The people who know the business can't write SQL
Every operations team eventually hits the same wall: the people who understand the business best aren't the people who can write SQL. Questions like "which zones had the worst on-time rate last month" or "why did complaints spike in one market last week" sat in a queue waiting for an analyst to get to them.
A natural-language analyst on the live warehouse
Agility built a natural-language AI assistant into ATLAS that writes SQL, runs it against the live warehouse, and answers in plain language, with the option to pin resulting charts and KPIs directly to a personal workspace. Alongside it sits a read-only SQL console for analysts who want to write queries directly, with results rendered as tables or charts.
One warehouse, one set of numbers
This sits on top of the same warehouse powering the live map, the DCC, and the prediction layer, so an answer from the AI assistant reflects the same numbers an analyst would get running the query by hand. Reports layer on holiday and seasonality overlays, and every analyst gets a customizable workspace: KPI picker, custom-KPI builder, saved views, and a drag-and-resize board.
Why this matters more than it sounds
The gap between "the data exists" and "someone can act on the data" is where most operations platforms quietly fail. A warehouse nobody can query is just a cost center.
Making the warehouse conversational is what turns ATLAS from a dashboard into something an ops team actually uses every day, and it's the same capability that lets a pharma compliance officer or a field service manager ask their own version of "why did this go wrong" without waiting on an analytics team.