Snowflake AI Accelerator
Automate the Leap from Legacy BI to the Modern Stack.
Legacy inventory scanner
Parses the metadata, Cognos and Business Objects repositories, and stored procs into a structured catalog of reports, metrics, filters and lineage - in hours, not weeks.
SQL and semantic translator
LLM agents rewrite legacy SQL and metric definitions into Snowflake-native models with dbt scaffolding, preserving business logic and naming conventions.
Cell-by-cell reconciliation
Automated A/B execution against legacy runtimes. Every row, every metric, every slice - diffed and signed off before cutover. No "trust me" migrations.
Power BI hand-off kit
Semantic model, RLS, workspace structure and deployment pipelines - generated to match the source reporting surface so end users barely notice the switch.
Power BI semantic model generator, phase 2
RLS translation from legacy security groups, workspace deployment pipelines, and golden-dataset snapshots. AI-Accelerated Snowflake and BI Migration for a Global Alternative Asset Manager.
Cell-by-cell validator GA
Automated diff runner compares the metadata and the Snowflake outputs row-by-row with tolerance bands. Replaces the previous sampling-based QA.
Metadata parser - complete
Full coverage of reports, documents, metrics, filters, and prompts. Output lands as normalized JSON ready for the translator stage.
