AI Voice Translation System
Bridging language barriers with AI real-time translation on enterprise phone systems.
2024
6 months
Telecommunications / AI
Starting position
Starting position
- ≈ 60–110 € / hour
Interpreter cost
Blended scheduled + on-demand rates
- 30–60 min
Interpreter wait time
Median from scheduling to live session
- 2–3
Languages actively supported
- 8–12 h / day
Service availability
Limited by human team coverage
Market size
≈ 8,000–15,000 / month
Monthly multilingual support call volume
Approx. budget
200,000 – 999,999 €
Budget breakdown
Budget bucket per Clutch.co project cost category. Exact figures under NDA.
26-week build
26 weeks
- 1
Weeks 1–4
Discovery, architecture & PBX audit
- 2
Weeks 5–12
Core engine + SIP integration + first language pair
- 3
Weeks 13–20
AI model expansion (10+ languages) + voice cloning + latency tuning
- 4
Weeks 21–26
QA, production rollout & operational monitoring
Overcoming Language Barriers in Global Business
International business operations often face logistical bottlenecks and high costs when relying on human interpreters. The client required a scalable solution to provide instant translation for their agents directly within their existing PBX infrastructure, without the latency and scheduling limitations of human translators.
High costs and limited availability of human interpreters
Limited number of languages agents can speak fluently
Technical complexity of integration with legacy PBX systems
Imperative for low latency to ensure natural conversation flow
AI Real-time Translation Platform
We implemented robust Golang software that transparently integrates with PBX exchanges. The software uses advanced AI models to translate the agent's speech to the caller's language in real-time, ensuring continuity and quality of communication.
PBX Integration
Integration with Asterisk and FreePBX systems via SIP protocol for reliable call routing.
AI Speech-to-Speech Engine
Advanced processor combining speech recognition (STT), neural translation, and speech synthesis (TTS) for natural translation.
Low-Latency Streaming
Golang-based audio streaming architecture with sub-second latency for uninterrupted conversation.
Voice Cloning & Synthesis
High-quality speech synthesis that retains the professional tone of the agent in the target language.
Quality Assurance & Analytics
System for real-time model performance monitoring, with automated recovery mechanisms.
How the translation service was reshaped
AI alone doesn't replace a service — concurrent shifts in availability, language coverage and routing made the new model viable.
Translation delivery model
Before
Human interpreter (scheduled)
After
AI real-time (instant)
Eliminates scheduling and human availability as bottlenecks.
Service availability
Before
8–12 h / day
After
24 / 7
Global clients operate across all time zones.
Language coverage
Before
2–3 languages
After
10+ languages
Scales without linear cost growth per language.
ROI achieved within 12 months
≈ 1–2x
annual return
≈ 550,000–600,000 €
annual interpreter cost savings
200,000 – 999,999 €
Payback period
12 months
Method
Cost-of-operation pre/post on live production call volume
Confidence
High — directly measured on live call volume
Savings = direct interpreter operating cost; revenue from new-market expansion not quantified here.
Global Connectivity Without Borders
Implementation of the AI platform enabled access to multilingual support, reducing costs and enabling agents to operate globally.
Translation latency
Before
30–60 min
After
<2 s
Per-session average
Cost per translation hour
Before
≈ 60–110 €
After
≈ 8–15 €
Direct operating cost
Languages supported
Before
2–3
After
10+
In production
Service availability
Before
8–12 h / day
After
24 / 7
Always-on
“The AI translation system has transformed our international operations. Our agents can now speak with customers worldwide in their native language instantly.”
Head of IT
Telecom provider
