Customer Service Simulation

This AI-driven simulation platform provides a realistic, interactive training environment where learners take on the role of a technician handling customer service and troubleshooting scenarios. Unlike traditional chatbot-based training, this system places an AI-controlled character in a fully functional 3D space, where they not only engage in natural conversations but also react dynamically, perform real actions, and adapt based on the learner's choices.

Overview

Real-Time AI-Driven Characters
AI characters don’t just talk—they express frustration, relief, and patience through facial expressions, tone of voice, and body language, reacting naturally to the learner’s approach.
Functional 3D Environment
The AI interacts with the environment in unexpected and realistic ways—from hanging up on an unhelpful technician to taking live photos of objects in the scene to share in the chat.
Structured Troubleshooting System
AI follows real-world logic rather than making things up—if a WiFi router needs to be restarted, the AI must actually perform the action before the issue can be resolved.
Intelligent Performance Review
After each session, a second AI analyzes the conversation, grading performance using a customizable rubric and providing insightful, scenario-specific feedback.
Easily Expandable
New simulations can be created and deployed using a simple JSON-like scripting system, making it easy to add fresh training content without modifying the core system.

SCREENSHOT GALLERY

AI characters express frustration, relief, and patience dynamically.

AI operates in a real 3D space, capturing live images from its in-game camera.

Post-session AI analysis provides detailed, actionable feedback.

Example AI feedback—customized based on the scenario.

New simulations can be built quickly using a simple scripting system.

Highlights

AI-Controlled 3D Characters
- React emotionally and logically based on how the conversation unfolds.
- Perform real actions like ending a call out of frustration, taking photos, or manipulating objects in the scene.
Deeply Interactive Training
- AI operates within a real, functional 3D environment—not just a text-based script.
- Learners must guide the AI through troubleshooting steps, ensuring a realistic problem-solving experience.
Preventing AI Hallucination
- AI actions are grounded in a state-driven system, ensuring it only performs logical, real-world solutions rather than inventing fixes.
AI-Powered Feedback & Scoring
- A second AI reviews the transcript, providing tailored feedback based on scenario-specific grading criteria.
- Feedback is actionable, insightful, and unique to each session.
Scalable & Modular
- Training designers can build and deploy new simulations easily, defining situations, environments, and AI behavior through a scripting system.
- Allows for continuous expansion and improvement.

Conclusion

This platform blends AI-driven conversation, real-world troubleshooting, and interactive 3D environments into a highly immersive customer service training tool. By allowing AI characters to act naturally within their surroundings, it creates surprising, engaging, and dynamic scenarios that better prepare learners for real customer interactions.