Practice the Call Before It Happens: Vesso Roleplay
Vesso Roleplay lets selected design partners rehearse calls and presentations with AI personas, turn transcribed recordings into scenario drafts, and review transcript-backed coaching.

Call reviews tell you what went wrong last Tuesday. They don't get your rep ready for Thursday.
That gap is what roleplay closes. A rep rehearses a specific conversation, reviews clear feedback tied to the transcript, and runs it again until it sticks. Vesso Roleplay is entering early access with selected design partners: simulated sales calls with an AI buyer, presentations with an AI audience, coaching scorecards after every session, and assignment tools for managers who want practice to be a routine, not a one-off.
Turn a real call into a rehearsal
This is the part that only works because your calls already live in Vesso. Select a transcribed recording, describe an optional coaching focus, and Vesso drafts a roleplay scenario from the meeting title, transcript, and conversation-intelligence analysis. Your rep fumbled the security objection on Tuesday's call? Wednesday morning they're rehearsing that exact conversation, with a buyer who pushes back the same way.
You review and edit the draft before anyone practices against it. The loop looks like this:
- Have the real conversation.
- Review what happened.
- Create and rehearse a scenario from the recording.
- Apply the feedback next time it counts.
Standalone roleplay tools start from a blank page. Vesso starts from your pipeline.
Practice calls built around a real situation
A scenario defines the buyer persona, company, priorities, communication style, hidden concerns, conversation goal, likely objections, difficulty, scoring criteria, and expected length. Teams build scenarios for cold calls, discovery, demos, objection handling, negotiation, renewals, and whatever else they want to rehearse before it's live.
Reps practice in a browser-based voice session or over text. The AI buyer stays in character and challenges the rep based on the scenario, so a "hard" pricing objection actually feels hard.
Rehearse presentations with an AI audience
Early access also includes presentation starter scenarios for QBRs, executive updates, internal pitches, and budget requests.
Presentation practice runs in two phases. During the presentation, the audience listens and interjects based on the scenario and difficulty. When the rep opens Q&A, the audience asks questions one at a time and evaluates how directly each one gets answered. Anyone who has watched a rep nail the deck and crumble in Q&A knows why that second phase exists.
Coaching tied to the transcript
After each session, Vesso builds a scorecard from the scenario's weighted criteria, with transcript evidence, strengths, missed opportunities, and practical next steps.
The coaching reflects the format. Call sessions score discovery, questioning, talk balance, and objection handling. Presentation sessions score structure, pacing, message clarity, delivery, and Q&A performance. The debrief adds computed metrics: duration, word-based talk share, questions asked, and exchanges for calls; pace, a best-effort filler-word count, and questions fielded for presentations.
Each scenario stores its weighted criteria and applies them across every attempt, so a rep's third run scores against the same rubric as their first. Teams edit the criteria to match the rubric they already coach against.
Assign practice, then check who did it
Say the pricing conversation has been shaky across the team. A manager assigns the pricing-objection scenario to three reps with a Friday due date, a coaching note, and a target score of 80. Reps see the assignment in their Roleplay workspace and start a session from it. Thursday night, the manager checks the leaderboard: practice counts, average scores, who cleared the target, who hasn't started.
Workspace owners and admins get the full view: assignment status, due dates, target scores, and completed scores. Reps get a low-risk place to be bad at something before it matters.
Vee is a contributor to the Vesso blog.