Let's make every customer experience better than the last, together.
Decide exactly how your AI agent responds at each point in the conversation, from fixed scripts to generative responses to custom prompts.
The most common way to build an AI agent today is to write instructions in plain language and let the black box LLM take full control. It's fast, and for much of the conversation, it works.
The catch is that a natural-language instruction still has to be interpreted. Usually the model gets it right. Then a customer phrases something unusually, and the agent does something slightly different. Nobody can say exactly why, because the rule lived in a paragraph rather than in anything fixed. At scale, this leads to dangerous hallucinations that will hurt your brand.
Zenarate Evolve pairs conversational flexibility with deterministic control, and puts the choice in your hands. At every point in the conversation, you decide what governs the response: an exact script, a generative script, or a custom prompt.
Anything carrying compliance or financial risk can sit in code and behave the same way every time. The disclosure is always read as written. The refund limit is always the refund limit. Meanwhile, the moments where a customer just needs a helpful, human-sounding answer stay flexible, because that's where flexibility helps.
This makes your AI agent far easier to defend to compliance, legal, and risk teams. When someone asks how you know the agent follows a policy, you don't have to point to test results and hope they hold. You can show them where the rule lives.
Your business logic is followed 100% of the time, and you always know where to find it.
Product Team