Synthesia’s AI training platform is moving beyond videos into live coaching

What it does

Synthesia has launched AI Roleplay Sessions, a new addition to its AI training platform that moves beyond static video content to interactive, live coaching. The platform uses AI avatars to simulate workplace conversations where employees can practice scenarios like customer interactions or conflict resolution. These avatars provide real-time feedback, scoring, and detailed analytics on conversation performance. The tool targets enterprise training by turning passive video lessons into active roleplay exercises.

Why it matters

Training effectiveness has long been hard to quantify, with many companies relying on one-way video content that offers limited engagement or measurable skill development. Synthesia’s AI Roleplay Sessions put measurable data behind training conversations. By scoring and analyzing user interactions, companies can track skill improvement and tailor programs based on performance insights. This puts pressure on traditional e-learning vendors to deliver measurable outcomes rather than just content consumption metrics. It also risks raising expectations for AI coaching platforms to prove actual performance gains, not just engagement.

Who it is for

This platform is designed for enterprises with significant investments in workforce training, especially in customer-facing or communication-intense roles. HR teams and training managers can use the data to identify skill gaps and improve onboarding processes. It should appeal to companies aiming to scale personalized coaching without the time or cost overhead of live instructors. Builders and developers building integrated learning systems might find value in how the platform blends AI-driven interaction with analytics.

The catch

While AI Roleplay Sessions enable interactive practice, the effectiveness depends on the quality of AI-generated feedback. Real-world communication nuances can be complex, and overreliance on AI avatars may miss emotional or cultural context. The platform also requires companies to invest in training program redesigns to incorporate live roleplay, which may slow adoption. There is a risk that users could game the scoring system, so outcome validation remains critical. Lastly, enterprise buyers will want clarity around data privacy and integration with existing learning management systems.

What to watch next

The next sign of traction will be enterprise adoption rates and case studies proving improved training outcomes. Watch for partnerships with large HR software providers or learning management system vendors that could embed these AI roleplay capabilities. Competitors could respond by adding AI coaching features emphasizing feedback and analytics. Additionally, how well Synthesia’s platform handles diverse languages, accents, and cultural variations will be crucial for global deployments. Ongoing refinement in AI scoring accuracy will determine if this approach becomes a training standard or remains a niche tool.

AI Quick Briefs Editorial Desk