Simulations (Fin Simulations)
A testing tool that allows teams to run fully simulated customer conversations from start to finish before deploying changes to production. Shows how the AI Agent will respond, when it's reasoning, and where it passes or fails, enabling safe validation of complex workflows and procedures.
Validating AI Agent Changes Before They Go Live
Simulations enable teams to test AI Agent behavior in a safe environment before customers see it. You can run complete conversation scenarios to see exactly how the AI will respond, observe its reasoning process, identify where it succeeds or fails, and make adjustments before deployment. This dramatically reduces the risk of rolling out changes that could negatively impact customer experience.
This is particularly valuable when setting up complex Procedures or multi-step workflows. Before trusting the AI to handle refunds, cancellations, or technical troubleshooting with real customers, you can simulate those exact scenarios, verify that all steps execute correctly, and ensure the AI follows your business logic as intended.
Building a Library of Validated Workflows
All simulations are stored in a library that you can re-run whenever processes change. This creates a regression testing system for your AI Agent—when you update content, modify a procedure, or change system configuration, you can quickly verify that existing workflows still work correctly.
If a simulation reveals a problem, Fin's AI Assistant can suggest fixes you can apply immediately and re-test. This tight feedback loop makes it possible to iterate quickly and deploy with confidence, knowing that changes have been validated against realistic customer scenarios before reaching production.