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AI reporting dashboard automation
AI reporting dashboard automation turns your raw data into the meeting you would otherwise have to prepare for: a live dashboard with the metrics that matter and a scheduled written summary in plain English. Engine Labs ships this as the Insight Engine.
What is AI reporting dashboard automation?
AI reporting dashboard automation connects your existing data sources, builds a dashboard with the metrics that drive your decisions, and writes a weekly or monthly summary in plain English that gets posted where your team reads. Optional anomaly alerts fire when a metric moves outside its normal range.
Who is it for?
Agencies, e-commerce operators and founders whose Monday morning is taken by pulling numbers from a handful of tools into a deck. Anyone whose weekly read needs to be a paragraph, not a pivot table.
What does it replace?
A weekly reporting analyst pulling numbers, writing commentary and explaining what changed.
What inputs does it need?
- Your existing data sources (Stripe, Google Analytics, HubSpot, Shopify, Airtable, Sheets, a CSV export, Postgres).
- The questions you actually care about each week — not all the metrics, the ones that drive decisions.
- The audience for the read (you, your team, your board, your investors).
What does the system output?
- A live dashboard with the metrics that matter and the filters you need.
- A scheduled written summary (weekly or monthly) in plain English, sent where your team reads.
- Anomaly alerts when a metric moves outside its normal range.
How much does it cost?
The Insight Engine price band runs from A$450 to A$3,500 AUD, GST exclusive unless stated, scoped in the Control Centre. See the full pricing schedule for tiered detail.
What tools can it integrate with?
Stripe, Google Analytics 4, HubSpot, Shopify, Klaviyo, Mailchimp, Airtable, Google Sheets, Notion, Postgres/Supabase, BigQuery, Metabase, Lightdash, Looker Studio, Plausible, Fathom.
What should not be automated?
- Data warehouse design or large-scale ETL.
- Investor-grade financial modelling or auditing.
See what we don't do for the full exclusion list.
How Engine Labs builds it
Brief, scope, build, acceptance, handover. One to three weeks depending on source count and dashboard complexity. Every metric definition is documented so there is no 'what does this number actually mean' argument later. The full six-step Build → Run loop is on the methodology page.
FAQ
Questions about AI reporting dashboard automation.
No. It summarises and alerts. Every summary is clearly labelled as AI-generated commentary on the underlying numbers; the numbers are the source of truth, the commentary is the read.
The Insight Engine price band runs from A$450 to A$3,500 AUD, GST exclusive unless stated. Basic is a single data source with a static dashboard; Premium covers up to four sources with a full dashboard, AI summary, anomaly alerts and documented metric definitions.
Stripe, Google Analytics 4, HubSpot, Shopify, Klaviyo, Mailchimp, Airtable, Google Sheets, Notion, Postgres/Supabase, BigQuery on the data side; Metabase, Lightdash and Looker Studio on the dashboard side. Listed in full on the Insight Engine spec sheet.
Yours. The Insight Engine works in your existing analytics or BI tool of choice — we do not lock you into a proprietary dashboard.
Get started
Brief AI reporting dashboard automation in the Control Centre.
Read the Insight Engine spec sheet for the full scope, the pricing schedule for tiered detail, or open the Control Centre to brief it directly.