DialogBot blends AI voice recognition with LLM-based replies to conduct live phone conversations. Here is the simplified flow from the moment a call connects to the moment it ends.Documentation Index
Fetch the complete documentation index at: https://docs.intellixent.ai/llms.txt
Use this file to discover all available pages before exploring further.
The call flow
A call is initiated
- Inbound: A customer dials your assigned phone number.
- Outbound: DialogBot system calls a list of phone numbers from your campaign.
Speech recognition
The AI listens to what the person says and transcribes it into text in real time.
LLM decision
DialogBot passes the transcription through a large language model (LLM) together with your configured system prompt. The model crafts a reply or decides the next action — such as transferring the call or booking an appointment.
Voice output
The AI’s response is converted to natural-sounding speech via the voice engine (powered by ElevenLabs or Cartesia voices) and played back to the caller.
Result and actions
- Inbound: The AI answers questions, verifies information, takes a message, or routes the caller.
- Outbound: The AI pitches a product, qualifies a lead, or transfers an interested caller to a human agent.
Inbound vs. outbound
- Inbound
- Outbound
- A customer dials a number you rented or integrated with your existing phone system.
- The AI answers, greets the caller, and handles queries or routes the caller if needed.
- Useful for customer support, appointment booking, FAQ handling, and more.
Next steps
- Learn the key terminology used throughout the platform.
- Head to core concepts to understand the building blocks before configuring your first assistant.