Track feature adoption without waiting on BI.
Ask which cohorts adopted a feature, how retention changed after rollout, or whether activation improved in a target market using natural language SQL.
Use Cases
Give every role a faster path to the truth.
From campaign quality to collections, warehouse delays, churn risk, and board-level KPIs, Zoqi works as an AI analytics copilot for the teams closest to the work.
Measure campaign quality beyond vanity metrics.
Compare channel performance, qualified lead quality, acquisition cost, and conversion paths with an AI business intelligence assistant.
Compare forecasts, collections, and revenue movement.
Ask about projected revenue, actual collections, cash runway, and variance by customer segment without rebuilding spreadsheets.
Find delays, exceptions, and process bottlenecks.
Surface warehouse delays, fulfillment gaps, SLA breaches, and operational trends across databases and business documentation.
Identify churn risk and expansion signals earlier.
Combine usage, support, renewal, and account health data to find customers that need attention before risk becomes visible.
Understand ticket patterns and customer friction.
Explore issue categories, escalation patterns, response times, and product areas that create repeated customer pain.
Spot high-value leads and account health in real time.
Pull accounts with expansion signals, stalled usage, or high intent events before the opportunity goes cold.
Receive a daily KPI briefing without opening dashboards.
Deliver revenue, retention, burn, and forecast snapshots to Slack or email every morning in a format leadership can act on instantly.
Answer data questions without becoming the reporting queue.
Give teams governed access to verified SQL while engineers keep visibility into schema usage, query logic, and read-only controls.
Ask company questions without stitching tools together.
Review growth, retention, revenue, support load, and operating metrics from one conversational analytics platform.
Scale trusted self-service analytics.
Publish semantic definitions, review generated SQL, and turn Zoqi into a governed database AI assistant for every department.
What teams ask
Real questions, answered in business language.
"Which onboarding step dropped the most users in Kerala after the release?"
"Which campaigns generated the highest quality leads last quarter?"
"Compare projected revenue against actual collections."
"Which warehouses have delayed deliveries?"
"Which customers are at highest churn risk?"
"Which ticket categories are increasing after the latest release?"
"Show enterprise leads with expanding seats and declining weekly usage."
"Send me a morning summary of MRR, churn risk, cash runway, and wins."
"Which generated SQL queries use deprecated tables or ambiguous metrics?"