“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
Dairy and food processing statewide, paper and packaging along the Fox River, heavy machinery around Milwaukee. If your orders, dispatch and supplier calls still arrive mostly by phone, that is where our work fits.
Book a 30-minute callStart with the phone, because that is where a lot of this work begins. A cheese plant taking order changes, a converting mill in the Fox River valley fielding spec questions, a Milwaukee machinery builder handling parts and dispatch calls: if that traffic arrives by voice, at whoever happens to be nearest the handset, it is the right place to look. We build two things for that. An AI voice agent is a phone system that answers or places calls, follows ordinary speech instead of a keypad menu, asks the questions a person would ask, and writes the result somewhere useful. Ours run on Retell, with Claude doing the reasoning behind the conversation. The second is workflow automation, which means connecting the tools you already run, your customer record system, your scheduling calendar, your inbox and your forms, using n8n, so an order or a callback stops depending on somebody retyping it. Neither one replaces the people who know your product and your customers. Both are aimed at the repetitive part of the day rather than the judgement.
One hour separates us. Wisconsin is entirely Central and Brooklyn is Eastern, so when a shift lead in Green Bay starts at seven it is eight here. We are not going to turn that arithmetic into a promise. We publish no support hours, we run no on-call rota and we have no service level agreement, and we would rather say that plainly than imply cover we do not staff. The time difference matters more once a system is live than it does while we are building it, because the agent is the thing answering, not us. An agent taking calls for a business in Eau Claire should keep your hours, not ours, so opening time, the holiday list and the point where calls stop reaching a person all get set against Central before anything goes live. Anything on a schedule is configured the same way. A dispatch summary set for seven is set against your seven, and daylight saving takes care of itself, since Wisconsin and New York change clocks on the same dates.
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.
Four groups, and a straight answer about what we have and have not built for. Dairy and food processing runs statewide: pickup scheduling, plant orders, customer service. Paper, packaging and converting concentrate in the Fox River valley around Appleton, Neenah and Green Bay, where daily traffic is spec questions, order changes and freight coordination. Heavy machinery and industrial manufacturing sit around Milwaukee and the lakeshore, where a sold machine generates parts and service calls for years. Then tourism, which splits in two. Door County, the north eastern peninsula, is busy from spring through autumn, quiet in winter. The Northwoods counties inland have two seasons, summer on the lakes and a winter built on snowmobiling, ice fishing and skiing. We have no Wisconsin clients and no manufacturing or food processing case study, and will not invent one. The closest real work we can show is Flowstate, healthcare clinic automation covering booking, patient reports, inquiry triage and OCR, and OraFacePass, an enterprise voice agent handling 250,000 calls a day with spam and scam detection. Different industries, same shape of problem.
We take on work from businesses anywhere in Wisconsin. 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. Evolvv AI works out of Brooklyn, New York, and we have no office, no staff and no existing clients in Wisconsin. We would rather put that near the top of the page than let you find it later. Delivery is remote, which on this kind of work is not much of a compromise. Scoping happens on a call and the build happens on our side. Nothing we build needs a person standing in your building. If a project genuinely did, wiring physical hardware inside a plant for instance, that is not our work and we would say so rather than take it on. What you get instead is direct contact with the people writing the system. On a build like this the useful decisions are made in small details, and details do not survive being relayed through a third person. How a finished system is handed over is something we agree when the project is scoped, not something we promise from a web page.
Yes, with one condition worth stating early. The agent can answer, understand what the caller wants in plain speech, identify the order or the account, and then either give the status, take the change, or hand the call to the right person with the context already attached. What it cannot do is produce information your systems do not hold. So the real question in a first conversation is not whether the agent can hold a conversation, it is whether your order and dispatch data is reachable, whether that lives in an ERP, a CRM, a scheduling tool or a spreadsheet one person maintains. If it is reachable, we connect it with n8n and the agent reads the same source your team reads. If it is not, that gets sorted first, or the agent stays limited to taking details and routing the call. We would rather scope that honestly than ship something that answers confidently and wrongly.
If your plant runs shifts the office does not, that is one of the clearer cases for a voice agent, because the system has no office hours of its own. The hours you are covering are whichever ones leave the phone unattended: second shift, third shift, weekends, the stretch before the office opens. What the agent does in those hours is a decision we make with you rather than a default we impose. Some businesses want everything answered and held for the morning. Others want a short, named list of situations, a line down, a late truck, a supplier calling about a delivery window, escalated straight to a phone or a Slack channel while the rest waits. We build that split deliberately, because an agent that escalates everything is as unhelpful as one that escalates nothing. If you can pull the last month of after hours voicemails, we would rather start there than guess, because those calls are the actual evidence of what comes in overnight.
Seasonal swing is a build decision rather than a reason to skip it. If your calls pile into a few months, which is the pattern on the Door County peninsula, then the busy version of your business is the one worth designing around, because that is when a call is most likely to go unanswered and you have no way of knowing what was on the other end of it. An agent takes overlapping calls in a way one front desk cannot, though how many at once depends on the phone service sitting underneath it, and that is something we check with your provider rather than assume. The part people underestimate is the other half of the year. What you want said and done in February is rarely what you want in July, so we would set both behaviours up at the start, a shorter set of questions, different booking rules, a different person on call, and you switch between them instead of rebuilding twice a year.
Let’s put AI to work in your business. Start the conversation and see how far we can go, together.
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