“Implementing their AI agents completely transformed our customer support pipeline. Hands down the best tech integration we’ve done this year.”
Sarah Jenkins
CEO at NexaFlow
What an AI agency in Boston actually does
An AI agency builds software that can act like an employee: it answers phones, follows up with leads, moves data between your tools, and handles the repetitive parts of a job so your team can focus on the parts that need a human. For Boston businesses, that usually means one of two things.
An AI voice agent is a program that can hold a real phone or web conversation, answer questions, book appointments, and hand off to a person when the conversation needs one. Workflow automation is software that connects your existing tools like your CRM, calendar, and inbox, so information moves between them without someone copying and pasting.
We do not sell software off a shelf. We build the agent or the workflow around how your business actually runs, using tools like Claude for the reasoning, Retell for phone conversations, n8n for connecting systems, and HubSpot or Airtable for the data. Boston has a dense concentration of hospitals, teaching institutions, and biotech and life sciences companies clustered around Cambridge and Kendall Square, alongside a long-established financial services industry. All of those businesses run into the same underlying problem: too many manual steps between a customer, a patient, or a student and an outcome. That's the gap an AI agency closes.
Hire AI developers for your Boston business
Boston is the easiest city on this list for us to work with, for a boring reason: it is on Eastern Time, the same zone as our Brooklyn base. There is no offset to design around and no morning window to protect. A 9am call is 9am for both of us.
What we do not have is a Boston office. Evolvv AI works from Brooklyn, New York and St. Petersburg, Florida. If your procurement process requires a local entity or regular on-site presence, that is a genuine constraint and worth raising in the first ten minutes rather than the tenth week.
Engagements open with a scoping call whose only job is to establish whether the thing you want is buildable the way you are imagining it. We will usually ask what happens today when the process you want automated goes wrong, because the failure path is what shapes the build. From there we work in short cycles with a version you can test yourself.
Boston buyers tend to arrive with a technical reviewer in the room, often from a hospital IT group, a university, or a compliance function. We would rather that person interrogate the design early. Every build ships with documentation covering what exists, how it connects, who holds admin access, and how to change it after we are gone.
AI services for Boston companies
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AI Voice Agents
Custom phone and web voice agents built on Retell that answer calls, qualify leads, book appointments, and escalate to a human when a conversation needs one.
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Workflow Automation
We connect your CRM, calendar, inbox, and internal tools with n8n so information moves automatically instead of being copied by hand between systems.
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AI Agent Development
Custom agents built around one specific business process, from lead qualification to document handling, using Claude for reasoning and decision logic.
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AI SaaS & App Development
We design and build software products with AI features baked in, from early prototype through to a production application your team can sell or run on.
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Web Development
Marketing sites and web applications built for speed and clarity, with schema markup and structured content so both search engines and AI tools can read them.
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IT & Business Consulting
Practical advice on where AI actually fits in your operations, what tools to use, and what to build in-house versus bring in outside help for.
Built for Boston industries
Boston's economy runs on a small number of very large, well documented sectors: hospitals and healthcare systems, biotech and life sciences research concentrated around Cambridge, higher education, and financial services and asset management. Each of those runs into the same operational problem at scale: too many manual handoffs between a patient, a student, a client, and the person who can actually help them.
For healthcare operations specifically, our Flowstate case study is the closest match to what we build for Boston: appointment booking, patient report handling, inquiry triage, OCR for incoming documents, and Slack routing so staff see what needs attention without checking separate inboxes. For any Boston business fielding a high volume of calls, our OraFacePass build is the relevant proof: an enterprise voice agent handling 250,000 calls a day, with spam and scam detection and a direct line into the CRM and calendar.
We size the build to the problem, not the other way around.
What is an AI voice agent?
An AI voice agent is software that holds a phone conversation. It transcribes speech as it arrives, decides what to say next using a language model, and speaks back in a synthetic or cloned voice, all inside the gap a person will tolerate before a silence feels wrong.
Two things it is routinely confused with are worth separating out. A phone menu maps a keypress or one recognised keyword to a branch someone wrote in advance, so an unanticipated sentence returns you to the options. A text chatbot handles open language but carries no clock, because a reader waiting two seconds notices nothing. A voice agent carries both constraints at once: open language and a hard timing budget.
