# AI consulting and development in New York, NY > New York runs on finance, from the banks and insurers answering to the state's Department of Financial Services to the fintechs that sell to them, with media, advertising and real estate close behind. Whatever you're building here, someone will eventually ask your system to explain what it did, whether that's an examiner, a client's auditor or a tenant's lawyer. Canonical: https://www.techfabric.com/ai-development-new-york Serving: New York, Brooklyn, Queens, Jersey City, Newark, Stamford, Long Island Headquarters: 1530 E Williams Field Rd, Ste 201, Gilbert, AZ 85295. No office in New York. --- ## Why New York work is our work Your AI pilot is stuck short of production because nobody can show an examiner what it did with a customer's money. The senior engineers who scope the work build it, with agents that pause for a person where it matters, keep state through a deploy, cite their source and get scored on every change. In New York that's a bank or insurer answering to the Department of Financial Services, or a media company. ## AI consulting in New York AI consulting in New York starts with the question a Department of Financial Services examiner will ask, about which decisions the system touches, who approved them and what record survives. We map those first, then pick the two or three use cases where a bank, an insurer or a Midtown media company gets a measurable return without a model making a call nobody can explain. [AI consulting in Phoenix](https://www.techfabric.com/ai-consulting-phoenix) ## Work a buyer here would recognise The LOSExpress rebuild for SWBC, a lending platform for credit unions, covered the user experience, the design system and the front-end architecture. Orders processed doubled and loan officers spent half the time on each order, which is what a lender or servicer wants to see before replacing a system its staff use all day. ## The examiner arrives eventually By 15 April each year, a bank or insurer regulated by New York's Department of Financial Services files either a certification of compliance with Part 500, its cybersecurity rule, or an acknowledgment of where it fell short, signed by its top executive and CISO. Section 500.6 asks for records that can reconstruct material financial transactions, and a public company answers to SOX as well. Both ask a system the same question: who changed what, when, and on whose authority. ## Questions ### Can you satisfy a NYDFS Part 500 review? We build the evidence the review asks for as a property of the platform rather than as a reporting exercise. Every domain change passes one pipeline, the event that explains it is written in the same transaction, and the trail reconstructs rather than approximates. What we do not do is certify you: your auditor does that, and our job is to make the answer easy to produce. ### Do you have an office in New York? The office is in Gilbert, Arizona, with teams in Amsterdam, Dnipro and Hyderabad. Delivery is remote or hybrid, and we travel for discovery, workshops and the opening weeks of a build. ## What ai consulting and development covers ### Agents that hold state A task that runs for three days, calls six systems and waits twice on a person cannot live in a request handler. We build agents on a durable runtime, so a deploy in the middle of a run does not lose the run, and a retry does not send the same email twice. ### Retrieval that cites what it used An answer nobody can trace is an answer nobody can defend. Retrieval is built so every response carries the documents behind it. ### Evaluation, before and after Without a score, every prompt change is a matter of opinion. We put deterministic scorers and model-based judges in front of the thing so a change ships with a number attached rather than with a feeling. ### Human approval where it belongs Some actions should stop and wait for a person. That gate is part of the system rather than a policy document, so an agent that wants to issue a refund pauses, the approval is recorded, and the run picks up where it left off. ### Cost you can see Model spend, retrieval infrastructure and the review time a system still needs are the numbers that decide whether it stays live after the first quarter. They get instrumented at build time, not discovered on an invoice. ### Governed data access An agent reads through the same grants a person would. On Databricks that is Unity Catalog, so a model that tries to reach a table it has no grant for fails the way any principal fails, rather than because the prompt asked it nicely. ## Working with us from Arizona Arizona does not observe daylight saving, so we are two hours behind you from November to March and three hours behind from March to November. That leaves most of your afternoon overlapping our morning, which is usually enough. Most delivery is remote or hybrid. We travel for discovery, workshops and the opening weeks of a build.