Voice agents
On-premise voice agents that resolve calls, not just answer them.
Speech recognition, the model and speech synthesis run on your infrastructure. The agent takes the call, checks your knowledge and rules, updates the record and logs the interaction.
- Runs on
- Your servers or private cloud
- Channels
- Inbound, outbound, in-app
- Reply time
- About a second, measured in your PoC
- Recording
- Notice, opt-out, consent logged
In short
An on-premise AI voice agent is a phone or in-app assistant whose speech recognition, language model and voice all run inside your own infrastructure. Callers speak naturally; the agent answers from your knowledge base, completes the request in your systems and logs every step, without audio leaving your environment.
What it handles
Eight jobs, one voice core.
Every capability shares the same retrieval, permissions and audit trail as your chat and automation.
Inbound voice agents
Understand intent, retrieve, resolve or route.
Outbound voice
Reminders, confirmations, follow-ups, surveys.
Call triage and routing
Intent detected on the first sentence.
Live agent assist
Answers surfaced mid-call, notes drafted after.
Transcription and QA
Summaries, actions and compliance checks at volume.
Voice data capture
Forms, records and tickets filled by speaking.
IVR replacement
Natural conversation instead of menu trees.
Voice notes to records
Clinicians, inspectors and field teams dictate.
How it works
From hello to a logged result.
Each step streams into the next, so callers hear a reply while the rest is still being generated, and they can interrupt at any time.
The caller speaks
Open speech recognition transcribes on your servers. A recording notice plays first, with a way to continue without recording.
The agent understands and checks
Intent is detected, the caller is verified, and the answer is retrieved from your knowledge base under your access rules.
It acts
Records are updated in your systems. Anything outside policy goes to a named person for approval.
It replies and logs
Speech synthesis answers in the caller’s language. The call, consent and actions land in your audit trail.
Where it runs best
Built for regulated phone lines.
Patient appointment lines
Rebooking, reminders and pre-visit questions, with patient identity verified.
Learn more →Financial servicesCustomer service
Account queries, card requests and complaints, routed with full logs.
Learn more →GovernmentCitizen helplines
Answers from published policy in several languages, escalated when needed.
Learn more →FAQ
Questions, answered.
How fast does an on-premise voice agent reply?
About a second to first audio. Recognition, the model and synthesis stream into each other on your hardware, and we measure it during the proof of concept.
Is call recording legal in every market?
The rules differ. Germany treats unlawful recording of the spoken word as a criminal matter, some US states require all-party consent, and India’s DPDP Act requires notice and consent. Every call opens with a notice and an opt-out, and consent is logged.
Can it update our systems, or only talk?
It acts. Voice sits on the same automation layer as everything else, so it can update records, open tickets and route exceptions to a person.
Which languages does it speak?
Many, including answers in the caller’s language from documents written in another.
Related
Access control
Internal and external agents kept apart.
Learn more →AI automation
Workflows with approval gates.
Learn more →Compliance by market
Recording and consent rules per market.
Learn more →Hear it on a real call.
We’ll run a voice agent on sample content from your domain. Or write to sales@deepvox.ai.