Voice AI agents

Voice AI that answers the phone, understands the request and updates the system behind it.

Thalenor develops AI voice agents that handle inbound and outbound calls: speech recognition, a managed conversation state, your business knowledge, approved tools such as calendar and CRM, and a clean transfer to a person when the call needs one.

All services
The voice pipeline

From ring to result.

Step 01

Call

Inbound or outbound over your telephony provider.

Step 02

Speech recognition

Audio to text with low latency.

Step 03

Conversation state

Intent, entities and where the call currently stands.

Step 04

Business knowledge

Your services, policies, availability.

Step 05

Approved tools

Calendar, CRM, database, payment link.

Step 06

Human transfer

Warm hand-off with a written summary when needed.

What is an AI voice agent?

An AI voice agent is a phone-capable system that converts speech to text, understands intent within your business context, takes actions through approved tools such as booking systems and CRMs, and replies with natural speech. It is not a menu tree. It can reschedule an appointment, answer a stock question or qualify a caller, and it hands over to a human when the conversation goes beyond its scope.

Operational scenario · illustrative

A rescheduling call, with an interruption and a hand-off.

Voice is harder than chat: turn-taking, interruptions, accents and latency. This is what a well-designed call looks like when the caller changes their mind and then asks for something out of scope.

  1. 00:00TriggerInbound call answered. Disclosure played: 'You are speaking to an automated assistant.'
  2. 00:07AICaller asks to move an appointment to Friday afternoon. Intent and entities detected.
  3. 00:12ToolsCalendar checked. Friday 15:30 offered.
  4. 00:15CallerInterrupts mid-sentence: 'Actually, can we do Monday?'
  5. 00:24AIMonday 11:00 offered and confirmed. Slot reserved, SMS confirmation queued.
  6. 00:41HumanCaller asks about a refund. Out of scope: warm transfer to a person with a written summary.
SYSTEM STATEstep 01 / 06
Caller+44 ··· 4821
LanguageEnglish
CustomerMatching…
When it goes wrong

The calendar API is slow to respond.

Fill the gap honestly

The assistant says it is checking, rather than going silent.

Fallback

If the lookup fails, it offers a callback or a transfer instead of guessing availability.

Log

The failed lookup is recorded against the call for review.

Voice AI

Calls that repeat are calls that can be handled well every time.

Appointment changes, opening hours, order status, first-stage qualification. A voice agent handles these consistently, in the caller's language, and passes everything else to a person with the context already written up.

Where voice AI earns its place

Common call types, done properly.

01

AI receptionist

Answer, identify the caller, route or handle, and record the outcome.

02

Appointment booking and rescheduling

Connected to the real calendar, with confirmations by SMS or WhatsApp.

03

Inbound enquiry qualification

Ask the questions your team would ask; write the summary into the CRM.

04

Outbound reminders and follow-ups

Payment reminders, appointment confirmations, service follow-ups with opt-out handling.

05

Multilingual conversations

English, Hindi and Punjabi where the speech models support the accuracy you need.

Architecture

The voice pipeline, from audio to action.

Latency budgets, interruption handling and scoped tools are what separate a usable voice agent from a demo.

L1
Telephony
Inbound / outboundSIP / providerRecording (consent)DTMF fallback
Calls arrive through your telephony provider.
L2
Speech recognition
Streaming STTLanguage detectionNoise handlingAccent tuning
Partial transcripts stream in; the assistant can react before a sentence ends.
L3
Conversation state
IntentEntitiesTurn-takingBarge-inConfidence
State is explicit so interruptions and corrections re-plan cleanly.
L4
Knowledge & tools
Business knowledgeCalendarCRMDatabasePayment link
Only approved functions are callable; each validates inputs.
L5
Speech synthesis
Streaming TTSVoice selectionLatency budget
Responses begin within the natural pause of conversation.
L6
Escalation & log
Human transferSummaryCall logAlertsFallback callback
Out-of-scope requests and failures reach a person with context.
Latency

Every stage is measured. Model choice, streaming and short confirmations keep replies inside a natural turn.

Consent

Recording and automated-assistant disclosure are configured per jurisdiction.

Languages

Accuracy is tested with your callers' accents before committing to a language.

What buyers ask before committing

Straight answers to the questions that decide a project.

What we would not do
  • Deploy a voice agent that pretends to be human.
  • Let the assistant guess availability or prices when a tool call fails.
  • Promise recognition accuracy for a language we have not tested with your callers.

Will callers hang up on a robot?

Some will. Disclosure, a fast natural voice and an instant path to a person keep most on the line for the calls a voice agent should handle.

What if it misunderstands?

It confirms before acting on anything that matters, and low confidence leads to a clarifying question or a transfer, not an assumption.

Can it handle Punjabi or Hindi?

Possibly. We test recognition accuracy for your callers first and only commit when it holds up.

What is logged?

Transcript, detected intents, tool calls, outcomes and transfers. Recordings only with consent and where lawful.

Can staff take over live?

Yes. Warm transfer with a written summary is a core feature.

Questions

Questions worth asking first.

Yes. We recommend disclosing it at the start of the call. Clear disclosure and an easy path to a person builds more trust than pretending.

Start here

Show us the calls your team handles repeatedly.

A week of call notes is enough to see which conversations a voice agent should own and which should always reach a person.

contact@thalenor.com