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The AI agency USA teams can test before they hire

Evolvv AI is an AI agency in the USA, based in Brooklyn, New York. We build AI voice agents, workflow automation and custom AI agents for businesses across the United States. Eight of our voice agents are live on our homepage, so you can hear the work before you speak to anyone here.

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What an AI agency in the USA actually does

An AI agency designs, builds and runs AI systems inside a company’s own operations. In practice that means three things. AI voice agents that place and answer real phone calls, qualify the caller and book the appointment. Workflow automation that moves records between the tools a business already pays for, so nobody retypes anything. And custom AI agents: systems that read a situation, decide what to do next and act across several tools without a person approving each step. Evolvv AI is an AI agency in the USA that builds all three, headquartered in Brooklyn, New York. We build on Claude, Retell, n8n and HubSpot, we integrate into the CRM, calendar and phone lines you already run, and we deliver into production rather than as a prototype. Our published work includes an enterprise voice system placing 250,000 calls a day for OraFacePass.

That last part is most of the job. Plenty of teams can demo an AI that sounds clever in a meeting. The hard part is a system that writes the booking once, not twice, hands the call to a person when it should, and keeps working after the launch call ends.

Proof

Four things we can show you

Services

What Evolvv AI builds for US businesses

Four kinds of work that often overlap. A voice agent is only useful if the booking it takes lands in your calendar, which is an automation job.

Voice agents

Talk to our AI before you talk to us

All eight agents below are live on our homepage. Open the agent ring to start a real conversation in your browser, then try to break it: interrupt it mid-sentence, give it a vague answer, change your mind halfway through a booking. Those are the moments where voice agents usually fall apart.

Issac

AI Appointment Setter

See how our AI naturally engages prospects, qualifies leads, and books meetings straight into your calendar.

Noah

AI Customer Support

Resolves customer questions in seconds, 24/7, with warm, human-like conversation and accurate answers.

Ethan

AI Sales Closer

Handles objections, pitches value, and closes deals on the call with persuasive, natural dialogue.

John

AI Onboarding Guide

Walks new customers through setup step by step and answers their questions in real time.

Olivia

AI Lead Qualifier

Asks the right questions, scores intent, and passes only sales-ready leads straight to your team.

Sarah

AI Survey Agent

Runs friendly phone surveys and captures clean, structured feedback at scale.

Emma

AI Retention Specialist

Checks in with customers, handles renewals, and wins back accounts before they churn.

Leo

AI Receptionist

Greets every caller, answers FAQs, and routes them to the right place, no hold music, ever.

Real AI systems we have built

Every case study below names the client and describes what we built for them. That is the minimum you should expect from any AI agency you shortlist.

Enterprise voice agent

OraFacePass: an enterprise voice system running 250,000 calls a day

An outbound agent in a cloned human voice placing 250,000 calls every day, wired from CRM to calendar, with spam and scam detection, an inbound agent and a product chatbot.

Read the OraFacePass case study →
Workflow automation

Flowstate: end-to-end automation for healthcare clinics

Appointment booking, patient reports, inquiry triage with Slack alerts, and OCR on incoming documents, routing work automatically and alerting the team when a person is genuinely needed.

Read the Flowstate case study →
AI-powered SaaS

Knock: an AI roleplay and coaching platform for summer sales

A full platform built around AI agents, where the agent is the product rather than an internal operations tool.

Read the Knock case study →
Multi-agent system · Australia

Quantum: an AI agent pipeline for a development finance broker

A chained pipeline that discovers property-development opportunities, scores each lead with Claude, files it in HubSpot, runs a five-touch outreach sequence and books the meeting.

Read the Quantum case study →

“…their rare combination of deep technical AI expertise and practical business acumen.”

John Althausen, COO, Haus AI · Melbourne, Australia · verified review on Clutch, March 2026

For Haus AI we built an outbound AI sales voice agent, an inbound AI voice receptionist and an n8n social media automation. Clutch’s write-up of the review reports qualified lead volume up 40% and the missed call rate taken to zero.

AI agency, freelancer, in-house team or a DIY platform?

There are four common routes. Here is how they compare on the things that decide whether the system is still working a year from now.

QuestionAn AI agency like oursFreelancerIn-house teamDIY platform
Skills in one placeVoice, automation, integration and model work under one roofUsually one specialismWhatever you hire for, one role at a timeThe platform’s features, and nothing past them
Speed to a first working systemFast, when the agency has built the same kind of thing beforeFast for a narrow jobSlow, because hiring comes firstFast to a demo, slow to a system wired into your tools
Who fixes it when it breaksThe team that built itOne person, if they are freeYour team, once they have learned itYou, with the vendor’s help docs
Fits best whenSeveral systems have to work together and you do not want to manage the buildThe job is small and well definedAI is core to your product for yearsThe use case is standard and you have time to set it up

We are an agency, so weigh our view accordingly. If you have one simple, single-tool automation to set up, a DIY no-code tool is probably enough on its own.

