Solution 04
Analytics that reads the work, not a warehouse.
Most finance analytics reports on a copy of yesterday. These read the same records the agents are working, which is why the number moves when the work does.
The agents
Two analytics agents
Cash Analysis
Position and forecast built from live receivables, payables and applied cash rather than a periodic extract.
Collection Analytics
Debtor behaviour and recovery probability, feeding the sequence the Collections agent works.
Embedded
Where the views actually appear
Analytics is not only a destination. The same reads appear inside close, journal and reconciliation, so the person approving an item can see what it does to the position without leaving the screen.
The honest part
Forecast quality follows data quality
A cash forecast built on live records is better than one built on a nightly copy. It is still a forecast. Where payment behaviour changes faster than history predicts — a customer in distress, a seasonal shift — the model is behind, and the platform shows the confidence rather than hiding it.
Questions
Asked before every deployment
How is this different from a BI dashboard?
It reads the live finance records the agents are working rather than a nightly extract, and the same views are embedded inside close, journal and reconciliation.
What does Collection Analytics predict?
Debtor behaviour and recovery probability, which feeds the order in which the Collections agent works the list.
See it running before you decide.
The tour is the product, not a video of it. