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Invictt AI

Voice Agents

Phone assistants that book, qualify and answer correctly — for reception, support or lead qualification — and hand over cleanly the moment they should not be handling it.

Discuss thisSee example work
Time to value
Answering real calls in 4–6 weeks.
Deployment
Hybrid — sensitive steps can stay on-prem
Category
Conversational & Voice AI
A man juggling a phone handset and a radio at once, sticky notes covering his shirtThe manual version of this
Two support agents wearing headsets in a bright officeOnce it's AI-assisted

01/The problem

Missed calls are missed revenue, and the traditional fix — a menu tree — is something customers actively resent. The bar for a voice agent is not whether it can talk. It is whether it gets the booking right, and knows when to stop trying.

02/See it in action

What you'd actually see

A demonstration of the mechanism — not a live system reading your data.

03/How it works

The operating model

What enters, what the system does with it, and what reaches you.
Read the detail behind each stage

01

Connect

Number provisioning or a SIP bridge into the phone system you already have. Existing numbers keep working.

02

Listen

A low-latency speech pipeline tuned for interruption and barge-in, because people talk over machines and an agent that cannot be interrupted feels broken.

03

Ground

Answers come from your real availability, pricing and policy — live — not from a script written three months ago.

04

Act

It books, reschedules, takes details and raises tickets against real systems, so the call ends with the thing actually done.

05

Escalate

On anything sensitive, uncertain, or explicitly asked for, it hands to a human with the transcript and context attached rather than a cold transfer.

04/What's included

What you actually receive

Concrete deliverables, not a statement of intent.

Number provisioning or SIP integration with your phone system

Low-latency pipeline with barge-in and interruption handling

Answers grounded in live availability, pricing and policy

Real actions: booking, rescheduling, ticket creation

Warm human handover carrying full context

Recording, transcript and outcome tracking per call

Explicit guardrails on what it will never say or promise

Built with

  • Whisper / Deepgram
  • LiveKit
  • Twilio
  • LLM orchestration
  • Neural TTS

Tooling is chosen per engagement. This is what this kind of build typically uses, not a fixed stack we sell.

05/Example work

All work

What this looks like in practice

Reference implementations, including what went wrong.
Reference Implementation2026

Answering the calls that were going to voicemail at peak hours

A large share of calls went unanswered at peak, and most never rang back. We built a voice agent that books against the real calendar, handles the routine majority, and hands anything clinical straight to a human.

Read it

06/Also in this category

Conversational & Voice AI

An agent that gets the substance right, and hands over cleanly.

ListenUnderstandRespond
A man wearing headphones speaking into a studio microphoneText-to-speech

Text-to-Speech & Voice Integrations

A consistent, branded voice across IVR, product and content — generated rather than re-recorded every time the copy changes.

Establish the voice → Pipeline it → Deliver

DetailsDiscuss this

Is this the problem you have?

Tell us what it looks like at your end. We will say honestly whether this is the right fit — including when it is not.

Ask about Voice agents