Build AI simulations for de-escalation, troubleshooting, and empathy-driven conversations. Learners respond in their own words, and the AI evaluates every conversation against your criteria.
Text or voice · Scored against your criteria · Results in your course and LMS
A few illustrative customer service scenarios. You write your own, with the characters, stakes, and details your learners actually face.
Example scenario
A frustrated customer wants a refund for an item bought 45 days ago. The learner acknowledges the frustration, explains the policy clearly, and offers what they can.
Example scenario
A customer is calling for the third time about the same outage. The learner takes ownership, avoids making them start over, and sets a clear next step.
Example scenario
A customer cannot sign in to their account. The learner walks them through the fix in plain language and checks that each step worked.
Example scenario
An angry customer demands to speak to a supervisor right away. The learner de-escalates and decides whether escalation is actually needed.
Describe who the learner is talking to and what they need to practice. The AI builds a working simulation with evaluation criteria you can edit.
Each learner is scored against the criteria you defined and gets feedback on their conversation. No manual grading.
Pass/fail and score are written to Storyline variables or reported to your LMS, and every transcript is ready for review.
Illustrative criteria a designer might write for this scenario. You set the criteria and the pass threshold.
We filled in an example. Edit it to match your learners, then build and play a short simulation.
Learners can talk with the character out loud instead of typing. Offer text, voice, or let each learner choose before the session starts.
The evaluator knows how long each session lasted, so criteria and deductions can reference call or chat duration.
Upload reference documents and attach them to a simulation or coach so the AI grounds its responses in your material. Included on Core and higher plans.
Link a coach to your simulations and it walks learners through what to improve in a personalized debrief afterward.
Discovery calls, objection handling, product positioning
Patient intake, difficult conversations, clinical communication
Performance reviews, conflict resolution, coaching
Policy enforcement, safety protocols, regulatory scenarios
Role-specific practice from day one, before live interactions
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