NYC has plenty of AI consultants. Most of them sell slides.

Every project below is live, in production, and either generating revenue or serving real users. This is not a portfolio of concepts.

That is the difference between hiring an AI consultant who has shipped and one who has not. I am not guessing what will work. I already know, because I have built the same patterns before.

Forget the big-picture "AI will change everything" talk. Here is what companies in New York are actually building and deploying today.

Customer service agents. Not the chatbot from 2019 that makes people scream. AI agents that read incoming messages, understand context, pull up account history, and either resolve the issue directly or route it to the right person with a summary. The difference is the agent can actually take actions: issue a refund, update an address, schedule a callback. It does not just talk.

Content and marketing automation. Agencies and in-house teams are using AI agents to research topics, draft posts, repurpose long-form content into social snippets, and schedule across platforms. One agent replaces what used to take a part-time content hire. The quality is not perfect, but it is good enough to publish with a light human edit.

Document and data processing. Law firms processing contracts. Real estate companies extracting data from PDFs. Financial services firms summarizing earnings calls. Any business that spends human hours reading and categorizing documents is a candidate for AI processing. The ROI is usually obvious within the first week.

Internal tools and workflows. The quietest category and often the highest-value one. AI that scores inbound leads before your sales team sees them. AI that monitors competitor pricing and sends daily alerts. AI that takes meeting transcripts and generates action items, then posts them to Slack. Nobody tweets about these. They just save 10+ hours a week and pay for themselves in a month.

You can hire an AI developer anywhere in the world. Remote works fine for execution. But there are things that work better in person, and AI projects have more of those moments than typical software builds.

Whiteboard sessions matter. AI architecture is hard to explain over Zoom. When we are mapping out which parts of your workflow the AI handles, where humans stay in the loop, and how data flows between systems, a whiteboard and a room beat a screen share every time. I can be in your office for those conversations.

Demos land differently in person. When I deliver a working prototype, I want to sit next to you and your team while you use it. I want to see where you hesitate, what confuses you, what makes you say "wait, it can do that?" The feedback from a live demo in the same room is ten times more useful than watching someone share their screen on a call.

Team integration is easier. If you have an engineering team, I can sit in your standups, pair with your developers, and transfer knowledge in a way that actually sticks. Remote handoffs work, but they are slower and more gets lost.

Same city, same network. I know the NYC tech scene. I know the meetups, the investors, the other engineers. If you need a connection or a second opinion, I probably know someone. That is not something you get from hiring overseas.

1. Scoping call (free, 30 minutes). You tell me what you are trying to solve. I will tell you whether AI is the right answer, what it would look like, and what it would cost. If AI is not the move, I will say so. Half the people I talk to do not actually need AI. They need a better database query or a Zapier automation. I would rather lose the project than sell you something that does not fit.

2. Working prototype in 1-2 weeks. Not a design. Not a proposal. A working system connected to your data (or sandboxed copies) that you can test. You will see exactly what the AI does well and where it falls short. This is the moment that matters. Everything before this is guessing.

3. Iterate and harden. We fix edge cases, add error handling and monitoring, test with messy real-world data. The prototype becomes production-grade. This phase is where most "AI consultants" cut corners, and it is the reason most AI projects fail after the demo.

4. Deploy and hand off. You own the code. Full documentation. I stay available for a support window after launch. If you want ongoing iteration, we set up a retainer. If not, you are independent.