Voice operationsVoice agents / real-time operations
AVENLO
A working voice agent showcase in which four companies each have their own voice, knowledge, brand world and limited business flow.
Live real-time proof · follow-up actions simulatedThe case in 30 seconds
AVENLO
- Problem
- A working voice agent showcase in which four companies each have their own voice, knowledge, brand world and limited business flow.
- Solution
- Four real-time voice agents, four brand worlds, and one bilingual phone experience with bounded business actions.
- Role and focus
- Voice, WebRTC, function calling
- Status
- Working real-time voice proof
- Result
- Product site, telephone, 4 brands
Live lab / try it yourself
Have a real-time AI conversation
Choose a company, call the agent in your browser and experience how voice, knowledge, brand tone and bounded corporate actions come together.
Built as a system
More than a talking demo
AVENLO connects live real-time speech with controlled knowledge per agent, bounded function calls, a phone interface and visible demo outcomes.
AVENLOplus four completely own brands.
Each has its own role, tone of voice, knowledge and action boundaries.
Three detailed routes per sector case.
Project estimate for the integrated showcase.
Choose, call, act
The visitor chooses a company and has a live real-time conversation. Function calling is operational; booking references, messages and human follow-up are deliberately simulated in this showcase and shown as demo outcomes.
- Real-time speech-to-speech via WebRTC
- Controlled knowledge per agent
- Limited tools for booking, intake and document
- Simulated callback request with conversation context
Four companies
One engine, four worlds
The shared agent architecture remains recognizable, while sector, photography, typography, tone of voice and actions change completely per brand.
Conversation architecture
From intention to safe action
The agent becomes useful when it not only answers, but also knows when to ask, perform a bounded demo action, confirm or prepare follow-up.
Intention and context
The caller can of course speak and interrupt; the agent summarizes the specific question.
Only what is missing
Date, preference, risk or contact details are requested in a targeted manner.
Bounded function
An explicit tool makes the simulated booking, intake or document outcome visibly verifiable.
Context for follow-up
For complaints, allergies, large groups and custom requests, the showcase creates a callback request with conversation context; no live call transfer takes place.
Open the product experience
Call an agent
Try the phone interface, explore the four sector cases or read how the real-time layer, brand worlds, tools and safety boundaries work together.
More concept work
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