AI consulting in New York, NY

New York's financial firms answer an enormous number of questions in writing. Asset managers fill out due diligence questionnaires and RFPs from consultants and allocators, often repeating answers already approved last quarter. Wealth firms and banks review onboarding and KYC files. Analysts and advisers read research, filings and meeting notes before every client conversation. Claude does this kind of work well: drafting a DDQ response from an approved answer library, summarizing an onboarding file and listing what's missing, or producing a one-page brief from CRM history. A person checks each output before it leaves the building.

The constraint is supervision. With DFS overseeing more than 3,000 institutions and SIFMA counting 956 broker-dealers in the state, most firms here have examiners asking how AI outputs are reviewed and retained. We design for that from the start: AI sees only data the user can already see, prompts and outputs are logged where your policy requires it, and anything client-facing goes through a named reviewer. OpenAI models suit structured extraction and drafting at volume. Agentforce can deflect routine service questions inside Salesforce, and Breeze AI helps smaller HubSpot teams with content and record summaries.

We start with an AI readiness assessment covering data quality, access controls and supervision and retention requirements. Then we pilot one internal use, usually DDQ drafts or meeting briefs, for a few weeks before anything reaches clients. A senior team delivers it remotely from Dallas, and a named person reviews every client-facing output.