“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
Forty miles in West Virginia is not forty minutes. It is the most mountainous state east of the Mississippi, and a vendor who has to drive to you is a worse fit than one who never needs to.
Book a 30-minute callPicture the owner of a regional service business somewhere in the mountains, ninety minutes from a job site that is thirty miles away as the crow flies. The phone rings in the truck. Half the time it goes to voicemail, and some of those callers do not ring back. That is the problem an AI voice agent solves: software that answers the call, holds a normal spoken conversation, asks what a person would ask, and can check a record or book something while the caller is still there. The second thing we build is workflow automation, meaning the steps between your tools happen on their own instead of someone re-entering the same details after the fact. In a state where travel eats hours, both come down to the same benefit. The business keeps working while the people in it are moving. Neither one asks you to change how the work itself gets done, only what happens around it.
West Virginia and Brooklyn are on the same clock, so there is no time difference to manage at all. Eastern time at both ends means a question sent at nine is read at nine, and the working day overlaps completely rather than partially. Meetings sit wherever they suit you. The more useful point is that none of this involves anyone driving anywhere. Delivery is remote from Brooklyn, so discovery, building, testing and handover all happen over video calls and shared documents. In a state where a forty mile trip can take ninety minutes each way, a vendor who has to be in the room turns every review meeting into most of a day for somebody. We would rather that time went into the build. What we need from your side is straightforward: someone who can approve access to the systems we are connecting, and a couple of hours with the person who actually runs the process today, wherever in the state they happen to sit.
Phone agents built on Retell that answer or place calls, understand the caller in natural language, qualify them, and book straight onto a calendar.
We wire your CRM, forms, calendar and inbox together with n8n so records and follow-ups move on their own instead of being retyped.
Agents built on Claude, LangChain and LangGraph that reason through multi-step work, pull from your systems and finish the task end to end.
Custom software with AI built in from the first commit, for teams whose workflow no off-the-shelf product actually covers.
Fast, accessible sites structured so people and AI search engines can both read them, wired into the same automations you run elsewhere.
A straight read on which parts of your operation are worth automating first, which to leave alone, and what order to do it in.
Energy operations, natural gas and coal alike, generate a steady stream of scheduling, dispatch and supplier calls, which is where a voice agent fits. The chemical and manufacturing base in the Kanawha Valley tends to have the other problem: several systems that do not talk to each other, and people bridging them by hand. That is automation work. Healthcare is one of the state’s largest employers, and rural clinics in particular match the pattern we built for Flowstate, a healthcare clinic, covering appointment booking, inquiry triage, document handling and routing into Slack. Tourism around the New River Gorge, the whitewater outfitters, lodges and Snowshoe, runs on seasonal booking calls that arrive in bursts, which a voice agent can absorb without anyone sitting by a phone. Trucking and logistics firms want status and dispatch handled without a dispatcher answering the same question over and over. Higher education and the professional firms around Charleston and Morgantown mostly want enquiry triage.
We take on work from businesses anywhere in West Virginia. The 24 cities and towns below are a signpost rather than a boundary. Delivery is remote, so there is no travel radius making one place more practical than another.
We work with businesses across the United States from Brooklyn, New York and St. Petersburg, Florida. Delivery is remote, so distance is not what shapes a build.
Serving businesses across the United States from Brooklyn, New York and St. Petersburg, Florida. See all locations
No, and in West Virginia that is worth more than it sounds. Every part of the work happens remotely from Brooklyn: discovery calls, building, testing, handover and training. Nothing we do requires standing in your building. That matters here because a vendor who does need to visit is quietly building drive time into every step, and drive time in this state is not a function of distance. A supplier forty miles away on the map can be ninety minutes each way over a ridge, and that time comes out of the schedule. Remote delivery removes the question entirely. What we do need is access, meaning someone at your end who can grant permission to connect to the systems we are automating, plus a couple of hours from a person who genuinely knows how the process currently works. That second person matters more than any software decision we make.
Yes, and multiple sites is one of the clearer cases for doing this at all. Because the system runs in the cloud rather than on a machine in one building, location stops being a variable. A single voice agent can answer for every site and route by what the caller says, or you can run one per site with different opening lines, hours and booking rules while everything still lands in the same place behind the scenes. The same is true of automation, where a process defined once applies everywhere, so a form filled in at one location follows the identical path as one filled in three counties away. The practical benefit for a business spread across mountainous ground is that you stop having a different informal process at each site. What you should think about first is whether the sites genuinely do things the same way today. Where they do not, we standardise on paper before automating anything.
It should hand over, and how it hands over is decided when the system is built rather than left to chance. The usual pattern is a live transfer to a person if someone is available, and a structured message if nobody is, meaning the caller’s details and what they wanted are written down and sent where your team will see them. The important part is that the limits are set deliberately. A voice agent is given a defined scope, the things it is allowed to answer and act on, and told what to do at the edge of it. A system that tries to answer everything is a worse system, because a confident wrong answer causes more damage than a transfer. We test this before handover by running the awkward calls on purpose: the caller who is angry, the one who asks something off topic, the one who will not give a name.
We look for the task that is repeated most often, follows the clearest rules, and annoys someone the most. Those three usually point at the same thing. Then we check one more thing before committing, which is whether the process is actually stable. Automating something that changes every month means rebuilding it every month, so if a process is still being figured out, it stays manual for now. In practice the first build is deliberately small. One phone line, or one enquiry route, not the whole operation. That is not caution for its own sake, it is so you can watch the thing working with your own data before deciding whether to extend it. It also means that if we have misunderstood how your business works, and that does happen, the misunderstanding is easy to correct. Anything broader gets designed after the first piece is running and you have opinions about it.
Let’s put AI to work in your business. Start the conversation and see how far we can go, together.
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