Sales Training Simulation Agent
Runs realistic AI-driven roleplay simulations against configurable buyer personas so reps can practice objection handling and receive instant, structured performance feedback.
New rep ramp and ongoing skill development typically rely on shadowing calls, occasional manager roleplay sessions, or generic e-learning modules that don't reflect how the organization's actual buyers object and negotiate
Manager-led roleplay doesn't scale beyond a handful of sessions per rep per quarter, and there is rarely a consistent, objective way to measure whether a rep's objection handling or discovery skills are actually improving over time
As a result, reps often hit live prospect calls under-prepared for the specific objections common to the company's market, and skill gaps go undiagnosed until they show up as lost deals
This agent runs configurable, voice or text-based roleplay simulations against realistic AI buyer personas modeled on the company's actual ICP and common objections drawn from real call data, then scores the rep's performance against a structured rubric (discovery quality, objection handling, next-step clarity) and delivers specific, actionable feedback immediately after each session
The agent is triggered on-demand by a rep or scheduled as part of an onboarding curriculum, presenting a configurable buyer persona (industry, seniority, common objections) built from patterns extracted from real call transcripts and win/loss data. It conducts a live conversational roleplay using LLM-driven dialogue that adapts to the rep's responses, staying in character and raising objections dynamically based on how the conversation unfolds. After the session, it scores the interaction against a structured rubric using LLM analysis of the transcript, compares performance to the rep's prior sessions and team benchmarks, and delivers a scored report with specific coaching recommendations to both the rep and their manager.
Configure the Simulation Scenario
- Select or auto-assign a buyer persona based on rep's role and skill gap area
- Pull common objections for that persona type from real call transcript patterns
- Set scenario difficulty and specific skill focus (discovery, negotiation, closing)
- Brief the rep on scenario context before the session starts
Conduct the Live Roleplay
- Engage the rep in a dynamic, voice or text-based conversation as the buyer persona
- Raise objections and ask questions consistent with the configured persona
- Adapt responses in real time based on how the rep handles each exchange
- Run the session to a natural conclusion (next steps agreed, or stalled)
Score Performance Against Rubric
- Analyze the transcript for discovery question quality and depth
- Evaluate objection handling technique against best-practice patterns
- Assess next-step clarity and overall conversation control
- Compare scores against the rep's historical sessions and team benchmark
Deliver Coaching Feedback
- Generate specific, example-based feedback tied to moments in the transcript
- Recommend a follow-up scenario targeting the weakest skill area
- Share the scored report with the rep's manager
- Track skill progression over time across repeated sessions