AI consulting in New Haven, CT

New Haven's two largest employers are a research university and a hospital system, and the work around them runs on documents: grant applications, research summaries, referral letters, policy manuals, member correspondence. Claude handles long documents well, which makes it useful for summarizing a stack of prior publications for a grant writer, condensing a referral packet for an intake coordinator or drafting a first response to a member letter. In each case the output is a draft. A person with the right expertise checks it before anything goes out.

Life-science spinouts have their own uses: literature summaries for business development, first drafts of investor updates and structured notes from customer calls. OpenAI models fit teams building AI features into their own products. Agentforce suits service teams at health organizations and insurers that answer the same benefit, billing or scheduling questions all day, once the knowledge articles behind it are accurate. Breeze helps small HubSpot teams draft content. The constraints here are real. Student records and patient data each have legal protections, research data may carry sponsor restrictions, and AI should read only what the user is already allowed to see. We start by mapping where that data lives and fixing permissions, then pilot one internal use before anything faces the public.

We open with an AI readiness assessment covering data quality, permissions and where protected data sits, then build one pilot with a named reviewer. Senior consultants do the work remotely from Dallas, and customer-facing output always passes through a person first.