Voice solutions designed to assist your team - not replace their role.

Remote AI Voice Agent DevelopmentA Dedicated DeveloperHourly or Monthly

Q: What kinds of AI voice agents do you build?

Inbound: AI receptionists that answer the front desk and after-hours, AI answering services that never send a caller to voicemail, support agents that handle order status and account questions, and appointment booking and rescheduling agents for clinics, salons, home services, and the like. Outbound: reminder and follow-up calls, lead qualification, surveys, win-backs, and collections reminders. And IVR replacements that swap a phone menu for a conversation. We build the agent, the integrations, the transfer-to-human path, and the analytics.

Q: How much does AI voice agent development cost - hourly or monthly?

Two ways. By the hour at $25 - pay as you go, time tracked to the minute, a weekly report and demo, no monthly commitment - best for a defined scope like a priority inbound flow, a single outbound campaign, or latency tuning. Or monthly at the standard $2,000 per dedicated developer for 160-172 hours of full-time, exclusive work on your voice agent, in your repo, telephony account, and cloud, with a 7-day risk-free trial - the better value when the agent is a rolling thing with more flows, more languages, and patient edge-case tuning. Either way: a senior lead reviews and tests every release. The monthly rate is the same flat rate as every other Empiric Infotech engagement; no premium for the voice framing. Per-minute platform, telephony, STT/TTS, and model usage is billed to your own accounts at cost, not marked up. Add a developer at the same flat rate when you want more flows or a second use case.

Q: Which platforms and voice stack do you build on?

We build on the real-time voice platforms - Vapi, Retell AI, Bland, LiveKit, Pipecat - with telephony via Twilio, Telnyx, or your own SIP trunk, speech-to-text from Deepgram, AssemblyAI, or Whisper, text-to-speech from ElevenLabs, Cartesia, Rime, or OpenAI, and an LLM brain (Claude, GPT, or Gemini). We pick the stack to fit your latency, language, cost, and integration needs, and tell you honestly which one suits your case rather than defaulting to whatever we like.

Q: Can the voice agent connect to my CRM, calendar, and helpdesk?

Yes - that is most of the value. We integrate it with Salesforce, HubSpot, GoHighLevel, Pipedrive, your scheduling tool (Calendly, Acuity, Cal.com, your own), Zendesk, Intercom, Freshdesk, your booking or PMS system - read and write, two-way - so a call updates your systems and a record in your systems can trigger a call. Custom internal APIs too, via function calling or an MCP server (see /services/mcp-server-development).

Q: Will it sound human, and how does it handle interruptions?

We tune for it: sub-second response latency, natural interruption and barge-in handling, backchannels, a voice and persona you sign off on, and voicemail detection on outbound so it does not waste a slot. It will not pass a Turing test, but it will keep a caller on the line and get the job done - and when a caller wants a human, it warm-transfers with context rather than dumping them into a queue.

Q: Should I just configure a no-code platform myself instead?

If your need is a single simple flow and you have the time to learn the platform, configure the integrations, and maintain it, a no-code platform may be enough - and we will tell you so on the scoping call. A dedicated developer is the right call when you need real integrations, multiple or complex flows, outbound campaigns, careful latency and transfer tuning, analytics, and someone who keeps it working as the models change. We build it in your accounts; you own it and can run it without us.

Q: What about call recording disclosure, opt-outs, and compliance?

We build in call-recording disclosure where it is required, do-not-call and opt-out handling on outbound, business-hours respect, and consent capture - and we keep recordings and transcripts in your storage. We are not your compliance counsel, but the agent is built so a compliance review has something sensible to look at, and we will flag the obvious requirements for your use case and region.

Q: Do you build the backend and the dashboard too?

Yes - the orchestration backend (Node.js or Python), the webhooks, the outbound campaign queues, the rate and concurrency limits, and a dashboard on call volume, containment, transfer rate, booking rate, and the questions the agent could not answer. If the dashboard needs real design work, we add a designer at the same flat per-developer rate.

Q: Who owns the voice agent and where does it run?

You do - your GitHub or GitLab org, your Twilio/Telnyx account, your phone numbers, your cloud account, your platform account, from day one. We work inside your accounts, not ours, so there is nothing to claw back if the engagement ends and no usage spend hidden in our invoice.

