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Engineered With AI

AI Automation

AI Automation for New York Businesses

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.

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Custom-builtProduction-readyMeasurable ROI
Why now

Why New York Businesses Are Moving to AI

New 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.

The real risk

The Cost of Standing Still

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.

What we build

AI Systems Built Around Your Business

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.

Workflow Automation

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.

AI Agents

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.

Sales and Marketing AI

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.

Data and Analytics AI

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.

Custom Integrations

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.

Ongoing Optimization

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.

The payoff

What AI Does for Your Bottom Line

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.

40%
of repetitive work automated
24/7
operations with no overtime
Weeks
to a live system, not months
New York in focus · 1 of 4

A market run by finance, law, media, and real estate

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.

New York in focus · 2 of 4

What New York firms put on autopilot first

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.

New York in focus · 3 of 4

High-volume intake, then the workflow behind it

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.

  • ✓Phone, text, email, web form, and portal feeding a single routing layer
  • ✓Context pulled automatically from your CRM, deal platform, EHR, or DMS
  • ✓Human sign-off kept on legal, financial, clinical, and compliance calls
New York in focus · 4 of 4

Integration and compliance realities we plan around

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.

Why Engineered With AI

Why Businesses Choose Engineered With AI

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.

Engineers who get business

We build around your goals and your numbers, not around whatever is trending in AI this month.

Production-ready systems

Real systems you can deploy across departments, not demos that fall apart the first time real data hits them.

Built to measure

Every system is tied to an outcome, so you can see exactly what your investment is returning.

End-to-end delivery

From strategy to build to optimization, we own the whole thing so you do not have to project-manage it.

What our clients say

Our marketing operations are automated end to end. We brief the outcome and the workflow handles the rest.
MikaelaPresseoWeb design and SEO
They built the automation around how we actually work rather than making us change to fit a tool.
OusmanHiring FromOffshore staffing
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.
LaraibMedia @ MarsonsMarketing and technology
Common questions

AI Automation in New York: Your Questions Answered

What does AI automation cost for a New York business?
We price around the outcome rather than billable hours. A single-workflow build is a fixed-price project starting from $3,000, and running a live system for you, monitoring and tuning it, starts from $2,500 a month. Broader cross-department programs are quoted as custom. On a discovery call we attach those numbers to one concrete workflow, say investor onboarding or matter intake, so nothing catches you off guard.
Do you work with New York finance and fintech firms?
Yes, and it is one of our strongest fits. Banks, hedge funds, and asset managers downtown and fintechs in Flatiron bring us investor onboarding and KYC checks, trade and expense reconciliation, and portfolio reporting. We build against Salesforce and your order-management and reporting systems, keep the tone aligned with SEC and FINRA expectations and DFS Part 500, and keep human sign-off on anything carrying real financial risk.
How does this work for New York law firms?
For firms across Midtown we usually start with client and matter intake, conflict checks, document review and discovery triage, and the billing and status updates that eat associate evenings. We integrate with iManage or NetDocuments and your billing platform, respect client confidentiality and attorney advertising rules, and keep a lawyer’s sign-off on anything that is legal advice rather than administrative work.
Can you automate work for New York real estate and media firms?
We do a lot of both. Brokerages across the five boroughs automate lead capture and follow-up, listing coordination, and lease and application paperwork, while advertising and media shops off Madison Avenue automate campaign reporting, insertion-order handling, and pre-launch asset routing. We build against the CRM and platforms your team already runs so nothing gets rebuilt from scratch.
How long before a New York system is live?
Most single-workflow builds are live within weeks rather than months. We open with the queue that carries the most upside and the least risk, prove the return there, then extend into the workflows next to it once your team trusts it against real New York volume.
Will it connect to the tools and legacy systems we already run?
Yes. Whether you are on Salesforce and an order-management system on a trading desk, iManage in a Midtown firm, or Epic in a hospital, we build against the APIs you already have. Where a system is older with no clean API, which is common across New York finance, we use a controlled integration so you keep your current stack instead of ripping it out.
How do you handle data security and compliance for regulated New York work?
Security sits in the design from day one rather than getting bolted on afterward. We match data handling to whatever rules your sector answers to: SOC 2 controls and DFS Part 500 for financial services, HIPAA with a signed BAA for healthcare, client-confidentiality obligations for law firms, and the state SHIELD Act for any New Yorker’s private data. For enterprise engagements we back that with the controls and agreements your business requires.
Do we need technical staff to run it?
No. We build for the team you already have and train them at handoff. The point is to take work off your senior people, not add a tool they have to mind, and we stay on afterward to watch throughput and tune what we shipped as your volume climbs.

Ready to Put AI to Work in Your Business?

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