What tests need to be conducted before an AI Agent goes online?

Before an AI Agent goes live, rigorous testing across functionality, security, ethics, performance, and usability is essential to ensure reliability and safety. This validates its readiness for deployment to real users.

Functional testing confirms the agent correctly performs its core tasks and responds accurately to diverse inputs. Security testing checks for vulnerabilities like prompt injection and data breaches. Rigorous bias and fairness testing identifies and mitigates discriminatory outputs. Performance and load testing ensure stability under expected and peak traffic. User Acceptance Testing (UAT) with target users assesses real-world usability and satisfaction.

These tests build user trust by verifying the AI operates correctly, securely, and fairly under load. Successful completion minimizes operational risks and the potential for reputational harm. Ultimately, comprehensive pre-launch testing enables responsible deployment and delivers intended business value safely.