Q: How fast can you start, and what if it is not working out?

Within 48 hours of sign-off: a scoping call on a slot that suits you, a written scope and team proposal, then onboarding - your telephony account, your cloud, a working dev environment - on day one. The first 7 days are a risk-free trial with a full refund if it is not a fit and a no-cost developer swap inside that window. After that it is monthly billing with 7 days notice to stop - no auto-renewal, no minimum term.

An AI phone agent, AI receptionist, or AI answering service that answers and makes real calls, books, qualifies, and supports - built by a remote dedicated developer for $25/hr or $2,000/mo.

Human-Like Voice

Self-Hosted Available

AI Voice Agents From Empiric Infotech LLP

Last updated: 2026-05-14

Empiric Infotech LLP builds and runs AI voice agents as a dedicated-developer engagement: one remote developer (or a small dedicated team) working full-time and exclusively on your voice agent - an AI phone agent, an AI receptionist, an AI answering service, or an outbound caller - in your GitHub or GitLab org, your telephony account, and your cloud, month after month. We wire up the telephony (Twilio, Telnyx, or your SIP trunk and phone numbers), the real-time voice layer (Vapi, Retell AI, Bland, LiveKit, or Pipecat), speech-to-text (Deepgram, AssemblyAI, Whisper) and text-to-speech (ElevenLabs, Cartesia, Rime, OpenAI), an LLM brain (Claude, GPT, or Gemini) that follows your script and calls your tools, integrations to your CRM, calendar, and helpdesk, inbound and outbound flows, a clean transfer-to-human path, and recordings, transcripts, and analytics - then we tune the latency, the interruption handling, and the voicemail detection until it actually sounds like a person. A senior team lead reviews and tests every change before it reaches you. The engagement is billed two ways - $25 an hour or the standard $2,000 a month per developer - with a 7-day risk-free trial on the monthly plan, and you scale a developer at a time when the use cases grow.

$25/hr

hourly, pay as you go

$2,000/mo

monthly, lock it in

Weekly

time report + demo

Senior-lead

review on every release

What an AI voice agent engagement delivers

Not a demo that handles one happy path. A voice agent live on your phone numbers - inbound and outbound, integrated with your CRM and calendar, with a transfer-to-human path, recordings, transcripts, and analytics - plus the developer who keeps tuning and extending it.

A voice agent live on your phone numbers

Wired into Twilio, Telnyx, or your SIP trunk, on your numbers, taking real inbound calls and placing real outbound ones - the AI receptionist that answers the front desk and after-hours, the answering service that never sends a caller to voicemail, the outbound agent that runs follow-ups and reminders. Your telephony account, not ours.

A brain that follows your script and calls your tools

An LLM (Claude, GPT, or Gemini) prompted and constrained to your call flows, your policies, and your tone - and given function calling to actually do things: look up an order, check availability, book or reschedule an appointment, create a ticket, update a record, send a confirmation text. It is a voice agent, not a voicemail menu.

Real-time voice that sounds like a person

Built on Vapi, Retell AI, Bland, LiveKit, or Pipecat with speech-to-text (Deepgram, AssemblyAI, Whisper) and text-to-speech (ElevenLabs, Cartesia, Rime, OpenAI), then tuned: sub-second response latency, natural interruption and barge-in handling, backchannels, voicemail detection on outbound, and a voice and persona you sign off on. The difference between a caller staying on the line and hanging up.

Integrations to your CRM, calendar, and helpdesk

Salesforce, HubSpot, GoHighLevel, Pipedrive, your scheduling tool (Calendly, Acuity, Cal.com, your own), Zendesk or Intercom or Freshdesk, your booking or PMS system - read and write, so a call updates your systems and a record in your systems can trigger a call. The voice agent fits into how your business already runs.

Inbound, outbound, and a clean handoff to a human

Inbound: answer, identify, resolve or route. Outbound: campaigns, reminders, surveys, win-backs, qualification calls. And a transfer-to-human path that warm-transfers with context, respects business hours, and falls back gracefully - so the agent handles what it should and a person gets the rest, not a dead end.

