Announcing Evals and Releases: Evaluate Fin before, during, and after you go live
Intercom has introduced a dedicated evaluation system for its AI agent, Fin, enabling pre-deployment testing and post-deployment performance monitoring. This release provides tools for controlled rollouts and systematic analysis of live AI-driven conversations.
Verified State Diff
Impact & Verification Analysis
Customer support operations teams, AI engineers, and enterprise administrators managing Fin deployments.
This reduces the risk of 'hallucinations' or unintended behavior in production AI agents by introducing standard software engineering practices—testing and staging—to customer-facing AI workflows.
Full Fact Overview
The new 'Evals and Releases' framework provides a structured lifecycle management tool for Fin, Intercom's AI support agent. It addresses the 'black box' problem in LLM deployment by allowing developers to run test suites against Fin's configuration before pushing changes to production. The system includes versioning capabilities for rollouts and an observability layer to audit live interactions, effectively moving Fin from a static configuration model to a CI/CD-style deployment workflow.