As we spoke with more and more teams trying to build and test complex AI agents, we realized that evaluating multi-turn agentic interactions is still a major challenge across use cases, from customer support to travel.
We are launching Maxim’s agent simulation to help teams save hundreds of hours in testing and optimizing AI agents.
Your customer support agents are the frontline of your business—but how do you ensure they’re truly excelling? Traditional evaluation methods are tedious and struggle to capture real-world complexities. That’s where simulations make the difference—replicating dynamic, multi-turn interactions to uncover gaps, optimize responses, and refine quality at scale.
The most pressing challenges with testing agentic interactions are:
