Intent
AI reads the estate: packages, procedures, reports, pipelines. What each one is for and what depends on it comes out as a graph, not a guess.
One method, three destinations. Databricks: Synapse, SSIS and T-SQL estates become the Lakehouse. Microsoft: SSRS reports become Power BI, and SQL Server, SSIS and Synapse estates become OneLake on Fabric. In every case AI recovers intent, deterministic generators produce editable artifacts, and an engineer approves every consequential decision.
SSRS estates become Power BI projects: the logic inside every RDL recovered, the right target chosen per report, editable PBIP, TMDL and paginated artifacts generated, every report validated against its original.
SQL Server, SSIS, ADF and Synapse estates become OneLake: mirrored where a source stays, rebuilt as Fabric pipelines, Warehouse and Lakehouse items where it moves, Direct Lake models under the same reports.
AI reads the estate: packages, procedures, reports, pipelines. What each one is for and what depends on it comes out as a graph, not a guess.
Each object gets a destination: rebuilt, consolidated, served by a model, or retired. An engineer decides; the reason is recorded.
Deterministic generators produce the artifacts, editable and in Git. Nothing opaque, nothing you cannot change.
Every object is validated against its original: figures, rows, behaviour. The evidence travels with it.
Consumers repointed, the original retired, the runbook handed over. Approved by a person, every time.