Natural language in. Reliable SQL-backed insight out.
Mitzu is an AI agent for data analytics that helps teams ask natural-language questions and get transparent, warehouse-native answers backed by verified SQL.
When to use an AI agent for analytics
High-impact use cases where automation improves both speed and quality.
Use it when
Your teams ask repeated KPI questions, need faster experimentation loops, and want less dependency on one analytics bottleneck.
Do not rely on it alone when
You are still defining event taxonomy, semantic standards, or governance rules that require foundational data-team ownership.
How Mitzu works
A practical process for governed AI analytics.
Model core entities
Align metrics and dimensions to your warehouse schema so answers are grounded in business logic.
Ask questions in plain English
Product, marketing, and revenue teams explore data directly with no SQL required.
Review SQL and iterate
Validate generated SQL, refine questions, and move from insight to action quickly.
AI agent for data analytics: buyer FAQs
Key questions teams ask before rollout.
Try Mitzu free with your own warehouse data
Replace report queues with transparent AI-assisted analytics.