Forward-deployed AI · New York City
Agents that do the work.
We embed with your team, learn how one job actually gets done, and build agents that do it — always supervised. From the first pilot they run on your real work, matched against your own numbers, so you see them performing — not a demo.
How you'll know it works
You watch it run on your real work, then check its answer against your own.
It runs on your own jobs from the first pilot, matched against your own numbers — you see it work, you don't take our word for it.
The real question
Does it actually touch the bottom line?
Most business AI hasn't. It showed up as a tool and left the hard part to you.
Ours shows up doing the work. You watch an agent do a job you already pay for. You see its output match your own people's, on your own jobs. Then you decide whether it's worth the price. The math is yours, and both numbers are ones you already know: what the work costs you today, and what we charge.
You're not buying "AI." You're buying a job, done.
The process
How it works.
We learn how your work gets done, build agents that do it, and keep them learning — always under your team's eye.
We learn how the work is done
We embed with the person who does the work and capture how it really gets done — the steps, and the judgment they never wrote down.
We build agents that do it
The agents run that workflow on your systems, matched against your people's own results on real work — so you see them performing from the start.
They keep getting sharper
Your expert keeps teaching the agents as the work changes, so they improve over time — and they never run without your team watching.
What we take on
If the work has a number to match, we can build it.
The industry doesn't matter. Any repeatable job your people do — where there's a number to check the result against — an agent can learn and run.
It repeats
A job your team does over and over, the same shape each time.
It has a number
An output you can measure — so the agent's result is checked against your own.
A person does it now
Real work, done by hand today — the agent takes it on, supervised.
Fits all three? It qualifies — whatever your business does.
Control
Always supervised. Always yours.
A person reviews the work. Agents run inside guardrails, and your team signs off before anything counts.
It flags, it doesn't guess. When an agent is unsure, it marks the uncertainty for a human instead of inventing an answer.
Your data stays yours. The agents run in your environment. The expertise they learn is captured where you control it.
Working with us
Flat, transparent, no surprises.
A short paid pilot, then a build fee
The pilot runs on your real work and credits toward the one-time build that stands up the agents.
A flat monthly
To run the agents, supervise them, and keep them improving as the work changes.
Model usage at cost
Token and API costs passed straight through, exactly what the vendor charges, never marked up.
No per-seat games. You know what every line is for.
Questions
Common questions.
Straight answers to what teams ask before they start.
What does NYC AI do?
We're a New York forward-deployed AI company. We embed with your team, learn how a specific job actually gets done, and build agents that do that work — always under your team's supervision. The deliverable is the running system, not a tool or a report.
Do the agents actually do the work, or just assist?
They do the work. We don't build copilots or chatbots that make someone a little faster — we replicate a skilled person's full workflow, and it runs on your real work matched against your team's own numbers, so you see it performing.
What kind of work can you automate?
Any repeatable job with a measurable output — a number your people already produce that the agent's result can be checked against. The industry doesn't matter; the test does.
How will we know it's working?
From a short paid pilot, the agents run on your live work alongside your team, and you compare their output against your own numbers. You see it working on your real jobs — not a demo — before you scale it up.
Are the agents autonomous?
No. They always run under your team's supervision, inside guardrails. When an agent is unsure, it flags the uncertainty for a person instead of guessing.
How does pricing work?
A short paid pilot that credits toward a one-time build fee, then a flat monthly to run and keep improving the agents, with model usage billed straight through at cost. No per-seat pricing.
Where are you based?
New York City. We work with teams on-site and remotely.
Start here
Let's find one workflow to start.
Tell us about a job your team does over and over. If there's a number to match, we'll show you what agents can do with it.