How we build, from first call to production

  1. Discovery and process auditWe map the job the AI will do: which systems already hold the data, where a person makes the decision today, and what done looks like.
  2. Architecture and tool selectionWe pick the model and stack for the job. Claude for reasoning, Retell for voice, n8n for orchestration, Clay, Apify and Phantombuster for enrichment and outreach.
  3. Build and integrateThe system is wired straight into your CRM, calendar, phone lines and databases, so results land in the tools you already run the business on.
  4. Test under real conditionsBefore go-live it runs against real calls, documents or leads in a staging or shadow mode. For voice, that means live test calls with you on the line.
  5. Launch and operateIt goes live and we watch call volume, accuracy and escalations, rather than handing over a black box and disappearing.
  6. Document and iterateEvery build ships with documentation so your own team can run it, and we refine scoring, scripts and integrations as your business changes.
Built on
  • Claude
  • Retell
  • n8n
  • HubSpot
  • Clay
  • Apify
  • Phantombuster
  • LangChain
  • LangGraph
  • Twilio
  • Airtable
  • Calendly
  • Slack

Why hire an AI agency based in the USA

Evolvv AI is headquartered in Brooklyn, New York, and works with businesses anywhere in the United States. Eastern, Central, Mountain and Pacific all overlap with our working day for at least four hours, which is enough for the sessions that need to be live: discovery, test calls and launch.

It matters for the work itself too. Outbound calling practice, customer-data handling and CRM integrations all carry US-specific operational considerations that are easier to get right from inside the market. And when a workflow breaks after launch, you are talking to the people who built it, not an account manager routing a ticket across a ten-hour time difference.

How to choose an AI agency in the USA: seven questions to ask

These are the questions we would ask if we were hiring an agency like ours. Ask them of everyone on your shortlist, us included.

  1. Can I talk to something you have built?

    A recorded demo only shows the calls that went well. Ask for a live system you can test yourself, then push it: interrupt it mid-sentence, give it a vague answer, change your mind halfway through a booking.

    Our answer Yes. Eight voice agents are live on our homepage.

  2. Which clients can you name, and what did you build for them?

    A logo with no story tells you nothing. Ask for the client’s name, the system, and what it does.

    Our answer Four published case studies: OraFacePass, Flowstate, Knock and Quantum (Australia).

  3. What happens when the AI is unsure, or wrong?

    An agent that acts confidently on a bad input is worse than no agent. Ask where the system stops and hands over to a person, and whether that handover carries the context with it.

    Our answer We design it in. Flowstate alerts the clinic team when a person is genuinely needed, and Quantum hands over to a person through a defined escalation.

  4. Will it write into the systems we already use?

    If the AI only lives in a separate dashboard, you have created a second place to look. Ask whether it writes the result into your CRM, your calendar and your phone system.

    Our answer Yes. OraFacePass books from CRM to calendar, Flowstate writes into a clinic calendar and Slack, and Quantum files scored leads into HubSpot.

  5. What will it cost to run, not just to build?

    There is the cost of building it and the cost of running it. The running cost comes from the voice platform and the model, and it scales with volume, so a simple agent making thousands of calls a day can cost more to run than a complicated one making fifty.

    Our answer We work through that arithmetic for your own volumes on the first call.

  6. Can my own team run it after launch?

    If only the agency understands the build, you are renting it. Ask what documentation you get and who maintains the system once it is live.

    Our answer Every build ships with documentation so your own team can run and maintain it.

  7. Are you actually in the US?

    Plenty of offshore vendors operate behind a US-facing brand. Ask for a location, a phone number and the names of the people leading the work.

    Our answer Brooklyn, New York. +1 914 369 5427. Our leadership team is named on our homepage.

Where we work

AI services across the USA

We deliver remotely from Brooklyn, New York and St. Petersburg, Florida. There is no office in the cities below, and we would rather say that than imply otherwise. Each page covers how we work with businesses there.

See all 50 state pages

Frequently asked questions

What does an AI agency do?

An AI agency designs, builds and runs AI systems inside a company’s own operations, rather than selling one piece of software off the shelf. The work usually falls into three areas. Voice agents place and answer phone calls, qualify the caller and book the appointment. Workflow automation moves data between the tools a business already uses and triggers the next step without anyone retyping it. Custom AI agents read a situation, decide what to do next and carry that decision across several systems. A good agency also owns the unglamorous parts: connecting to your CRM and calendar safely, deciding where the AI hands over to a person, testing against real calls before launch, and documenting the build so your team can run it. Evolvv AI is an AI agency in the USA, based in Brooklyn, New York, that does all of this. Our published work includes OraFacePass, Flowstate, Knock and Quantum, a multi-agent system for a development finance broker in Australia.

Is Evolvv AI based in the USA?

