Multi-Language Voice Agents

Overview

What we deliver

We build multi-language AI voice agents that take inbound calls, qualify leads, and handle support across the languages your customers speak.

We design and deploy AI voice agents that operate across multiple languages from a single phone number or routing layer. Each agent is trained on your scripts, intents, and product knowledge, then tuned for accent, pace, and tone in every language you serve. We map call flows, set escalation rules, connect the agent to your CRM and calendar, and run live testing with native speakers before launch. The result is a voice layer that answers around the clock, books meetings, resolves common questions, and hands off cleanly to human agents when needed. We monitor transcripts, intent accuracy, and containment rates after go-live, then refine prompts and routing each month. This service suits teams that sell or support customers across regions and want one consistent system instead of separate vendors per language.

Fit Check

Built for teams like yours

Who it's for

Multi-region B2B sales teams
Global support desks
Travel and hospitality brands
Healthcare networks with mixed patient bases
SaaS companies expanding into new markets

Pain points we solve

High cost of staffing native speakers
Inconsistent call quality across languages
Missed calls outside local business hours
Slow lead response in non-English markets
Fragmented voice tooling per region

What's included

Capabilities

Everything we cover in this engagement.

Language and accent selection
Intent and script design
Telephony and SIP routing setup
CRM and calendar integration
Real-time transcription and translation
Native-speaker QA testing
Escalation and warm transfer logic
Post-launch monitoring and tuning

How we work

Our process

A clear, predictable path from kickoff to outcomes.

01

Discovery

We map call volumes, languages, and target intents.

02

Design

We draft scripts, flows, and voice personas per language.

03

Build

We configure the agent, telephony, and integrations.

04

Test

Native speakers validate accuracy and tone before launch.

05

Run

We monitor calls and refine prompts each month.

What you get

Deliverables & outcomes

What you get

Configured voice agent per language
Call flow and intent map
CRM and calendar integrations
Native-speaker QA report
Live monitoring dashboard
Monthly tuning report

Outcomes you can expect

Higher call answer rates
Faster lead qualification
Lower cost per handled call
Consistent brand voice across regions
24/7 coverage without overnight staff

Timeline

4 to 8 weeks

Engagement

Monthly retainer, Project, Sprint

Tools we use

ElevenLabs, Vapi, Twilio, Retell, HubSpot

KPIs we track

Containment rate, Intent accuracy, Average handle time, Booked meetings, CSAT

Client stories

What clients say

"

We were drowning in tier-one tickets about password resets and appointment changes. They built a deflection layer on top of our help desk and kept their agents in the loop for anything sensitive. Volume to humans dropped 58 percent in two months and our patient NPS held steady. The hybrid handoff is the part most vendors get wrong. They did not.

P.M.

"

We had been prototyping an AI quoting agent for nine months and could not get it past demo quality. They came in, scoped a real eval set, swapped our retrieval layer, and added guardrails for the edge cases that kept burning us. Went live in seven weeks. It now handles 41 percent of inbound quote requests without a human touching them.

Kyle A.

Proof