Deploy with confidence

You've built something genuinely good. You've tested it internally. You've reviewed the transcripts. But the moment you push to production, something unexpected happens. A prompt that worked in demos confuses real customers. An edge case you never considered breaks a flow.

Unintended consequences come with the process of building — and the only real fix is ultimate control over development and deployment.

This is the problem every team building AI agents eventually hits. Traditional software has staging environments, feature flags, canary releases. AI agents have had none of that — until now.

Voiceflow environments bring a proper branching model to agent development. Clone your production environment, develop your changes in isolation, then route a small slice of live traffic to the new version. Watch the data, compare the environment performance, and then merge when you're confident — and keep your customers uninterrupted the entire time.

In this workshop, Yuksel Tolun will walk you through the entire workflow live: from creating your first environment clone, setting up a traffic split, reading the analytics, and executing a clean merge. You'll leave with a deployment process you can apply immediately.