Smart Role: Elevate Your Support Team with AI-Powered Realistic Training

Smart Role is an innovative AI-powered support representative training platform that simulates real-world customer interactions using intelligent customer bots. Designed for customer service teams, it integrates seamlessly with existing tools like Zendesk and Intercom, enabling reps to practice through voice, email, and chat across 81 ready-to-use scenarios—plus custom ones tailored to your brand, products, and personas. With real-time, objective feedback and actionable coaching insights, it helps improve soft skills, product knowledge, and response accuracy. Managers gain visibility into performance through detailed reports and skills-mapping, while advanced security and analytics ensure compliance and data integrity. The platform supports all languages and offers scalable plans to meet evolving team needs.

Key Features:

• AI Customer Bots for realistic conversation simulation
• Integration with support tools (Zendesk, Intercom, and more)
• Real-time objective feedback on performance
• Multi-channel practice: voice, email, and chat
• 81 ready-to-use training scenarios
• Custom scenario and persona creation
• Skills-mapping and targeted coaching recommendations
• Advanced coaching and custom scorecards
• 3rd party integrations and advanced analytics
• SOC 2 Type II Compliant with enhanced security (Ultimate plan)
• Language support across all major languages
• Actionable performance reports for managers

Pricing: Smart Role offers a Free plan with 10 sessions and basic reporting, no credit card required. Paid plans include Entry at €239/month (150 sessions), Standard at €559/month (400 sessions), and Ultimate with custom pricing and unlimited sessions. Yearly billing provides a 20% discount.

Conclusion: Smart Role is a transformative training solution that combines realistic AI simulations with intelligent coaching and analytics, making it ideal for teams aiming to build confident, skilled support representatives—efficiently, securely, and at scale.