A datanto pilot is designed to replace a fragile operational process with a stable, working system. It is not a conceptual exercise and it is not a generic proof of concept. The pilot uses real data, real workflows, and produces outputs that teams can rely on during their regular operating cycle.
Most pilots begin with a recurring operational task that already exists today. In many organizations this is a weekly or monthly report built from spreadsheets and system exports. The pilot does not require changing upstream tools or redefining how teams work. It starts from the inputs that are already being produced and focuses on making them consistent, structured, and repeatable.
Early in the pilot, we build an operational foundation. This foundation defines the entities that matter to the business, how time is represented, how metrics are calculated, and how responsibility and scope are enforced. These elements are made explicit and remain visible throughout the pilot. Nothing is embedded inside dashboards or hidden transformations. The foundation is created once and reused across all reports and views.
Once the foundation is in place, recurring inputs are ingested deterministically. Files that arrive every week are recognized and aligned against the same structure each time. When formats change or new elements appear, the system surfaces these differences instead of adapting silently. This allows teams to address changes deliberately, without breaking downstream reporting.
From this shared foundation, datanto generates the outputs teams already depend on. The first result is often a report that previously required manual assembly, such as a weekly P&L. During the pilot, this report updates automatically as new data arrives. It can be consumed directly in the platform or exported for distribution. The structure of the report remains stable week over week, while access is scoped by role and responsibility.
A key aspect of the pilot is that the same underlying system serves different users without duplicating logic. Executives see consolidated views. Managers see only the locations or units they are responsible for. Analysts can explore specific periods or categories. The definitions do not change across roles; only the perspective does.
As the pilot progresses, additional analyses can be layered on top of the same foundation. Item-level profitability, comparisons across locations, or exploratory questions can be introduced without creating new pipelines or reports. These extensions reuse the same entities, metrics, and time definitions that were established at the start.
Throughout the pilot, the system remains transparent and evolvable. Teams can see how data is structured, how definitions are applied, and how changes propagate. The intent is not to remove human judgment, but to ensure that judgment operates on a stable and shared representation of the business.
A datanto pilot is free of charge and run in close collaboration. Given its beta nature, the focus is on correctness, stability, and learning rather than breadth of features. If the pilot delivers value and the system proves reliable in day-to-day use, the next step is to transition into a commercial engagement, starting from the same foundation built during the pilot.
The purpose of the pilot is simple: to demonstrate that operational reporting can be treated as a system, not a repeated construction effort. Once that foundation exists, additional capabilities become extensions rather than new projects.