Short answer
AI consulting in New York for finance and real estate teams usually covers three kinds of work. Consultants help draft recurring documents like memos, board packs, and investor updates. They connect AI tools to the firm's own data, and they train the team to use tools like ChatGPT and Claude. Lattice Partners is an AI implementation partner based in Los Angeles and New York. We help companies build an AI strategy, train their employees on AI tools, and build custom agents and software.
- Start with one recurring deliverable, such as the quarterly update or the board pack, and the data it needs.
- New York City's Local Law 144 applies if you use AI in hiring or promotion decisions. Most finance AI projects don't.
- Real estate teams can use many of the same tools on leases, rent rolls, and maintenance requests.
Why do finance teams in New York hire AI consultants?
Finance teams hire AI consultants to cut the time spent on recurring documents and data pulls. Analysts spend hours moving numbers from several systems into one draft, and AI can do the first pass.
The area has a large finance workforce. The U.S. Bureau of Labor Statistics reports 629.8 thousand financial activities jobs in the New York area in September 2026 (preliminary), about 9.9% of all nonfarm jobs. BLS counts finance, insurance, and real estate in that group.
What AI projects do finance teams in New York start with?
Finance teams usually start with the document or process they repeat most often. The table lists the common first projects and where to read more.
| Project | What the AI does | Guide |
|---|---|---|
| Investment memos and research reports | Drafts from deal files and data, and a person edits | AI tools for investment memos and board materials |
| Portfolio KPI updates and board packs | Pulls metrics from portfolio data into a draft | AI for KPI updates, board packs, and LP prep |
| Deal screening | Classifies companies against a mandate by fixed rules | Deterministic deal screening |
| Connecting AI to firm data | Links ChatGPT or Claude to your CRM and data sources through MCP (Model Context Protocol) | MCP for private equity finance teams |
| Team training | Teaches analysts and operating teams to use AI tools on their own work | AI training for portfolio company teams |
The hub post, AI for private equity firms, shows where each project fits across the deal lifecycle. The finance page summarizes what we build.
How should a firm handle confidentiality and data access?
Decide which files and systems the AI can read before you pick a tool. A task like drafting a quarterly letter needs the portfolio data for that letter, not the whole shared drive.
Read the data terms of any AI tool before confidential deal or investor information goes into it. Keep a person approving anything that leaves the firm. Scoping access first also makes the project faster to review with compliance.
Do New York rules affect AI projects?
One New York City rule matters if you use AI in hiring. Local Law 144 says employers and employment agencies can't use an automated employment decision tool without a bias audit done within one year before use. The summary of results must be public, and employers must give notices to candidates or employees. The city's Department of Consumer and Worker Protection began enforcing the law on July 5, 2023.
The rule covers tools used for employment decisions. Most finance AI projects, like memos, reporting, and screening companies, aren't employment decisions. If you plan to use AI to screen candidates, talk to your counsel first.
Can AI help real estate teams too?
Yes. Real estate teams repeat many of the same tasks as finance teams, and the tools are similar. We can build tools that answer questions across leases and rent rolls, sort tenant and maintenance requests, draft owner reports, and read vendor invoices.
As with finance, start with the task your team repeats most and the data it needs. A person approves anything that goes to an owner or a tenant.
How do you choose an AI consulting firm in New York?
Choose by what the firm has shipped, who writes the code, whether it trains your team, and who owns the result. Our guide to how to choose an AI consulting firm lists ten questions to ask.
For the full picture of what mid-market companies hire for in both cities, see AI consulting in Los Angeles and New York.
"A finance team's AI project goes well when it starts from one recurring deliverable, like the quarterly update or the board pack, and gets the data connections right."
Colin McDonnell, Co-Founder and Managing Partner, Lattice Partners
How Lattice Partners does this
Lattice Partners is based in Los Angeles and New York and builds AI tools for finance teams. We start with one recurring deliverable and write down how your team produces it today. Then we connect the tool to the data it needs, and a person reviews every draft.
We also run training sessions so your team can use ChatGPT and Claude on their own work. Custom software is a one-time build. You own the code, with no recurring license fee from us.
Frequently asked questions
What does AI consulting in New York cover for finance teams?
It covers drafting recurring documents, connecting AI tools to your data, screening companies against a mandate, and training your team. Most firms start with one recurring deliverable and expand from there.
Do New York AI rules apply to finance firms?
New York City's Local Law 144 applies to automated tools used for employment decisions, such as screening job candidates. It requires a bias audit within a year before use, a public summary, and notices. Memos, reporting, and deal screening aren't employment decisions.
How much does AI consulting cost in New York?
Typical market ranges are $500 to $3,000 per training session and $5,000 to $100,000 per custom project. Ongoing support runs $200 to $700 per hour. Lattice Partners scopes each project after learning how your team works.
Can AI work with confidential deal and investor data?
Yes, if the tool's data terms allow it and access is limited to what the task needs. Read the terms before you start, and keep a person approving anything that goes outside the firm.
Do you work in person in New York?
Lattice Partners is based in New York, and in-person time helps most during discovery and training. Building the software doesn't require being in the same room.
Related reading
About Lattice Partners
Lattice Partners is an AI implementation partner based in Los Angeles and New York. We help companies build an AI strategy, train their employees on AI tools like ChatGPT and Claude, and build custom AI agents and software. Clients own the code we build. Lattice Partners was founded by Colin McDonnell, Martin Anquetil, and Christian Yeghnazar. Contact us to talk about your use case.