AI Roleplay Agent Platform for Sales Teams

Simulate sales calls with AI-powered agents to refine skills, practice objection handling, and boost team performance.

AI Roleplay Agent Platform for Sales Teams

Client Overview

About the Project

A mid-sized B2B software company was struggling with inconsistent sales performance across its rapidly expanding team. New hires were being pushed into live calls before they had adequately rehearsed discovery, qualification, or objection-handling techniques. Experienced reps rarely had time to shadow junior colleagues, and traditional role-play sessions with managers were infrequent, unstructured, and ultimately insufficient for building real call confidence. The sales leadership team estimated that nearly 40% of early pipeline opportunities were being lost due to poor call execution rather than product-market fit issues. The organisation lacked a scalable mechanism for structured, repeatable practice. Training workshops were expensive to run, relied on manual facilitation, and could not adapt dynamically to individual rep weaknesses. Reps needed a safe environment to fail, receive specific feedback, and iterate quickly. Without a data-driven view of each rep's skill gaps — such as talking too much, failing to handle the pricing objection, or skipping discovery questions — coaching was largely anecdotal and reactive rather than proactive. Leadership recognised that the volume and quality of practice reps got before live calls was the single biggest lever available to improve conversion rates. They needed a platform that could simulate realistic buyer conversations at any time, adapt to different buyer personas, and provide objective, actionable scoring after every session.

Our Approach

The Solution

Zentric Solutions designed and built an AI-powered sales roleplay platform that allowed reps to practice realistic sales calls on demand against configurable AI buyer personas. The platform used OpenAI GPT-4 as the reasoning engine behind each simulated buyer, enabling the AI to respond to rep questions, raise authentic objections, shift sentiment based on how the conversation evolved, and even simulate different buying committee roles such as the technical evaluator, the economic buyer, and the resistant end user. Vapi AI was integrated to deliver the platform over natural voice channels using WebRTC, giving reps the authentic experience of a phone-based discovery call rather than a typed chat simulation. Each roleplay session was scored across a set of weighted competency dimensions: discovery question quality, objection acknowledgement and reframe, value articulation, next-step closing, and overall call structure. Post-call transcripts and scoring breakdowns were delivered automatically, allowing reps and managers to review specific moments in the conversation where performance diverged from best practice. The platform also generated personalised coaching recommendations after each session based on the rep's historical performance trends across multiple calls. Managers could configure custom buyer personas, pain points, industries, and objection profiles to mirror their actual target accounts. A rep preparing for a call with a healthcare CFO could practice against an AI that pushed back on compliance risk and budget constraints specific to that vertical. This made practice directly relevant to the pipeline each rep was actually working, compressing the gap between training and application significantly.

Tech Stack

OpenAI GPT-4Vapi AIPythonWebRTCNode.jsREST APIs

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Project Tags

AI AgentSales TrainingRoleplayVoice AILLMSales Enablement

Portfolio

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Common Questions

Frequently Asked Questions

Everything you need to know about this project and our approach.

Yes. The platform allows managers to configure buyer personas by industry, role, pain points, budget sensitivity, and common objection profiles. Reps can practice against AI buyers that closely mirror the prospects they are actually working in their pipeline.

The platform is built on voice using Vapi AI and WebRTC, giving reps the authentic experience of a phone call rather than a chat window. This builds the muscle memory and conversational confidence that text-based tools cannot replicate.

Sessions are scored across competency dimensions including discovery question quality, objection handling, value communication, and next-step closing. Each rep receives a post-call transcript, a scored breakdown, and AI-generated coaching suggestions based on their performance.

Yes. All sessions are logged with full transcripts and scoring data accessible in the manager dashboard. This allows sales leaders to spot recurring weaknesses across the team, identify which reps need additional coaching, and track individual progress over time.

Onboarding is straightforward. Reps can complete their first practice call within minutes of being added to the platform. No technical setup is required on the rep's side — they simply access the platform via browser and begin a session.

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