Shape the agent
Give the AI voice agent a clear purpose, system prompt, collection goals, boundaries, and ending behavior.
AI voice calling operations
teleCaller is an AI voice calling platform for teams that need one focused workspace to configure agents, organize caller lists, launch outbound assignments, and review call-session evidence.
One operational loop
Configure the operational inputs first, then use real session outcomes to refine what happens next.
Give the AI voice agent a clear purpose, system prompt, collection goals, boundaries, and ending behavior.
Create a typed caller list, add records, or import a validated CSV containing the fields the agent needs.
Create an outbound assignment, follow call-session outcomes, and review available recordings before changing the agent.
Frequently asked questions
A concise view of the product, its operating workflow, and how teams improve AI voice agents using call-session evidence.
teleCaller is an AI voice calling operations platform for configuring voice agents, organizing caller data, creating outbound assignments, and reviewing call sessions from one dashboard.
Each agent has a focused identity and system prompt. The prompt can define the call goal, information to collect, operational boundaries, and how the conversation should end.
Teams can create lists with typed fields, add individual records, or import caller records from a validated CSV file before using the list in an assignment.
Review completed and failed call sessions, inspect available recordings, adjust one instruction at a time, and compare later session evidence before making another change.
Practical guidance
Start with one goal, define the information the agent must collect, and specify when the conversation should end.