Yes. Evolvv AI is a US company headquartered in Brooklyn, New York, and we also work from St. Petersburg, Florida. You can reach us on +1 914 369 5427 or at info@evolvvai.com, and our leadership team is named on our homepage. We state it plainly because it is a fair question, and because the answer should be checkable rather than asserted. Being in the market matters for two practical reasons. Time-zone overlap means you get a person on a call during your business hours instead of waiting overnight for a reply. And outbound calling practice, customer-data handling and CRM integrations all carry US-specific operational considerations that are easier to get right from inside the market. Our case studies, our stack and eight live voice agents are all published on evolvvai.com, so you can check rather than take our word.

What is the difference between an AI agency and an AI automation agency?

The two terms overlap, and plenty of agencies use both. Strictly, an AI automation agency is about connecting business tools so data moves and actions trigger without a person in the middle, usually on a workflow platform such as n8n. An AI agency is the broader term. It also covers voice agents that hold real phone conversations, custom AI agents that make decisions rather than follow a fixed script, and AI-powered software products. The distinction matters when you choose a vendor. If your problem is that leads sit in an inbox and nobody routes them, an automation specialist may be all you need. If you want an AI that answers the phone, qualifies the caller, books the meeting and writes it into your CRM, you need voice, automation and integration work in one team. Evolvv AI does all of it. Our AI automation agency page covers workflow work in depth, and AI agent development covers agents.

How much does it cost to hire an AI agency in the USA?

It depends on what you need built. Four things drive the build cost. How many systems you need, and whether they have to coordinate with each other. How many tools have to be connected, and whether those tools have clean APIs. Whether voice is involved, since live telephony carries its own infrastructure. And how much data enrichment the workflow needs. Then there is a second cost that behaves differently, which is the running cost. Voice platforms and language models are billed by usage, so the monthly bill scales with call volume rather than with features. A simple agent making thousands of calls a day can cost more to run than a complicated one making fifty. Budget for both. We work through that arithmetic for your own volumes on a 30-minute call, so the number you get fits your case.

How long does an AI project take?

We do not quote a standard timeline up front, because it depends on your systems as much as ours. A single voice agent wired into one CRM is a much smaller job than a multi-agent pipeline that touches several data sources, a scoring step and an outreach sequence. Three things set the pace. Access: how quickly we receive credentials and a test environment for your CRM, calendar and phone system, since nothing can be wired in until those exist. Decision clarity: rules a person applies by instinct today have to be written down before an AI can apply them consistently. And testing: anything that touches real customers runs in staging or shadow mode against real calls, documents or leads before go-live, and we do not compress that step. Small voice agent work and automation wiring tend to move quickly. You get a realistic timeline on the scoping call, once we know what we are building.

Can I try your AI before I hire you?

Yes. Eight AI voice agents are live on the Evolvv AI homepage: Issac, appointment setter; Noah, customer support; Ethan, sales closer; John, onboarding guide; Olivia, lead qualifier; Sarah, survey agent; Emma, retention specialist; and Leo, receptionist. Click one and talk to it in your browser. There is no form, no download and no sales call first. Each call is started from our own server rather than a third-party demo widget, and runs on Retell, the voice platform we use in client work, so what you hear is our build. We put them in the open on purpose. Voice is the hardest part of AI work to judge from a description, because what matters is how the agent handles an interruption, a silence, an unclear answer and a question nobody scripted. Start with the agent closest to your use case. For automation and multi-agent work, our case studies show what we built and who we built it for.

Do you work with businesses outside New York?

Yes, anywhere in the United States. We deliver remotely from Brooklyn, New York and St. Petersburg, Florida, which is normal for this kind of engineering work, and we do not keep offices in other cities. What matters for a voice or automation build is time-zone overlap for the working sessions, a shared calendar for testing, and a handover that leaves your team able to run the system. Eastern, Central, Mountain and Pacific all overlap with our working day for at least four hours. Our pages for Austin, Boston, Chicago, Santa Clara, San Francisco and Los Angeles, and a page for each of the 50 states, explain how we work with businesses there. If you need someone physically in the room on a regular basis, we will tell you plainly that we are not the right fit rather than take the work and disappoint you.

What tools and AI models do you build with?

Mainly Claude for reasoning and scoring, Retell for voice, n8n for workflow orchestration, HubSpot as the CRM layer, and Clay, Apify and Phantombuster for data enrichment and outreach. We have also connected voice agents to Twilio, Airtable, Calendly and Slack in delivered work, and built retrieval assistants on LangChain. Each tool has one job. Claude makes the judgement calls, reading a lead, a document or a transcript and deciding what it means. Retell runs the real-time speech loop, where a pause in the wrong place is enough to make a call sound broken. n8n holds the workflow together and makes failures visible instead of silent. HubSpot is where the result lands, because an AI that decides something and writes it nowhere is useless. We pick the stack to fit the job rather than forcing every client onto one platform, and we integrate into the tools you already run rather than asking you to migrate.

Get in touch

Let’s put AI to work in your business. Start the conversation and see how far we can go, together.

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Evolvv AI · Brooklyn, New YorkPublished 8 October 2026AI voice agents · AI automation agency · AI agent development