Case Study: Roojoom achieves enterprise-grade AI agent quality control with LangWatch

How Roojoom automates AI Agent Quality Control with LangWatch Scenario

Roojoom, a company delivering AI-powered customer journey orchestration, faced the challenge of scaling its quality assurance processes for complex, multi-step AI agents as its client base grew. Their traditional manual QA methods were insufficient for enterprise reliability, creating a risk that issues would impact real users. To address this, Roojoom implemented LangWatch and its Scenario Testing product to automate their evaluations.

The solution from LangWatch involved creating automated agent simulations to validate complete workflows against defined success criteria using an LLM judge. This allowed Roojoom to detect regressions early and integrate testing directly into their CI/CD pipeline, blocking any code changes that caused failures. The results gave Roojoom enterprise-grade quality baselines and the confidence to ship new AI features rapidly, moving them from reactive bug-fixing to proactive, industry-leading quality assurance.

Roojoom

Amit Huli

Head of AI