Recordings, transcripts, analytics, and a backend

Every call recorded and transcribed, tagged by outcome, with dashboards on volume, containment, transfer rate, booking rate, and the questions it could not answer - plus the backend that orchestrates it all (Node.js or Python), webhooks, queues for outbound campaigns, and rate and concurrency limits. You can see what the agent is doing and why.

A developer who is still there when the model changes

Voice AI moves fast - new models, new STT/TTS engines, new platform features, new edge cases your callers will find. A dedicated engagement means the same developer tunes the agent, adds the next call flow, and keeps it current, month after month, instead of handing you a v1 that drifts.

How we scope an AI voice agent engagement

No multi-week sales cycle and no twenty-page statement of work. A call, a written scope, a trial, then a monthly engagement you can end any time.

A scoping call

Thirty to forty-five minutes. You walk us through the calls you want handled - inbound reception, after-hours answering, appointment booking, lead qualification, outbound reminders - your call volume, your telephony setup, the systems it needs to touch, and your tone. No charge, no obligation.

A written scope and team proposal

We send back the first call flows we would build, the platform and voice stack we would use, the integrations, who we would put on it - one developer to start, or a small dedicated team if the surface is large - and the flat monthly price. We will tell you honestly if a no-code platform configured by you would do the job; we do not build what you do not need.

A 7-day risk-free trial

The developer gets into your telephony account and cloud and ships the first working flow - usually the priority inbound flow, taking real calls on a test number, integrated and transferring to a human cleanly - inside the first week, reviewed and tested by the senior lead. Not a fit by day 7, full refund, no debate.

Hourly or monthly, your choice

Hourly: billed by the hour at $25, time tracked to the minute, a weekly time report and a demo, stop any time - best for a defined scope or burst work. Monthly: 160-172 hours at the standard $2,000, monthly billing, cancel with 7 days notice - the better value when the agent is a rolling thing. Switch between them month to month as the use cases grow or settle; add a developer (or a designer for a dashboard) at the same rate.

Two ways to engage an AI voice agent developer

Two ways to engage an AI voice agent developer. By the hour at $25 - pay as you go, time tracked to the minute, a weekly report and demo, no monthly commitment - best for a defined scope (a priority inbound flow, a single outbound campaign, latency or transfer-to-human tuning) or burst work. Or monthly at the standard $2,000 for 160-172 hours of full-time, exclusive work - the better value when the agent is a rolling thing with more flows, more languages, and patient edge-case tuning, with a 7-day risk-free trial. Either way: your repo, your telephony account (Twilio/Telnyx), your cloud, and a senior lead reviews and tests every release. Why the hourly premium? AI voice agents are real-time, latency-sensitive systems with telephony, STT/TTS, an LLM brain, and compliance handling - expert-level work in short bursts; the monthly rate is the same flat rate as any Empiric engagement once you commit. Per-minute platform, telephony, STT/TTS, and model usage is billed to your own accounts at cost.

Pay as you go

Hourly plan

$25/hr

the premium short-burst rate - voice agent work is real-time, latency-sensitive expert work

A dedicated AI voice agent developer, exclusive to you while you have hours booked
Pay as you go - billed by the hour, time tracked to the minute, a weekly report and demo
Best for a defined scope (priority inbound flow, single outbound campaign, latency tuning); no monthly commitment, stop any time
Your repo, telephony account, cloud, and model keys from day one
Every release reviewed and tested by a senior lead before it goes live

Book a scoping call

Best value

Monthly plan

$2,000/mo

the standard flat rate - much cheaper per hour when the agent is a rolling thing

A dedicated AI voice agent developer, full-time and exclusive - 160-172 hours a month
The best value when the agent is a rolling thing - more flows, more languages, edge cases
Your repo, telephony account, and cloud from day one; the same flat rate as any Empiric engagement
7-day risk-free trial, monthly billing, cancel with 7 days notice
A senior lead reviews and tests every release before it goes live

Book a scoping call

Larger or longer

Dedicated team

Custom

for several live numbers or parallel use cases

A small dedicated team - developers plus a senior team lead who reviews and tests every release
Add a developer (or a designer for a dashboard) at the same rate, in 48 hours
Pair an inbound developer with an outbound/campaign developer to ship parallel use cases
Best for several live numbers, multilingual flows, or running inbound and outbound at once

Talk to us

Most AI voice agent engagements start small - a block of hours at $25/hr for a priority flow, or a first month at $2,000 - with a working agent on a test number inside the first week. When you want more call flows, outbound campaigns, a second language, or a dashboard, you add a developer (or a designer for UI work) at the same flat rate, in 48 hours, with no re-contracting, and a senior team lead reviews and tests every delivery and keeps the team aligned. Quality assurance is part of that lead's job, not an extra line item. The per-minute platform, telephony, and model costs are yours, billed to your accounts at cost, not marked up.

