What we learned building AI agents for clients (and ourselves)
From internal experiments to client-facing data products Eighteen months ago, we started building AI agents internally. Not as a product play - as a way to stop doing repetitive work. Documentation, QA checklists, data validation. The kind of tasks that every analytics consultancy does hundreds of times a year and nobody enjoys. That experiment became our first internal AI assistant. And what we learned building it changed how we think about data products for clients. Here's what we know now
Mark Rochefort-
