Automate the data workflow, starting with the work people already review

Automation is planned around the data workflow: find sources, understand them, map them, transform them, move them, check them, and report the result. Each assistant would have a narrow job. None of those assistants are connected on this website.

Discovery means listing source systems, schemas, and files that belong in scope. A future assistant could draft that inventory from metadata. A person would still confirm what is in the migration.

Profiling measures shape and quality: types, nulls, duplicates, cardinality, patterns, and volume. The profiling page shows a labeled sample dashboard so the report format is visible before a live run.

Mapping proposes how source columns land in the target model. Recommendations would be reviewable suggestions, not silent changes to a schema.

Transformation notes cover type changes, code lookups, and splits or merges that a target platform requires. They stay attached to the mapping so engineers can accept or reject them.

Quality analysis summarizes the profiling findings that threaten a load: empty keys, conflicting codes, and fields that do not fit the target type.

Validation remains a comparison of evidence: counts, keys, and business totals. An assistant could draft the check list. Sign-off stays with the data owners.

Reporting would explain what was discovered, mapped, loaded, and still open. This site does not generate those reports from a model.

The design allows task-specific agents for discovery, mapping, validation, and reporting. They would sit behind the AI service port. That port is present in the codebase and has no provider configured.

Useful places to start are a migration assessment, a profiling review before cutover, and a legacy file conversion where layouts are poorly documented.

A future call would travel from the application API to an AI service layer, then to a provider, then through a response check before anything is stored. The website interface does not talk to a vendor SDK.