AI Insights v1 Bringing Your Data to Life with SQL & Power BI
AI Insights v1 is the first production release of our AI-native analytics platform,
and it ships with a clear focus: help teams answer business questions from their data faster, without
waiting on SQL tickets, dashboard backlogs, or ad-hoc report requests. This release centers on two
high-impact integrations that most organizations already rely on every day —
SQL Online Service and Power BI Semantic Models. The goal is simple:
meet teams where their data already lives and turn natural-language questions into trustworthy answers.
Why v1 Starts with SQL and Power BI
Most organizations already store critical business data in SQL databases and curate well-defined metrics inside Power BI semantic models. Rather than asking teams to migrate or re-model anything, AI Insights connects directly to the systems they already trust. With SQL Online Service, users can explore table-based data in plain English. With Power BI Semantic Models, questions are answered against established business definitions and measures, preserving the governed semantics your finance and analytics teams have invested years building. The result is dramatically less setup overhead and a faster time-to-value than traditional BI rollouts.
What You Can Do Right Now
Once a datasource is connected, every user in your workspace can immediately start a conversation with their data and pin the results to a dashboard. Typical activities in v1 include:
- Ask natural-language questions about performance, trends, and outliers
- Receive instant AI-generated answers paired with the most appropriate chart
- Add chart and KPI results directly to shared dashboards with one click
- Share read-only report views with stakeholders through tokenized links
Example questions teams are already asking on day one:
- “What were our top 10 customers by revenue last quarter?”
- “Compare this month’s conversion rate to the previous three months.”
- “Which product categories are growing fastest year-over-year?”
- “Show me churn risk by region.”
- “What changed most in support-ticket volume this week?”
Built for Business Users, Not Just Technical Teams
The classic analytics cycle is painful: business asks a question, the data team writes SQL or updates a BI report, stakeholders wait, and follow-up questions restart the loop. AI Insights v1 breaks that cycle. Business users self-serve routine questions, data teams shift time from repetitive ad-hoc requests to strategic data modeling and quality work, and the entire organization gets faster alignment because insights are easy to access and share.
Dashboard and Report Experience
We invested heavily in making report building smoother and more flexible in v1: easy chart and table composition, multi-page dashboard and report layouts, organization-wide theme controls, shareable read-only views, and link/navigation widgets for guided storytelling. The shift from one-off questions to reusable, branded reporting experiences is now a single workflow.
Security and Trust
When it comes to analytics, trust matters as much as speed. AI Insights is built on a modern, enterprise-ready stack with governance in mind: data access is controlled per-tenant, every AI response includes a Reasoning Panel exposing the generated SQL and column mappings, and usage patterns are transparently surfaced so administrators can scale adoption with confidence.
What’s Next
Over the next month, we’re expanding well beyond the first two sources and targeting 19 additional connectors. Planned additions include MySQL, PostgreSQL, MongoDB, Snowflake, BigQuery, Redshift, Oracle, Salesforce, Google Analytics, HubSpot, Excel/CSV upload, REST APIs, and more. The roadmap also covers deeper team collaboration, scheduled reporting workflows, and richer embedded analytics scenarios.
FAQ
Do I need to re-model my Power BI dataset to use AI Insights v1?
No. v1 connects directly to existing Power BI Semantic Models and respects the measures, hierarchies, and security roles you have already published.
Can SQL Online Service users see only the tables they’re allowed to query?
Yes. AI Insights respects the underlying database’s permissions and additionally lets administrators scope each AI agent to a specific schema or list of allowed tables.
How quickly can I get my team onboarded?
Most teams connect their first datasource and pin their first dashboard tile within fifteen minutes of signing in. No SQL knowledge is required for end users.
Conclusion
v1 is an important milestone, but it’s only the beginning. We’re shipping quickly, listening closely to feedback, and improving with every release. If you’re already using AI Insights, thank you — your feedback is shaping what comes next. If you’re evaluating us now, this release is your invitation to see what conversational analytics looks like when it’s grounded in your real data stack.