What the first 90 days of an AI voice agent engagement look like

A dedicated engagement is a rolling thing, not a Gantt chart - but here is the shape of the first three months on a typical voice agent build.

Week 1
Onboarding and the trial flow
Telephony and cloud access, a working dev environment, the platform and voice stack chosen, and the priority inbound flow live on a test number - identifying the caller, answering the common questions, calling one tool, and warm-transferring to a human - shipped and reviewed. Day 7 is the decision point.
Month 1
The main flow, live on your numbers
The priority use case in production on your real numbers - inbound reception or after-hours answering or appointment booking - integrated with your CRM and calendar, transfer-to-human working, recordings and transcripts captured, latency and interruption handling tuned, and a basic dashboard on volume and outcomes. By the end of month one a real voice agent is taking real calls.
Month 2
More flows, outbound, and the rough edges
Secondary inbound flows, an outbound capability (reminders, follow-ups, qualification calls) with voicemail detection and campaign queueing, more integrations, a second voice or language if you need it, and the edge cases real callers surfaced in month one - smoothed, with the analytics tightened so you see containment and booking rates.
Month 3
Hardening, scale, and ahead of the roadmap
Concurrency and rate limits for peak call volume, a cost pass on per-minute spend, a quality pass on transcripts and transfer reasons, compliance handling (call recording disclosure, opt-outs, do-not-call), and the next use case scoped. From here the developer is ahead of your backlog - the next flow, the next integration, the next model.

A monthly dedicated developer vs configuring a voice-AI platform yourself, a fixed-price voice-AI agency, or an in-house build

	Empiric Infotech (monthly dedicated developer)	Configure a voice-AI platform yourself (Vapi, Retell, Bland, Synthflow)	Fixed-price voice-AI agency	Build it in-house
What you actually get	A custom voice agent built and tuned to your call flows, integrated with your systems, owned by you - and a developer who keeps improving it	A dashboard and a generic agent you prompt yourself; integrations and edge cases are on you	A v1 built to a spec, then a maintenance retainer or you are on your own	Whatever your team can build and keep running alongside their other work
Pricing model	$25/hr for hourly work, or the standard $2,000/mo for a full-time developer if you lock a month - your choice; platform/telephony usage billed to your accounts at cost	Platform subscription + per-minute usage; your time to build and maintain it	$10K-$50K fixed bid for a v1 agent; change orders billed extra	$110K-$160K salary + ~30% loaded, per engineer
Integrations (CRM, calendar, helpdesk)	Built and maintained for you - read and write, two-way	Whatever the platform ships, plus what you wire via Zapier/Make/code yourself	Built to the spec; new ones are change orders	Yours to build and keep working
Latency, interruption, voicemail tuning	Tuned by a developer until it sounds human; revisited as models change	Platform defaults; tuning knobs you learn yourself	Tuned at delivery; drifts unless you pay for revisions	As good as your team's time allows
Quality control	Senior-lead code review + pre-delivery testing on every release, built in	On you	Per agency - often the same juniors who wrote it	Your own review process, if you have one
Who owns it	You - your repo, your telephony account, your cloud, from day one	You, inside the platform's walls; export is limited	You, on final payment	You
Time to start	48 hours	Hours to set up; weeks to make it production-grade yourself	2-6 weeks (proposal, SOW, kickoff)	2-4 months (search, offer, notice, onboarding)
After v1	The same developer keeps shipping - new flows, outbound, integrations, model upgrades	You maintain it	A new retainer, or you are on your own	The engineer stays - if they stay

Figures are typical market ranges, not quotes. Per-minute platform, telephony, STT/TTS, and model costs apply on top of any build cost in every option and are billed to your own accounts in ours. A fixed-price agency build of a comparable v1 voice agent commonly lands in the $10K-$50K range before change orders.

