Yes. ClarityQ is built with governance and control in mind, so your data analytics team stays fully in charge.

Here’s how ClarityQ supports governance and QA:

‍SQL transparency - Every response includes the full SQL query, allowing your data team to review, validate and edit every output before it’s shared or acted on.

‍Semantic control via Table, Event and Semantic Catalogs - While ClarityQ automatically generates semantic understanding of your data, nothing goes live until it’s reviewed and approved by your data team - ensuring full control over definitions, logic, and how data is used across the platform.

‍Analyst feedback loop - Analysts can review, edit, and correct outputs at any point, and these adjustments help refine future answers.

‍Access and governance control by the data team - Your data team manages who can ask questions, access data, and approve or update the ClarityQ catalogs. This ensures consistent definitions, secured data access, and governance policies that match your organization’s standards.

ClarityQ gives product and business teams freedom to explore data, while keeping the data team in control of definitions, accuracy, and oversight.