AI Studio
Ask questions in English, get production-ready SQL. AI that understands your metrics, respects your policies, and explains its work—powered by your semantic layer.
Type questions in plain English—AI generates validated, policy-compliant SQL instantly
Natural language to SQL, instantly
Type questions in plain English. AI generates validated SQL, clarifies ambiguities, and uses your semantic layer definitions—no prompt engineering needed.
Conversational Interface
Ask follow-up questions, refine results, and explore data—AI remembers the context of your conversation.
Clarifies Ambiguities
When your question is unclear, AI asks which table or metric you mean—no guessing, no wrong results.
Semantic Layer Integration
AI uses your organization's canonical metric definitions. 'Revenue' means the same thing across every query.
Multi-Step Reasoning
Ask complex questions like 'Find the top sales rep in our best region.' AI breaks it into steps and executes each one.
Model Selection
Choose your AI model: GPT-4 for accuracy, GPT-3.5 for speed, Claude for reasoning. Switch anytime.
Transparent SQL
See the generated SQL, edit if needed, and understand exactly what the AI is running. No black box.
Safe by design
Guardrails enforce data governance policies automatically—AI respects access controls, cost limits, and audit requirements without manual oversight.
Access Control Enforcement
AI respects your ACL policies. If a user can't access PII, the AI won't generate queries that touch those columns. No manual checks needed.
Query Cost Limits
Set cost thresholds per query. AI won't run a $10K query without explicit approval. Prevents runaway costs from exploratory analytics.
Read-Only by Default
AI generates SELECT queries only. No INSERT, UPDATE, or DELETE unless explicitly allowed. Your data stays safe.
Complete Audit Trail
Every AI query is logged with user, timestamp, model used, and results. Meet SOC 2, HIPAA, and GDPR requirements automatically.
Query Blocked
User query: "Show me all customer emails"
🚫 Guardrail Policy Violation
Reason: User does not have access to PII columns
Policy: ACL Policy: marketing_team_readonly
Alternative Suggested
Try this instead:
SELECT region, COUNT(*) as customer_count
FROM customers_table
GROUP BY regionThis query is allowed and shows aggregated data without PII.
Beyond Q&A: AI that takes action
Multi-step agents break complex requests into sub-tasks, trigger workflows, and remember conversation context—not just answer questions.
Multi-Step Workflows
Ask: 'Find the top sales rep in our best region.' AI executes: (1) Find best region by revenue, (2) Find top rep in that region, (3) Generate summary.
Session Memory
AI remembers your conversation. Ask 'What was Q1 revenue?' then 'Now show by region'—no need to repeat context.
Tool Execution
AI can trigger actions: run workflows, update dashboards, send alerts. Not just read-only analytics.
Context Search
AI searches your catalog, glossary, and semantic layer to understand your data schema—no manual context needed.
Feedback Loop
Thumbs up/down on every response. AI learns which queries work best for your org.
Cost Transparency
Track AI spend per query, per user, per team. Set budgets and get alerts before you exceed them.
How teams use AI Studio
Analytics Engineering
Generate SQL from requirements
Stakeholders ask: 'We need monthly active users by product tier.' AI generates the SQL, validates against semantic layer, and creates a reusable query.
Business Analysts
Self-service data exploration
No more waiting for data engineers. Ask AI: 'Which regions saw churn increase last quarter?' Get results in seconds, not days.
Data Science
Quick hypothesis testing
Test ideas fast: 'Are high-engagement users more likely to upgrade?' AI generates cohort analysis SQL, runs it, and shows results.
Common questions
How accurate is the SQL?
AI generates validated SQL that respects your semantic layer definitions. For common queries (filters, aggregations, joins), accuracy is 80%+ based on internal testing. When ambiguous, AI asks for clarification rather than guessing. You can always review and edit the SQL before running.
Can AI modify my data?
No, by default AI only generates SELECT (read-only) queries. INSERT, UPDATE, and DELETE are blocked unless you explicitly grant permissions. Guardrail policies enforce this automatically.
Does AI see sensitive data?
AI sees table schemas and sample data to generate SQL, but respects your ACL policies. If a user can't access PII columns, the AI won't generate queries touching those columns. All AI interactions are logged for audit compliance. Private model hosting (coming Q1 2025) will allow you to run AI entirely in your VPC for maximum data privacy.
Can I use my own AI models?
Currently, Fastero supports OpenAI (GPT-4, GPT-3.5) and Anthropic (Claude) models via API. Private model hosting (self-hosted Llama 3, Mistral, etc.) is coming in Q1 2025, allowing you to deploy models in your own infrastructure for sensitive data use cases.
How much does AI cost per query?
Cost varies by model: GPT-4 (~$0.03/query), GPT-3.5 (~$0.01/query), Claude (~$0.04/query). You can set team budgets and get alerts when approaching limits. Usage tracking shows exactly which users and queries consume the most AI credits.
What happens if AI generates wrong SQL?
You can always review the generated SQL before running. If results look wrong, use thumbs-down feedback—AI learns from this. For mission-critical queries, we recommend having a human review the SQL, especially for complex multi-table joins or calculations.
Ready to ask your data anything?
Start a 30-day trial and see how AI Studio helps your team explore data faster, trust results more, and spend less time writing SQL.