Management analytics
A dashboard shows the drop. It never says why.
AI reads the revenue and margin data in your ERP, takes the question, traces the cause, and writes the report. The only human step left is deciding whether to send it.
Where this starts
The numbers already exist. Sales, cost and order data sit in the ERP, and a dashboard has been built on top of them. Every month someone still exports it to a spreadsheet to work out what moved.
What made it hard
A dashboard answers what, never why. Finding the cause means slicing the same data by product, region and account until something lines up — and the answer arrives days after the decision was needed.
How it works
A semantic layer gives the data business meaning, so a question asked in plain language resolves to metrics, dimensions and a period. The system follows the change down to its source, shows how much each level explains, and drafts the report.
Step through a run
Pick a question and follow what the system did with it — including the one it refuses to answer.
Pick a sample
Financial data is read from the ERP
Ledger, sales, cost and purchasing tables are pulled on a schedule. Nothing is copied by hand, and every figure below traces back to a row.
Read from
- ERP (SAP)sd.billing_doc128,400 rows
- ERP (SAP)co.profit_center41,900 rows
- CRM (Salesforce)account2,150 rows
- Period
- 2026-08-01 — 2026-08-31
- Last loaded
- Sep 1, 2026, 04:10
A recorded run against a sample warehouse. The figures are synthetic. What the semantic layer resolves depends on how your own data is modelled.
What it runs on
- Semantic layer
- Natural-language query
- ERP & CRM integration
- Report generation
Questions your dashboard cannot answer?
Tell us what you keep exporting to a spreadsheet. We will tell you whether it can be answered where the data already lives.
Talk to us