Working hours and meeting availability

Our developers work 09:30 AM to 07:30 PM IST, Monday to Friday (160-172 billable hours a month). A project manager is reachable 07:30 AM to 10:30 PM IST. Live overlap by region:

Region	Developer live overlap	PM available for meetings	What this means
USA East (ET)	1 hr 9:00-10:00 AM ET	9:00 PM previous day - 12:30 PM ET	Morning standup, then most of a working day's flow-building, tuning, and integration shipped async before your day starts.
UK and Ireland (GMT/BST)	5-6 hr 9:00 AM - 2:00 PM	Full UK working day	Live call-flow review, latency tuning, and listening to test calls together across the morning.
Western Europe (CET/CEST)	6-7 hr 9:00 AM - 4:00 PM	Full EU working day	Strongest overlap - works like an in-house developer with a commute.
Sydney and Melbourne (AEST/AEDT)	3.5 hr 2:00 - 5:30 PM AEST	12:00 noon - 3:00 AM next day AEST	Afternoon standup, then overnight async builds, tuning, and deploys.

Why teams build their AI voice agent with a dedicated developer, not a no-code platform alone

A voice-AI platform (Vapi, Retell, Bland, Synthflow) is a great runtime - but a great runtime is not a great agent. The work that decides whether callers stay on the line is the call-flow design, the prompt and tool wiring, the CRM and calendar integration, the latency and interruption tuning, the transfer-to-human path, the analytics, and the patient iteration as real callers surface edge cases. That work is a developer's job. Empiric Infotech is billed two ways - $25 an hour for a defined scope, or the standard $2,000 a month per developer for 160-172 hours of that work, full-time and exclusive - with the same person on your agent the next month, and a senior lead reviewing and testing every release at no extra cost. You keep the platform; you also get someone who knows how to use it.

A fixed-price voice-AI agency build typically runs $10,000 to $50,000 for a v1, then a maintenance retainer - and a voice agent that is not maintained drifts: a model update changes its behaviour, a caller finds a path it does not handle, an integration breaks. A no-code platform configured once and left alone drifts the same way, and the integrations and edge cases were on you to begin with. A dedicated Empiric developer is still there in month nine, has built voice agents on the major platforms, and tunes the agent as the models and your call patterns change.

We have built real-time and conversational systems into products - chat, live feeds, notifications, LLM features - and shipped web and mobile products since 2014. The depth shows up in the parts a quickstart skips: a transfer path that warm-transfers with context instead of dumping the caller, voicemail detection that does not waste an outbound slot, latency tuned per turn rather than left at defaults, call-recording disclosure and opt-out handling that survives a compliance question, and the honesty to tell you when a configured platform would do the job without us.

Empiric dedicated voice developer

$2,000/mo

the standard flat monthly rate - 160-172 hrs full-time, exclusive; or $25/hr for a defined scope; senior-lead review; platform/telephony usage billed to your accounts at cost

Fixed-price voice-AI agency build

$10K‑$50K

One-time fee. v1 voice agent; change orders and maintenance extra; usage costs still yours

In-house engineer (fully loaded)

$9.2K‑$13.3K/mo

$110K-$160K salary + benefits + payroll tax + equipment - if you can hire one

Recent AI, real-time, and product work

Travel and hospitality, USA client

Roamate - real-time conversational features in a travel platform

A solo travel companion platform built for a USA founder by a two-person Empiric Infotech team - the Flutter app, the web surface, real-time chat and social feed, and the APIs behind them. The kind of real-time, conversational engineering a voice agent sits on top of.

Read case study

AI product, USA client

Superintelligence - an AI product engineered end to end

An AI product built for a USA client by an Empiric Infotech team - the application, the model integration, and the backend behind it - the LLM-and-tooling work that a voice agent's brain is built from.

Read case study

E-commerce SaaS, United Kingdom client

MarketPlace Monitor - real-time monitoring at scale

An e-commerce SaaS that monitors marketplaces and surfaces deals in real time, built for a UK client by a four-person Empiric Infotech team - the real-time monitoring engine, push infrastructure, and the app and billing around it.

Read case study

Ready to build your AI voice agent?

