Six steps around one artifact. The file card on the right is the same file, start to finish; watch what happens to it as you scroll.
Six steps around one artifact. Each step shows the same file at that moment in the loop.
Raw table dumps from the source system, as-is. No separate pre-cleansing project: cleansing decisions happen inside the review loop, where each one persists as a rule.
The AI proposes the joins and maps every column into the target template, each with a confidence score and a plain-English explanation. Seconds for standard files.
Real parts, vendors, orders, in the new system’s format, column by column, with sample rows. A rejection is a rejection of visible bad data, not a theory.
Every correction persists: transforms, crosswalks, defaults. Mock load three starts where mock load two ended.
Approvals travel with the data via column fingerprints. On a typical re-release, roughly 77% of columns need no re-review.
Release is a human-only, audited gate. Your integration partner sees every release in a dedicated portal the moment it clears review, and pulls each file as your experts sign it off.
And your new ERP’s built-in loader? It consumes finished load files; it doesn’t build them, review them, or remember your fixes. ATOM is how the file gets built and approved. The built-in loader is the last step, and we hand it a file that already cleared your experts.
A typical first cycle. Qualified, like every number we publish.
with validation and health scoring on the first generated file
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