AI built where
the work is.

Data first. The model comes last.

Most AI projects in Metro Detroit fail the same way: a chat window pointed at four spreadsheets that disagree. The answers sound right and are wrong. Dirty data turns an assistant into a liability.

So the order never changes. Unify the data. Model it. Put deterministic validation gates on every step. Only then add the model. Read what replacing four spreadsheets took.

Detroit-engineered agent workflows

• Data foundation: one source of truth from the sheets, exports and inboxes you run on today.
• Telemetry: every answer logged, checked and traceable back to its source.
• Python you own: plain code and SQL, no prompt that changes under you. See twelve tools, one Python pipeline.

Stop pointing RAG at broken spreadsheets

Let's rebuild your data foundation first, so your AI answers from something true. Also: AI in Michigan · AI in Oakland County.