Try it yourself

Ask, see the answer with its evidence, press approve

No sign-in. Same window as the product pages, fictional data, nothing written to any system.

1
Pick an industry
From the chips below. Script and data are fictional.
2
Watch the conversation, press on the action
Manufacturing is the anomaly → cause → impact → decision board; other industries run three questions. Approve or hold at the end.
3
Check the ontology and the ledger
Left rail: which entities and rules were followed, and how your decision is kept.

Where did the change from the usual range begin? Three anomalies this morning

Profit OSFictional Manufacturer · Plant 1

As of 2026-06-13 07:00 · ERP · MES read-onlyRead-onlyFictional data

Anomalies

Only signals outside the usual range come up. The other 896 items are within range.

CompanyFictional ManufacturerPlantPlant 1Period2026-06 to dateBasisUsual range · last 12 weeks

Where the anomaly appears

Cost+4.3%pFrozen-food cost ratio

MarginUsual range

Inventory19.5 daysCentre B · SKU-118

YieldUsual range

DefectsUsual range

DeliveryUsual range

3 anomalies · click a row to go down to the cause
Detected	Signal	Where	Usual → now	Next lock-in	Status
13 Jun	Cost ratio +4.3%p	Frozen food · material S-042	64.1%68.4%	Quote 25 Jun D-12	Check cause ›
12 Jun	Inventory 19.5 days	Centre B · SKU-118	4–7 days19.5 days	Disposal 20 Jun D-7	Review transfer ›
10 Jun	Purchase price +15.2%	S-042 · supplier K	Last-month avg+15.2%	Order 18 Jun D-5	Alternative quote ›

Next step

Check the fit in a minute first; if it fits, we set what to connect and when in a consultation, and see whether public funding can lower the cost.