We inventory your entire Alteryx estate — workflows, schedules, data connections, user roles, and dependencies. We classify assets by complexity and business criticality, and document the hidden institutional knowledge embedded in your workflows.

We design your Dataiku environment: compute configuration, project structure, role-based access, data connection patterns, and integration touchpoints. Governance policies, naming conventions, and lifecycle management are established before any migration begins.

Workflows are migrated in prioritized cohorts — starting with simpler, lower-risk assets and progressing to complex analytical pipelines. Each migrated workflow undergoes output validation against the Alteryx baseline. No workflow is decommissioned until results match and users sign off.

Parallel to migration, we run role-specific Dataiku training programs — from visual recipe users to Python/SQL power users. We embed Bronson.AI’s AI Change Strategy framework to ensure adoption, not just installation. Your team finishes the engagement confident and self-sufficient.

We execute the production cutover with a clear rollback plan in place. A structured hypercare period provides immediate support as users transition fully. We conduct a 30-day post-migration review to address edge cases, optimize performance, and document lessons learned for your internal knowledge base.