We design and ship custom AI systems that clear the repetitive backlog off your team, so intake, deal flow, and reporting keep moving whether your New York office is packed or quiet.
Book a Discovery CallNew York runs on billable hours and closing speed, and both are expensive here. A first-year associate at a Midtown law firm, an analyst on a Financial District trading desk, and a media buyer off Madison Avenue all cost a fortune and all lose hours a week to intake, data entry, and status chasing a system could carry.
That is the case for custom AI in this city. When licensed, credentialed, and senior staff spend their day rekeying deal data and answering the same client questions, automation hands those hours back to the work that actually bills, from Flatiron fintech startups to established firms along Park Avenue.
New York rewards whoever answers first. A lead that reaches a broker in seconds beats one that sits in an inbox, and a fund that clears onboarding in days wins the allocation over one that takes weeks.
While your requests queue up across email and spreadsheets, a competitor a few floors up has already wired intake, triage, and follow-up into systems that run overnight. Every quarter you wait is a quarter of Manhattan-rate salary spent on work no one should be doing by hand, and a wider gap against the firms that automated first.
We do not hand you a chatbot and walk away.
We ship production systems that stand up to real New York volume, from trading-desk reconciliation to matter intake to patient scheduling.
We trace the manual processes bleeding your team’s hours, from client onboarding to trade reconciliation to document review, and rebuild them as automated pipelines that run without someone minding each step.
Agents that carry a request end to end, checking the details, updating the system of record, and drafting the reply, so a person only steps in on the genuine exceptions a deal or a case throws up.
Systems that catch every inbound lead, qualify it, and follow up within seconds, so a listing inquiry or a demo request never cools off overnight while your team sleeps.
We pull scattered numbers from your CRM, deal platform, and finance tools into one live view, so partners and desk heads decide on current data instead of last week’s exports.
We wire AI into Salesforce, iManage, NetDocuments, and the databases and legacy systems you already run, using their APIs so your stack stays intact instead of getting torn out.
We stay on after launch to watch throughput, retune the logic against real volume, and widen the system into adjacent workflows as your caseload and deal flow grow.
A well-scoped AI build earns back its cost by taking a recurring queue off payroll for good. It absorbs the intake, the chasing, and the data entry that quietly burns a full Manhattan salary, runs through nights and weekends, and hands your senior people back the hours they were hired for.
You take on more matters, more deals, and more listings without another hire in one of the most expensive labor markets in the country.
Few cities concentrate as much high-value, document-heavy work as New York. The Financial District and Midtown hold the banks, hedge funds, private equity shops, and asset managers that make the city the center of global capital, while Flatiron and the Brooklyn tech corridor around DUMBO fill Silicon Alley with fintech and SaaS teams. Each of them runs on client data, deal documents, and reporting that pile up faster than people can process.
Around that sit the professions that serve them. Big law firms line Park and Sixth Avenue, the advertising and media houses off Madison Avenue and in Hudson Yards move campaigns at pace, and residential and commercial brokerages work listings across all five boroughs. Health systems like Mount Sinai, NYU Langone, and NewYork-Presbyterian add a hospital economy the size of a small state. The industries look nothing alike, yet they drown in the same intake, routing, and reconciliation work.
For finance and fintech teams downtown and in Flatiron, the early wins are investor onboarding and KYC checks, trade and expense reconciliation, portfolio reporting, and pulling data between trading, CRM, and accounting systems without an analyst rekeying it. For the law firms in Midtown, we start with client and matter intake, conflict checks, document review and discovery triage, and the billing and status updates that eat associate evenings.
Media and advertising shops automate campaign reporting, invoice and insertion-order handling, and the asset routing that clogs account teams before a launch. Real estate brokerages automate lead capture and follow-up, listing coordination, and lease and application paperwork. Hospital groups automate patient intake, referral routing, and prior authorization. Across all of them, the build that pays back fastest is rarely the flashy one. It is the recurring queue nobody wants to open first thing Monday.
A New York request rarely arrives one clean way. A prospective tenant texts a broker, an investor emails after hours, a client uploads documents to a portal, and a referring physician sends records at midnight. We build one intake layer that captures every channel, reads the intent, and drops each request into the right queue with its context already attached. An onboarding request lands with the KYC checklist started, and a new matter lands with the conflict check already running.
Behind that intake sits the workflow that actually closes the request. An agent verifies the details, updates the system of record, drafts the response for a person to approve, and escalates only what genuinely needs judgment. We judge a build by how few tickets a person ever has to touch, given the volume a Manhattan operation runs at.
New York stacks are almost never greenfield. Firms run Salesforce alongside portfolio, order-management, and reporting systems, law firms run iManage or NetDocuments with Elite or Aderant for billing, hospitals run Epic over HL7 and FHIR, and plenty still lean on legacy systems and mainframe feeds that predate the current team. We build against those tools as they are, using their APIs, and where no API exists we use a controlled integration that will not break at the next vendor update.
Compliance is drawn into the first diagram. Financial firms operating in New York answer to the SEC and FINRA and to the New York Department of Financial Services under 23 NYCRR Part 500, and enterprise buyers here expect SOC 2 controls before they sign. Healthcare work needs HIPAA handling and a signed BAA, law firms carry client-confidentiality and attorney advertising rules, and any business holding New Yorkers’ private data falls under the state SHIELD Act. We design data handling around each of these, are explicit about what an automation should never touch, and describe how we respect the rules without promising a regulatory outcome.
We are engineers first, and we build for the regulated, integration-heavy reality New York firms actually work in.
Every system ties back to a number you track and holds up when live volume, an auditor, or a regulator’s examiner starts asking questions.
We build around your goals and your numbers, not around whatever is trending in AI this month.
Real systems you can deploy across departments, not demos that fall apart the first time real data hits them.
Every system is tied to an outcome, so you can see exactly what your investment is returning.
From strategy to build to optimization, we own the whole thing so you do not have to project-manage it.
Our marketing operations are automated end to end. We brief the outcome and the workflow handles the rest.
They built the automation around how we actually work rather than making us change to fit a tool.
They automated the process work that was quietly eating our week. It runs now without anyone thinking about it, which is the only real test.
Book a discovery call and we will find where AI can save you the most time and money, then show you exactly what we would build for your New York business.
Book a Discovery Call