New York · Applied AI

AI strategy in New York

AI roadmap + plan, built for businesses operating in New York.

Book a demo →

What AI strategy actually does

A clear-eyed AI roadmap built for your business – not a generic deck. We sit with your team, map the high-value plays, and write the build order. You leave with a plan you could actually start tomorrow.

Most of our New York engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. AI strategy is then designed against the detail, not the shape.

Built on: Claude Notion Miro Linear

Why New York businesses choose this

New York runs on finance, law, media and a professional services machine that bills by the hour – AI here earns its place by giving that time back, not by being impressive in a demo.

Where New York operators actually lose hours.

Wall Street firms, Big Law, and a media and advertising industry that never fully stops, all sitting on top of the highest labour costs in the country. New York teams want AI that survives contact with a real client deadline.

We work with teams across New York: Manhattan · Brooklyn · Queens · Midtown · Financial District · Long Island City.

How we build AI strategy for a New York team

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your New York business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.

AI roadmap + plan.

The outcome for New York teams

The shape of the result for New York teams: Most plans pay for themselves in the first build. Built on Claude, hardened with the rest of the stack as it scales.

Most plans pay for themselves in the first build.

AI strategy in New York – common questions

What's a typical engagement length for New York businesses?

Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.

Are there hidden costs we should plan for?

Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.

Anyone else in this space using AI strategy?

Plenty. Most plans pay for themselves in the first build. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the call.

Can you work with our existing systems?

Yes. The default AI strategy stack we reach for is Claude, Notion, Miro, Linear, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.

Skip the pitch.

Tell us the workflow and we'll come back with what we'd build first.

Talk to Kiwi Dynamics →

Get in touch

Talk to us about this

Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.