“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 Austin 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 Austin 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. Austin has a large concentration of software and tech companies, plus a growing healthcare and biotech sector tied to the University of Texas's medical school and research programs. Both kinds of businesses run into the same underlying problem: too many manual steps between a customer and an outcome. That's the gap an AI agency closes.
Hire AI developers for your Austin business
We are not based in Austin, and we won't pretend otherwise. Evolvv AI works out of Brooklyn, New York and St. Petersburg, Florida, and we work with clients remotely across the country. That is a normal way to hire an AI development team in 2026, and for Austin specifically it works cleanly: Austin runs on Central Time, one hour behind our teams, so a normal 9-to-5 in Austin overlaps with almost all of our working day.
Engagements start with a scoping call over video, where we map out what you actually need built: a voice agent, a workflow, an internal tool, or a mix. From there we work in short cycles, share progress on a running basis, and never disappear for weeks at a time. When a project is handed over, you get real documentation: what was built, how it connects to your existing tools, who has admin access, and how to change it later without calling us first.
We are upfront that we do not have a physical office in Austin. If your team needs someone on-site regularly, that is a real constraint worth knowing before you start. If your team is comfortable working with a remote technical partner, which most software and automation vendors are today, distance is not the obstacle it used to be.
AI services for Austin companies
-
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.
-
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.
-
AI Agent Development
Custom agents built around one specific business process, from lead qualification to document handling, using Claude for reasoning and decision logic.
-
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.
-
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.
-
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 Austin industries
Austin's economy leans heavily on software, hardware, and tech services, alongside a growing healthcare and biotech cluster around the University of Texas's medical school. Both of those worlds generate the same kind of workload: high call volume, repetitive data entry, and processes that scale faster than a team can hire for.
For healthcare and clinic operations, our Flowstate case study is the closest match to what we build for Austin: appointment booking, patient report handling, inquiry triage, OCR for incoming documents, and Slack routing so staff see what needs attention without hunting through separate inboxes. For any business fielding a high volume of inbound or outbound calls, our OraFacePass build shows the other end of the spectrum: an enterprise voice agent handling 250,000 calls a day, with built-in spam and scam detection and a direct line into the CRM and calendar.
We build to the size of the problem, not a fixed package. A ten-person Austin startup and a multi-location clinic need very different systems, even if the underlying AI is doing similar work.
What is an AI voice agent?
An AI voice agent is software that can hold a real phone or web conversation using synthetic speech and a language model, instead of a human agent or a static phone tree. It listens to what the caller says, understands the intent, and responds in natural sentences, in real time, not with a menu of pre-recorded options.
A good voice agent can answer common questions, qualify a lead, check availability and book an appointment, pull up account details, and hand the conversation to a human the moment it hits a question it should not answer alone. It runs on a speech platform such as Retell, connected to a language model such as Claude for reasoning, and to business systems such as a CRM or calendar so it can actually take action, not just talk.
The difference between a voice agent and a basic chatbot is that a voice agent operates on the phone channel, in spoken language, under real-time pressure, where a customer expects an answer in seconds, not a typed reply.
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 Austin 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 Austin?
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 Austin, 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. Austin runs on Central Time, one hour behind our base, which means a normal Austin business day overlaps with almost all of ours, so scheduling calls and getting quick answers is not a problem in practice. 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.
What is the difference between an AI agent and a chatbot?
A basic chatbot follows a script. It matches keywords or clicks to a small set of pre-written answers, and it breaks the moment a question falls outside that script. An AI agent, the kind we build using models like Claude, actually reasons through the request: it can hold context across a longer conversation, decide which tool or system to check, take an action like booking a slot or updating a record, and recognise when it should stop and bring in a human. The practical difference shows up in edge cases. A chatbot facing an unusual question either gives a wrong answer or a dead-end "I don't understand". An agent can ask a clarifying question, look up the actual answer in a connected system, or escalate cleanly with the right context attached, so the human picking it up isn't starting from zero. For most businesses, that difference is the entire reason automation succeeds or gets abandoned.
How long does it take to build and deploy an AI voice agent?
Timelines depend on scope, but the shape of the work is consistent. A focused voice agent, for example one handling appointment booking and FAQs for a single location, typically moves through scoping, scripting the conversation flows, connecting it to your calendar or CRM, and testing with real call scenarios before it goes live to real customers. A more complex build, like a voice agent handling inbound support across multiple product lines with escalation rules and spam detection, takes longer because there is more to test and more systems to connect correctly. We do not quote a fixed number of weeks without seeing the actual scope first, because a voice agent connected to three existing systems is a different project than one built standalone. What we can tell you upfront is how we work: short cycles, visible progress instead of a single reveal at the end, and a working version you can actually talk to well before final launch.
Can you integrate with the CRM and scheduling tools we already use?
Usually, yes. Most of what we build connects to tools you already run rather than asking you to switch systems. Our workflow automation and voice agents commonly connect to HubSpot for CRM and pipeline data, Airtable for structured records, calendar systems for booking and rescheduling, and Twilio for phone infrastructure where a voice agent needs to make or receive calls. For finding and enriching contact or company data before it ever reaches a workflow, we use Clay, Apify, and Phantombuster. If you are running a different CRM or a custom internal tool, that is usually solvable too. Most modern business software has an API, a documented way for other software to read and write its data, and connecting to it is part of the build, not an extra project. The one honest limit is software with no API and no way to move data in or out at all. That is rare, but if it applies to you, we will tell you plainly during scoping rather than promising a connection we cannot deliver.
What industries do you actually work with?
We have built for healthcare and clinic operations, financial services and lead-generation businesses, coaching and training platforms, and businesses that rely on high call volumes. 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 CRM-to-calendar syncing and spam and scam detection. Quantum is a multi-agent pipeline we built for a development finance broker in Australia, covering lead scoring and a five-touch outreach sequence. Knock is an AI roleplay and coaching platform used for sales training. We are not going to claim deep experience in an industry we have not actually worked in. If your industry is not on that list, the honest answer is that the underlying technology transfers across most industries, but the specific rules, integrations, and edge cases still need to be built for your business, not assumed from a template.
