Abstract: A computer-implemented method for automated AI-based conversation conduction is disclosed. The method includes generating a URL link for an end user and transmitting it via electronic messaging. Upon activation, a webhook listener detects the event and triggers an API request to a cloud-based telephony system, which establishes a real-time voice session and routes it to an NLP-based voice agent. The NLP-based voice agent synchronizes with an LLM-based AI agent, streaming the conversation and receiving AI-generated responses in real time for delivery to the end user. Simultaneously, the conversation is streamed to an LLM-based observer service implemented as a sidecar process, which detects anomalies using dynamically configurable function plug-ins. A transcript of the session is sent to the LLM-based AI agent for evaluation, and the resulting assessment is transmitted to a reviewer.