AI consulting in Detroit, MI

Detroit's industries generate documents with real consequences. A mortgage file carries disclosures, conditions and income documents that a processor has to reconcile. An auto supplier deals with quotes, engineering change requests, quality reports and customer requirements that run to hundreds of pages. A provider with its own health plan, like Henry Ford Health with HAP, handles member letters, authorizations and benefit questions in volume. Claude is good at reading that material and producing a summary, a list of open conditions or a draft response. A processor, engineer or service rep checks the result before it goes anywhere.

Where AI talks to customers, we move more slowly. Agentforce can answer first-line questions from borrowers, members or dealer partners inside Salesforce, but only from approved knowledge articles and only within the user's permissions. HubSpot's Breeze AI suits smaller professional firms that want help drafting content and summarizing client records. OpenAI models are useful for structured extraction, such as pulling key terms from customer purchase orders. In each case we start with an AI readiness assessment, because AI working from duplicate or outdated records just produces confident errors faster.

We start with an AI readiness assessment covering data quality, permissions and which outputs need review, then pilot one internal use case for a few weeks. Customer-facing agents come after that pilot proves accurate. A senior team runs the work remotely from Dallas, and each AI output has a named reviewer.