Agent Evaluation  

Welcome to AI Agent bootcamp!

Stress-test your AI workforce before putting them to work.

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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.  

Are your AI Agents ready?

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. 

Test readiness

Stress-test AI Agents across happy paths, failure scenarios and edge cases until you’re confident their performance meets your standards, every time. 

Quick QA

Ditch your current slow, manual QA with automated evaluations, instant scoring and insights that drive action. 

Built-in reliability

Keep performance consistent even when Agents evolve, flows shift, integrations update and foundation models change.

Agentic AI that keeps evolving

Real tests 

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.  

Evaluate at scale

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. 

Check connections  

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. 

Keep improving

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.  

So many questions…

Answer them with Simulator 

  • Did the AI Agent resolve the customer’s issue? 
  • Did the AI Agent stay within compliance and safety boundaries? 
  • Was the conversation clear, helpful and on brand? 
  • Was performance consistent across languages, regions and customer segments? 
  • Did all API calls, workflows and backend processes behave as expected, even in complex scenarios? 

CX with confidence

Test your AI workforce in a safe space, not with your customers! 

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