Ask one question. Get a trusted answer and the SQL behind it.
Use an AI analytics agent to ask questions, generate verified SQL, and get trusted product and growth insights without waiting on a reporting queue.
Teams using AI analytics agents on first-party data
Where teams use an AI analytics agent
From product diagnostics to campaign optimization.
Product teams
Diagnose funnel drop-offs, cohort behavior, and activation friction without waiting for ad-hoc queries.
Marketing teams
Connect spend and campaign actions to product outcomes with transparent metric definitions.
Data teams
Maintain governance while enabling self-serve exploration through controlled semantic definitions.
Why teams switch from static dashboards
Dashboards answer known questions. Agents help uncover unknowns.
Static dashboard limitation
Predefined views often miss edge cases, segment-level nuance, and follow-up questions that drive decisions.
Agentic advantage
Teams can ask follow-up questions iteratively, verify SQL, and move from question to action in one flow.
AI analytics agent FAQs
What buyers ask before rolling out AI analytics at scale.
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