Multilingual voice AI for subsidy qualification: an energy build

A phone-based screening system that asks homeowners a fixed set of eligibility questions in several languages and routes the outcome.

The problem

An energy organisation needed to qualify homeowners for subsidy programmes over the phone. Eligibility had to be screened the same way every time before qualified prospects were passed to the next stage.

How the system works

Qualification script

The voice system asks a structured series of eligibility questions about the homeowner's property and circumstances, matched to the subsidy programme's requirements.

Cross-lingual build and testing

The core logic and conversational instructions were written in English. We then checked them in live multilingual conversations to confirm the dialogue held up in other languages.

Outcome routing

The system reads the caller's answers to decide whether they qualify. Qualified leads move forward, and the call is concluded for those who are not eligible.

Result in production

A production voice agent that screens programme eligibility through conversation and works reliably across multiple languages.

Who this pattern fits

Any team facing similar volume, compliance or coordination demands could use this pattern. The technology stack can operate independently where needed and takes little operational effort to run.

Tools used

ElevenLabs

Speech synthesis for the voice agent, chosen for production-grade latency and audio quality.

Twilio

Telephony for inbound and outbound calls, SMS and call recording.

Multilingual prompt design

The language-neutral qualification logic that drives the questions in every language.

Frequently asked questions

Which languages can the system speak?

Any language ElevenLabs supports at production quality. The qualification framework is language-neutral and draws on one structured questionnaire, so adding a language does not mean rewriting the eligibility logic.