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Natural-language analytics with anomaly detection and explainable insight.
Ask what changed. See why. · Sample workspace included
Conversion
12.4%
Pipeline
$842k
Acquisition cost
$41
Qualified leads
1,284
Conversion rose after the enterprise segment changed
The finding links to the affected cohort and six supporting queries.
up 2.1 points this month
including retries
linked to source data
Each feature is represented with real states and an integration seam that can be replaced without redesigning the UI.
Translate a business question into a visible query and explain the assumptions.
Separate expected movement from anomalies that deserve investigation.
Link each written insight to the metric, segment and time window that supports it.
Create a monitored workflow from a finding without rebuilding its context.
The same four-stage narrative appears in the product timeline, logs and analytics.
Define the metric and decision the answer should support.
Show the generated logic and the sources used.
Surface drivers, comparisons and uncertainty.
Save the analysis and alert on material change.
“The explanation links back to the numbers, so the conversation starts with evidence instead of trust.”
Start with this workflow and tailor it to your team, tools and operating model.
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