab gives the CSM a safe place to practice difficult conversations, receive targeted coaching and try again before having the real conversation with the customer.
VALUE FIRST → UNDERSTAND THE OBJECTION → ASK BEFORE CONCEDING → TRADE, DON'T JUST GIVE → INTERNAL APPROVAL → HUMAN CLOSES
Set the conversation
Northstar Manufacturing is in a renewal discussion. Procurement has asked for a 10% reduction, and the customer has not said they intend to leave. The VP Finance champion departed six weeks ago; the Controller is now the primary contact and has not responded to two outreach attempts. Product usage declined 20% quarter over quarter. A high priority monthly close export ticket has been unresolved for 18 days. The customer requested multi entity consolidation during the Q2 QBR, and Finance has mentioned evaluating a couple of other tools without naming competitors or a timeline.
Value evidence available to the CSM
Original success goal: reduce manual work during monthly close. Verified outcome data is incomplete. The CSM may use customer data, transparent estimates, or relevant benchmarks, but must label estimates and never present them as verified customer outcomes.
Original success goal: reduce manual work during monthly close. Verified outcome data is incomplete. The CSM may use customer data, transparent estimates, or relevant benchmarks, but must label estimates and never present them as verified customer outcomes.
Customer response
Choose your approach and respond as the CSM. The simulated customer will react to what you actually say.
Coaching mode
Value
Discovery
Commercial Judgment
Negotiation Approach
Next Move
HOW IT WORKS
AI practices with the CSM. The CSM negotiates with the customer.
Choose scenario
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Practice
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Customer responds
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Get coaching
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Human leads
The Lab can explore commercial structures such as expanded scope or longer term commitments, but it never invents approved discounts, pricing authority, customer value, or contract terms.