Looking for an AI Agency in New York?

Brooklyn. We are a New York company rather than an agency with a rented address and a number that forwards somewhere else, and this is the only state on our site where we can say that. We publish the city rather than a street, which is deliberate: we operate as a service business, meaning we go out to clients rather than having people arrive at a door, so the street itself is not useful information for you. What is useful is what it means in practice. Meetings across the five boroughs and the surrounding metro can happen face to face without becoming an expedition. Time zone questions simply do not exist. And when something needs a same-day conversation, there is no window to catch. For clients further upstate the day-to-day work is remote, in the same way it would be for any part of the country, though the shared clock still removes most of the friction distance normally adds.

It changes the travel, not the work. Building and testing an AI system happens on screen shares and shared documents wherever the client sits, so an upstate project runs the same way a Manhattan one does, at the same times, with the same people. What you lose is the casual in-person visit, and what we would suggest instead is being deliberate about it: one trip worth making, usually early, to watch the actual process rather than hear it described. The upstate work we see is also different in kind. Manufacturers around Buffalo and Rochester tend to have a document and coordination problem rather than a phone problem, so the build leans toward workflow automation, wiring systems together so orders, quotes and changes stop being retyped by hand. The universities and healthcare systems in that corridor more often want agent development. Both are things we build remotely as standard, and neither depends on us being an hour away.

Our largest voice deployment is OraFacePass, an enterprise system handling 250,000 calls a day. It covers more than answering: CRM-to-calendar booking so a call ends with an appointment in the right place, spam and scam detection to filter traffic that should never reach a person, an inbound agent, and a chatbot for product questions. We mention it because it answers what buyers usually mean by the question, which is whether a system holds up when the volume is not a demo. It does. What we would add is that volume on its own is rarely the hard part. Software does not get tired at four in the afternoon, so the ceiling that limits a room full of people does not apply in the same way. The harder parts are accuracy on the calls that matter, clean handover to a person when the agent should stop, and making sure the work all those calls create is spread sensibly afterwards rather than piling onto one desk.

Flowstate is the direct example. It is a healthcare client where we automated clinic operations: appointment booking, patient report handling, inquiry triage so incoming questions are sorted before a person sees them, OCR document handling, which means reading text out of scanned paperwork so it can be filed automatically, and routing into Slack so the right team sees the right item. Those pieces transfer to most practice groups because the underlying problem is the same. Now the part you need before going any further. Evolvv AI holds no healthcare certifications and no security certifications of any kind, and we will never tell you that something we built is certified or approved. What we do is build with clear data handling and logging, and work alongside whoever advises your practice on those questions so that judgment sits with them, before any system touches real patient information.