Rehearse the negotiation before it happens
Learners negotiate turn by turn against an adaptive AI counterpart that pushes back. The engine grades their technique and returns a coaching review in about ten minutes, on web and native iOS and Android.
Two ways in. Pick the one that fits.
Teams
Train sales, procurement, customer success, and managers to hold their ground in real deals. We build scenarios to your accounts and report on how cohorts improve.
Explore ›Universities & exec ed
Embed a co-branded practice module inside a course. Single sign-on, gradebook integration, and cohort reporting come with the engagement.
Explore ›Three steps, about ten minutes
A learner reads a short brief, then starts the conversation. From the first line, they are negotiating a live case with something at stake.
Negotiate turn by turn
The learner makes an opening, sets an anchor, asks, listens, and responds in their own words, the way they would in the room.
The counterpart pushes back
It holds a position, guards a hidden agenda, concedes when earned, and shifts as the learner shifts.
The engine grades and coaches
When the session ends, the learner gets a review that names what worked, what to try next, and why.
Eight moves the engine grades in real time
Good negotiators are made of specific, repeatable moves. The engine watches for eight of them and scores how well each one landed against this counterpart. The learner sees the grade tied to a concrete moment in their own conversation, so the lesson belongs to them.
Every session ends with a graded review
When the conversation closes, the engine plays it back move by move. It scores each technique against this counterpart, names what worked, and gives the one thing to try next. The learner sees the grade tied to a moment in their own conversation.
Built to your real cases
Off-the-shelf role-play teaches a generic deal. We build the deals your people actually walk into. Together we define the storyline and setting, the counterpart and their agenda, the learner's goal, the hidden objectives that shift the outcome, and the difficulty. The result feels like your renewal call, your vendor table, your promotion conversation.
- Set the storyline and the setting.
- Cast the counterpart and give them an agenda.
- Fix the learner's goal and the hidden objectives that change the result.
- Tune the difficulty to the cohort.
Set up per engagement, handled with care
Deployment is arranged on request and configured for your program. We co-brand the module, connect single sign-on over SAML or LTI, integrate with your LMS and gradebook, and set up cohort reporting so you see how a group improves over time. Registration is required, so there is no anonymous access to the model. That is a security control. We sign a DPA, handle data in line with EU and GDPR expectations, and never use learner text to train models.
- Co-branding and single sign-on via SAML or LTI.
- LMS and gradebook integration with cohort reporting.
- Signed DPA and EU and GDPR-aligned handling.
- Learner text is never used to train models.
Questions buyers ask
What is an AI negotiation platform?
An AI negotiation platform lets a learner rehearse a real negotiation by talking turn by turn against an adaptive AI counterpart that pushes back. On NegotiateIt, the engine grades the learner's technique in real time and returns a coaching review, in about ten minutes per session on web and native iOS and Android.
How does NegotiateIt grade a negotiation?
The engine watches for eight techniques as the conversation unfolds: anchoring, mirroring, labeling, reframing, strategic silence, preempting objections, bracketing, and the walk-away (BATNA). It scores how well each move landed against this counterpart, then returns a review tied to specific moments in the learner's own conversation.
Can scenarios be built around our own cases?
Yes. We define the storyline and setting, the counterpart and their agenda, the learner's goal, the hidden objectives that shift the outcome, and the difficulty, built to your real cases.
How is our data handled?
Registration is required, so there is no anonymous access to the model, which is a security control. We sign a DPA, handle data in line with EU and GDPR expectations, and never use learner text to train models.
See it against a case from your own world
Built for companies and small teams. Book a walkthrough and we will show you the platform against a scenario from your world, then scope the right engagement with you.
Prefer email? Write to [email protected].