Voice & Phone Agents

Voice agents callers do not hang up on.

Voice fails on latency before it fails on intelligence. Past about a second of silence, people talk over the agent or hang up. Our production pipelines run at around 680ms end to end, with interruption handled as part of normal conversation.

Talk to us All AI development

Live call 680ms median

CallerI’d like to move my booking to Friday.

AgentDone — you’re booked for 10am Friday.

In one paragraph

AGI Software Solutions builds custom voice AI agents for inbound and outbound phone work — booking, support, qualification and follow-up — on streaming pipelines that run at 680ms median end-to-end latency in production, across 12 languages, with real barge-in and live human takeover. Custom voice agent builds typically run $20k–$120k depending on integrations and compliance, against $0.40–$0.80 per handled call to operate.

What We Build

Latency is the product.

Everything about a voice agent, from the model choice to the streaming architecture to where the work happens, is downstream of one number. We design for it first and treat everything else as a constraint around it.

Latency

Sub-second, measured

680ms median end to end in production, with every stage of the pipeline overlapping rather than queued behind the last one.

Naturalness

Real barge-in

Callers can interrupt, and the agent stops and listens. Without that, it reads as a phone tree no matter how good the reasoning is.

Reach

Multilingual

Production deployments across 12 languages, with per-tenant voice cloning where a brand needs its own voice.

Oversight

Humans can step in

Live supervisor views with whisper and takeover, plus quality, sentiment and outcome analytics on every call.

Plain English

What is a voice AI agent?

A voice AI agent is a phone-native conversational system: it listens in real time, interprets intent with a language model, looks things up or acts in your CRM and booking systems mid-call, and responds in natural speech. The difference between one callers use and one they abandon is measured in milliseconds of silence and in whether they can interrupt it like a person.

Compared

Voice AI agent vs IVR phone menu

Both answer your phone. Only one of them holds a conversation.

	IVR menu	Voice AI agent
Caller experience	"Press 2 for billing"	Says what they want, in their words
Interruption	Not possible	Barge-in handled as normal conversation
Systems access	Static routing	Live lookups and actions mid-call
Languages	One menu per language, maintained by hand	Same agent, 12+ languages
Escalation	Queue transfer	Context-rich handover, supervisor whisper and takeover

How We Build It

Five stages from problem to production.

The same process across every AI Development project, scaled to the size of the problem.

Discovery

We work out what the system actually has to do, what data exists, and what happens today when it goes wrong.

Design

Architecture, model choice, integration points and failure handling, defined before any of it gets built.

Integration

Connecting to the systems that hold your data, with security and permission boundaries handled properly.

Automation

The system takes on real work, in the workflows your team already uses rather than beside them.

Refine

Tuned against real usage and measured with evals, because how people use a system is never quite how it was designed.

Use Cases

Where voice and phone agents pay off.

The patterns we see deliver, across startups, SMEs and enterprise teams.

Inbound

Reception and booking

Answers every call, books and reschedules against your live calendar, and takes messages that actually reach the right person.

Support

First-line phone support

Order status, account questions and routine requests resolved on the call, with clean escalation for everything else.

Outbound

Follow-up and reminders

Appointment confirmations, renewal reminders and callback queues worked automatically, with TCPA and GDPR-aware handling.

Qualification

Lead qualification calls

Every inbound lead called back inside a minute, qualified against your criteria, and routed to sales with a transcript.

Related Work

Systems we have shipped.

AI DevelopmentVoice AI

Voice Operations Console

A streaming voice pipeline with real barge-in, running thousands of live calls a day in 12 languages.

680ms median end-to-end latency

AI DevelopmentVoice AI

Voice Calling Agent

An outbound voice agent that books meetings, qualifies leads and hands warm conversations to humans.

5,000 calls a day at 40% of SDR cost

AI DevelopmentAI Chatbots

Conversational AI Studio

Context-aware multi-channel chat that qualifies inbound leads and routes them to the right person.

3.2× qualified leads, 54% faster replies

See all case studies

What Teams Say

Hear from the teams we work with.

“We needed a voice agent that could actually qualify leads, not a chatbot pretending to be one. The team shipped a sub-700ms pipeline in 6 weeks. It now handles 5k calls a day.”

Priya RajHead of Growth, Ninjatech

“What sold us was their willingness to put AI engineers and product designers on the same call. We got working prototypes by week two and a production rollout in three months.”

James ThorntonCTO, Allindex

“AGI designed a CRM system tailored to our client management process. It is intuitive, reliable, and has centralized all our communication and history in one dashboard. This has greatly improved client retention.”

Carlos MendesProduct Manager, Qilinlab

Common Questions

Before you get in touch.

What latency is actually achievable?

Our production systems sit around 680ms median end to end. Getting there is an architecture problem: streaming at every stage, and doing as little sequential work as possible between hearing and speaking.

How much does a voice AI agent cost?

A basic inbound agent (bookings, FAQs, message-taking) runs roughly $20k–$50k to build. Enterprise deployments with outbound campaigns, CRM integration and multi-language support run $50k–$120k. Operating cost is typically $0.40–$0.80 per call, against $7–$12 for a human-handled call.

Can it handle being interrupted?

Yes. Barge-in and turn-taking are built in. It is one of the clearest dividing lines between a voice agent and an automated phone menu.

How does it connect to our phone system?

Usually through Twilio or your existing telephony provider. The agent handles the conversation; your numbers, routing and recording rules stay where they are.

Is it compliant for outbound calling?

It can be. We have built TCPA and GDPR-aware handling including automatic opt-out detection, but the specifics depend on your market and use case. That is scoping work.

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