Vatel AI

From Conversation Design to Production-Ready AI Voice Agents in Hours

Design, simulate, and refine deterministic conversational graphs that follow your exact business playbook—with zero risk of AI hallucinations.

A highland road at first light.
Build flow
Map decision flow
Attach knowledge
Simulate & test
Publish to staging
2–3 hours · production-ready
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Why Build with Vatel

Deterministic design over unguided prompts

Stop risking your brand reputation on unguided generative AI prompts. Vatel's Build Suite combines the natural fluidity of generative speech with the strict control of a visual decision-graph editor. Operations and IT teams can map out complex customer journeys, attach dynamic knowledge bases, and run automated voice simulations to test edge cases, interruptions, and bilingual language switching before connecting a single live phone line.

Build

The modules of Build

Visual Flow Builder

Map every conversation path visually on a drag-and-drop canvas. Define pre-call, in-call, and post-call logic within the same graph. Use intent classification, conditional branching, and custom variable extraction (BANT criteria, account numbers) to guarantee zero AI hallucinations.

Trigger
Start
Inbound call
Speak
Greeting
Bonjour / Hello
Branch
Intent
Booking / Refund
Extract
Variables
BANT · account #
How it works

Build workflow

Map the decision flow, attach knowledge, simulate and test, then publish to staging or live SIP trunks.

FAQ

We've shared some of our most frequently asked questions to help you out. Can't find the answer you're looking for?

Unlike prompt-only wrappers, Vatel uses a graph-based agent architecture. Every conversation step is bounded by deterministic decision nodes, forcing the AI to strictly adhere to your business rules and database outputs.

Average build time for a production-ready agent is 2 to 3 hours. Non-technical staff can use pre-built industry templates or build custom flows from scratch using our visual canvas.

From conversation design to a live agent, in hours