Use cases
SemanticOps across Power BI workflows
SemanticOps addresses different problems depending on where you are in the Power BI development lifecycle. Choose the use case that matches your current challenge.
Agentic Power BI development
Give AI agents governed, policy-checked, auditable, and reversible access to semantic models.
Developers · Platform teams · AI adopters
Learn moreRegression testing
Validate measures, table outputs, RLS, and OLS before semantic model changes reach production.
Developers · Consultants · BI teams
Learn moreSemantic model refactoring
Clean up legacy models using impact analysis, tests, rollback, and AI-assisted cleanup.
Developers · Consultants · Architects
Learn moreChange management
Connect snapshots, rollback, policy, tests, and audit logging into a governed change workflow.
BI managers · Enterprise teams
Learn moreAI-readiness assessment
Review testing, rollback, policy, masking, documentation, and security before enabling AI workflows.
Consultants · Enterprises · BI managers
Learn moreSecurity validation
Test RLS and OLS behavior after model changes and AI-assisted edits.
Security · Enterprise BI · Consultants
Learn moreModel documentation
Export model structure into human-readable documentation for handovers, governance, and AI context.
Consultants · BI teams · Governance
Learn moreNot sure where to start?
Install SemanticOps and use the docs to explore which capabilities match your current workflow. Free to start, no credit card required.