Tell us the calls you want handled - inbound reception, after-hours answering, appointment booking, lead qualification, outbound reminders - your call volume, your telephony setup, and the systems it needs to touch. Within 24 hours we will send back the first call flows, a platform and voice-stack proposal, the integrations, a team proposal, and a flat monthly price. Your developer starts inside 48 hours, and a senior lead reviews and tests everything before it reaches you.

Who We Help:

For Teams Who Want Voice Automation That Actually
Works

We work with CX, ops, and product leaders who are tired of clunky IVRs and want scalable voice solutions that feel natural and deliver value.

This Is for You If:

You're stuck with outdated IVR systems that frustrate users

Your support or onboarding team is overwhelmed by repetitive voice queries

You want to extend LLM-powered intelligence into your phone or WhatsApp workflows

You need voice experiences that speak multiple languages and understand context

You're looking for scalable, privacy-respecting solutions that integrate with your stack

What We Do

We Build AI Agents Human-Like Voice Interfaces That Scale

From design to deployment, we build voice agents that understand, respond, and act - just like a skilled team member would.

What We Build:

Voice IVRs that go beyond routing - they resolve

Multilingual AI agents for WhatsApp, phone, and apps

Smart appointment scheduling, lead qualification, and onboarding

Voice-first support agents that handle FAQs, triage, and follow-ups

Real-time voice-to-CRM updates, call summaries, and escalations

Tools & Platforms We Use:

We’re platform-agnostic - if it can be automated, we’ll make it happen.

Where AI Agents Make a Measurable Impact

Sales & Lead Response

Instant replies, qualification, calendar booking - without human delay

Built with: n8n, Make, Zapier, and custom API orchestration

Customer Support

Triage queries, update CRMs, generate tickets, escalate intelligently

Powered by: Chat-GPT, LangChain, OpenAI, Gemini

Voice IVR Agents

Smart, conversational IVRs that solve, not just redirect

Tech behind the scenes: OCR, LLMs, vector search, Pinecone

Internal Operations

Generate reports, clean data, run daily workflows on command

Built using: Twilio, Vapi, Retell AI, Telegram, OpenAI

Knowledge Retrieval

Instantly surface SOPs, docs, and product info with citations

Integrated into: Notion, Data Studio, PowerBI, and more

Our AI Solutions in Action

Real Problems. Real Systems. Real Outcomes.

Here’s what happens when we replace duct-tape processes with intelligent automation built to match your operations - not limit them.

From Chat to CRM - Without Lifting a Finger

WhatsApp messages, voice notes, and scattered chats become clean, structured deal logs.

Used by: Sales teams who live in DMs, not dashboards.

No More Manual HR Screening - Ever

AI pre-screens every applicant, flags mismatches, and syncs with your hiring flow.

For growing companies tired of CV overload and ghosted interviews.

Lead Gen at Scale - Zero Burnout

Auto-scrape, enrich, and score leads from public data, triggered with a click or on autopilot.

Built for founders who don’t have a sales team - yet.

Fully Automated Content Engines

From keyword → blog → image → publish - without a single doc, draft, or delay.

Perfect for media teams, solopreneurs, and SEO agencies.

AI That Detects, Not Just Grades

End-to-end aptitude test platform with automatic scoring, cheating detection, and candidate insight.

Designed for hiring at scale, not just checking boxes.

Want to build something like this or smarter?

Our Step-by-Step Process for AI Agent Development at Scale

A Systematic Process to
Launch Voice AI That Works

We don’t just deploy tools - we build voice systems that reflect your operations, logic, and goals.

Discovery & Voice Opportunity Mapping

Identify where voice fits best in your user or ops journey

Outcome: A clear, ROI-driven roadmap for voice integration aligned with your business goals

Stack Planning & Agent Design

Architect the right mix of LLMs, telephony, and logic flows

Outcome: A flexible, future-ready voice agent blueprint with no platform lock-in

Voice Prototype & Validation

Build and test a pilot voice agent on real calls

Outcome: Quick wins and stakeholder buy-in through targeted POCs

Full Development & Integration

Deploy across channels and integrate with CRMs, databases, or APIs

Outcome: Fully functional, end-to-end voice automations in your live environment

Training & Handover

Enable your team to monitor, train, and improve the agent

Outcome: Complete ownership and an empowered internal team ready to manage your voice agent