AI Chart Explain 🤖
Overview
AI Chart Explain provides a one-click natural-language interpretation of any chart in Analytics Pro. The feature uses a vision-capable language model that reads the rendered chart together with a sample of the underlying data, and returns a concise explanation of what the chart shows, why it might be doing so, and what to investigate next.
Use it to:
Generate talking points for executive briefings and reviews
Produce written commentary for monthly facilities reports
Quickly understand unfamiliar charts without manual analysis
Provide context to non-technical stakeholders
How to Use It
Open any chart in any Analytics Pro dashboard.
Click the Explain with AI icon (the lightning / sparkle icon) in the chart header.
The explanation appears in a panel below the chart while it generates, with a skeleton loader.
Once complete, the explanation is rendered as formatted Markdown and includes a copy-to-clipboard button.
Hide or minimise the panel when you have read it; the result remains attached to the chart for the rest of the session.
What the Explanation Contains
Every explanation is contextualised by the filters currently applied to the chart (building, floor, date range, resource type) and includes:
A summary of what the chart conveys
Trend analysis: direction, notable points, and anomalies
Likely causes for the observed pattern
Suggested next steps for investigation or action
Example
Availability
BasicAI
Free analytics charts
AnalyticsPro
Not included
Enterprise
All charts (free + Pro)
Output Features
Markdown formatting — explanations support emphasis, bullet lists, and headings
Copy to clipboard — one-click copy for use in emails, reports, or chat
Hide / minimise — collapse the panel without losing the result
Persistent within the session — re-open the same chart to retrieve the same explanation
Saved with reports — explanations generated within the Reports feature are stored alongside the chart in the saved report
Best Practices
AI Explain works best when you already see something interesting and want a structured second opinion. It is less useful for charts whose data is flat or empty.
The model sees only the rendered chart and a sample of the data, not your private notes or other dashboards. Adjust filters and re-explain to change the focus.
If the explanation seems generic, narrow the date range and re-run — context tightens the response.
Treat AI Explain output as a draft commentary, not a final report. Always validate before circulating externally.
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