Most organizations have more data than they can use. The bottleneck isn’t storage or compute — it’s access. Between the question in your head and the answer in your database sits a wall of technical complexity:

• SQL expertise required — Even simple questions require knowing the schema, joins, and syntax
• Tool fragmentation — Different data lives in different tools with different interfaces
• Context switching — Moving between chat, notebooks, dashboards, and documentation
• Tribal knowledge — Only certain people know where data lives and how to query it

Chat Studio removes these barriers by providing a single conversational interface that connects to all your data sources.

When you ask a question, Chat Studio:

1. Understands intent — Natural language processing determines what you’re actually asking
2. Identifies data sources — Knows which databases, documents, or APIs contain the relevant information
3. Generates queries — Writes the SQL, API calls, or search queries needed
4. Executes safely — Runs queries with appropriate permissions and rate limits
5. Presents results — Returns answers as text, tables, or visualizations

The key difference from generic AI chatbots: Chat Studio connects to YOUR data, with YOUR permissions, inside YOUR security perimeter.

Chat Studio doesn’t hide what it’s doing. When you ask a question, you can see the SQL it generates. This matters for several reasons:

• Trust but verify — Review the query before trusting the results
• Learning — Business users start understanding their data model
• Debugging — When results look wrong, you can see exactly what was asked
• Handoff — Take the generated SQL and use it elsewhere if needed

The AI writes SQL so you don’t have to — but you can always see what it wrote.

Chat Studio works hand-in-hand with AI Lab. Here’s the workflow:

1. Data scientists curate in Lab — Connect data sources, define schemas, set up permissions
2. Register for Chat — Expose curated datasets to Chat Studio with one click
3. Business users chat — Non-technical users ask questions in plain English
4. Governance applies — Same permissions, same audit trails, same policies

This separation means data scientists set up the plumbing once. Business users across the organization get self-service access without each needing database credentials or SQL knowledge.

Chat Studio is built for enterprise environments where data security is non-negotiable:

• Role-based access control — Users only see data they’re authorized to access
• Query auditing — Every question and answer is logged for compliance
• Data residency — Deploy on-premise or in your cloud; data never leaves your perimeter
• PII detection — Content scanning catches sensitive data before it’s exposed
• Policy enforcement — Zentinelle policies control what can be asked and answered