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AI agents · New York, NY

AI agents for a city that doesn't wait

In New York, a lead unanswered for ten minutes is a lead lost. We build AI voice, chat and workflow agents that respond in seconds, book the appointment, answer the question, and hand off to humans with the full story — running on your systems, in your voice.

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The agents NYC companies deploy first

Every New York engagement starts with the same audit: where are you slow? For services firms it's inbound — the form fill that waits four hours for a reply while the prospect calls three competitors. For clinics, showrooms and appointment businesses it's the phone — missed calls at lunch, after 6, on weekends. For ecommerce and SaaS it's the support queue drowning in questions a well-trained agent answers instantly.

We build the agents that close those gaps: a voice agent that answers every call, qualifies and books; a lead-intake agent that replies to inquiries in under a minute with real answers; a support agent trained on your actual policies that resolves the routine 60–70% and escalates the rest with full context. Not demos — production deployments with guardrails, monitoring and honest failure modes.

  • Voice agents: answer, qualify, book, route — 24/7, in your brand voice
  • Lead-intake agents: sub-minute response with real qualification
  • Support agents trained on your docs, policies and past tickets
  • Document agents that read contracts, invoices and forms into your systems
  • Social media agents that draft, schedule and respond on-brand
  • Every deployment: guardrails, human handoff, full audit trail

Deployed on your stack, governed your way

NYC companies come with requirements — security reviews, data-handling policies, procurement processes. We're set up for it: deployments into your cloud or ours, no training on your data without written agreement, role-based access, and audit logs for every agent action. We answer security questionnaires the way an engineering firm should: precisely.

We're a Canadian studio in your time zone, invoicing in USD with a W-8BEN. The engagement economics are simple: agents typically cost less per month than one part-time hire while covering hours no team can — and they never call in sick on the Friday before a holiday weekend.

From audit to live agent

Week one is the audit: we map your inbound flows, read your real tickets and call logs, and pick the one agent that pays back fastest. Weeks two to four are build and training — on your documents, your tone, your edge cases. Then a supervised launch: the agent works, humans watch every conversation, and autonomy expands as accuracy proves out.

Most NYC clients start with one agent and expand within a quarter — the support agent reveals the lead-intake gap, the voice agent reveals how much revenue was going to voicemail. We price per deployment with a monthly run cost you can model, not a per-seat license that punishes growth.

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AI Agents in New York — common questions

Natural enough that callers routinely don't ask — but we configure disclosure per your preference and your state's expectations. It books, reschedules, answers FAQs and routes; anything sensitive goes to a human with a full transcript summary.

Single-agent deployments typically run US$8k–20k to build, plus a monthly run cost (usage + monitoring + improvement) usually between US$300–1,500. Multi-agent programs get program pricing. Fixed quotes after the audit.

We deploy into your cloud when required, sign your DPAs, never train shared models on your data, and log every agent action for audit. We've passed security review at fintech-adjacent and healthcare-adjacent companies — bring your questionnaire.

It says so and hands off — with the conversation summary attached — rather than guessing. Agents are configured with explicit confidence thresholds; low-confidence situations go to humans. That's the whole design philosophy: AI proposes, humans dispose.

Same time zone, USD invoicing, W-8BEN on file — operationally a domestic vendor with a better rate. And we run our own agents in our own businesses, so what we deploy for you is what we trust with our revenue.