24 July 2025
AI agents operate with a level of autonomy that introduces unique testing challenges — from long-term memory consistency to goal-based behavior and ethical reliability.
This presentation outlines how we test AI agents — autonomous systems designed to plan, decide, and respond over time. Our process focuses on real-world performance, with attention to the following key areas:
- checking planning and decision-making logic,
- simulating goal-driven user scenarios,
- verifying memory stability,
- detecting flawed reasoning and bias,
- integrating QA into CI/CD flows.
Fill out the form to get the presentation and learn how we help ensure your AI agent makes the right decisions, adapts reliably, and stays aligned with user goals and expectations.