12 August 2025
Operational failures of an AI agent in production can lead to data loss, poor user experience, and security risks. These issues directly affect user trust, product adoption, and overall business success. That’s why it is critical to ensure the AI agent operates correctly before it interacts with real users. Rigorous pre-release testing helps to identify weaknesses early and confirm consistent, reliable behavior in real-world conditions.
To simplify this process, we’ve prepared a checklist that helps you:
- Assess the current operational status of your AI agent
- Detect weaknesses and potential high-risk areas
- Outline the next steps for preparing the product for launch
Download the checklist and make sure your AI agent is release-ready.