Agent Evaluation
Welcome to AI Agent bootcamp!
Stress-test your AI workforce before putting them to work.
Agent Evaluation
Stress-test your AI workforce before putting them to work.
Feeling nervous about clicking that big ‘go live’ button? How about a trial run then? With Simulator, you can put your AI Agents through their paces across thousands of realistic conversations, so you can see how they perform before they officially get to work.
AI Agents are popping up everywhere, but most are just launched with blind faith and fingers crossed. Simulator takes away the guesswork (and panic!) by running large-scale evaluations that give you the data on whether your AI Agents are ready to launch.
Stress-test AI Agents across happy paths, failure scenarios and edge cases until you’re confident their performance meets your standards, every time.
Ditch your current slow, manual QA with automated evaluations, instant scoring and insights that drive action.
Keep performance consistent even when Agents evolve, flows shift, integrations update and foundation models change.
Evaluate your agents in realistic test scenarios involving digital customers that use real language patterns, intents and behavioural edge cases. And with each scenario built with a persona, mission and success criteria, results are measurable, not subjective. Choose between creating your own scenarios or use existing AI Agents and real-world transcripts to generate them for you.
Launch simulations as needed, schedule regular tests, or combine with automated regression testing – whatever works for your business! Simulator allows you to run broad sets of conversations with natural variations, to quickly highlight rare behaviours that can only be found through extensive, automated testing.
AI Agents rely on multiple APIs and backend systems, which means they can be at risk of timeouts, server failures and authentication issues. Simulator lets you mock-up these third-party responses, so you can see how your Agents will react and get things working in a safe space.
Automatically score AI Agents against your criteria to assess performance. Take a closer look at failed conversations to understand what went wrong and how to fix it. Keep monitoring over time to spot regressions early and see how your updates affect things.
Test your AI workforce in a safe space, not with your customers!