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CubegleData · AI · Cloud
AI · Business Intelligence

AutoInsights: AI-Driven Insight Layer for Dashboards

An AI-assisted insights layer that complements dashboards with anomalies, forecasts, and narrative summaries for stakeholders.

Overview

AutoInsights transforms passive dashboards into proactive intelligence systems by automatically detecting anomalies, highlighting trends, and generating narrative summaries for business stakeholders. It's a pluggable AI layer that connects to curated datasets and dashboards, runs ML and statistical checks, and generates human-friendly insight text — ideal for organisations with mature dashboards who want insight surfaced automatically on a regular cadence.

The challenge

  • Stakeholders missing critical trends hidden in dashboards
  • Analysts spending time writing commentary manually
  • No consistent way of sharing insights across teams

The architecture

  1. 01

    Curated Datasets

    Existing semantic models and dashboards

  2. 02

    ML/Statistical Layer

    Anomaly detection and trend analysis

  3. 03

    Narrative Generation

    Optional LLM-based summary text

  4. 04

    Delivery

    Insight text integrated back into dashboards

What we built

  • Anomaly detection paired with threshold-based alerts
  • Temporal trend analysis (week-over-week and month-over-month)
  • Segment performance comparisons across regions and customer groups
  • Automated narrative summaries integrated into dashboards

Outcomes

  • Business stakeholders get automated summaries answering "what changed"
  • Analytics teams redirect effort toward strategic decisions rather than report writing
  • Standardized, repeatable insight generation across dashboard ecosystems

Let's talk about what your data should be doing for you

Tell us where you are today and where you're trying to get to. We'll respond with a clear, honest read on the path forward.