In a market with as much regulated work as Boston, the design question that matters most is what the agent does when it should not answer. A model pushed outside what it was given will often produce a confident answer anyway, and a caller on a phone has no link to check and no way to tell a guess from a fact. We build agents to say plainly that they do not know, with a defined handoff behind that sentence: what triggers it, where the call goes, and what the person picking it up is told about the conversation so far.
Other locations
AI services in other US cities
We work with businesses across the United States from Brooklyn, New York and St. Petersburg, Florida. There is no Boston office, and we would rather say so than imply one.
Serving businesses across the United States from Brooklyn, New York and St. Petersburg, Florida. See all locations
Frequently asked questions
Do you have an office in Boston?
No. Evolvv AI is based in Brooklyn, New York, with our registered company address in St. Petersburg, Florida. We do not have a physical office, staff, or drop-in location in Boston, and we won't tell you otherwise to sound more local. What we do have is a remote-first way of working that most software and automation vendors use today: video calls for scoping and check-ins, shared documents for specs and progress, and the work shown in stages rather than handed over in one go at the end. Boston runs on Eastern Time, the same zone as our Brooklyn base, so there is no time-zone offset to plan around at all, just a normal overlapping business day. If having someone physically on-site matters for your project, for example hardware installation or in-person training, tell us upfront and we will say plainly whether that is something we can support or not.
How is an AI agent different from a chatbot?
A chatbot works off a script: it matches your words to a fixed list of pre-written responses, and it has nowhere to go once a question falls outside that list. An AI agent, built on a model like Claude, actually reasons about the request instead of matching it to a template. It keeps context through a longer back-and-forth, decides which system to check or action to take, books the appointment or updates the record itself, and knows when to stop and route the conversation to a person. The gap between the two shows up the moment something unusual happens. A chatbot either gives an answer that misses the point or a flat "I didn't understand that". An agent can ask a follow-up question, look the real answer up in a connected system, or hand off to a human with full context attached, so nobody has to explain the situation twice. That difference usually decides whether an automation project gets adopted or quietly turned off.
How long does an AI voice agent project usually take?
It depends on scope, but the pattern is consistent. A focused voice agent, say one that handles appointment booking and common questions for a single practice or office, generally moves through scoping, writing out the conversation flows, wiring it into your calendar or CRM, and testing it against real call scenarios before it ever talks to an actual customer. A larger build, like a voice agent covering support across several service lines with escalation rules and fraud checks, takes longer simply because there is more to connect and more to test properly. We won't hand you a fixed number of weeks before we have actually seen the scope, because a voice agent wired into three existing systems is a genuinely different project from a standalone one. What we can promise upfront is the working style: short cycles, visible progress along the way instead of one big reveal, and a version you can talk to and react to well before the final launch date.
Will an AI system connect with our existing CRM and scheduling tools?
In most cases, yes. We build around the tools you already use rather than asking you to migrate to something new. The voice agents and workflows we build regularly connect to HubSpot for CRM and pipeline data, Airtable for structured records, standard calendar tools for booking and rescheduling, and Twilio for the phone infrastructure a voice agent needs to place or receive calls. When a workflow needs to find or enrich contact and company data first, we use Clay, Apify, and Phantombuster. If your business runs a different CRM or an internal tool we have not touched before, that is normally still workable, since almost all modern business software exposes an API, a documented way for other programs to read and write its data. Building that connection is part of the project, not an add-on. The one real limit is software with no API at all and no way to move data in or out. That is uncommon, but if it applies to your setup, we will say so during scoping.
What industries do you actually work with?
We have built for healthcare and clinic operations, financial services and lead-generation businesses, coaching platforms, and businesses with high call volumes, all of which are heavily represented in Boston's economy alongside biotech and higher education. Our public case studies show the range: Flowstate is healthcare clinic automation covering appointment booking, patient reports, inquiry triage, OCR for documents, and Slack routing. OraFacePass is an enterprise voice agent handling 250,000 calls a day, with spam and scam detection built in. Quantum is a multi-agent pipeline built for a development finance broker in Australia. Knock is an AI roleplay and coaching platform for sales training. We won't claim deep experience in an industry we have not actually worked in. If yours is not on this list, the honest answer is that the underlying technology transfers across most industries, but the specific rules and integrations still need to be built for your business, not assumed from a template.
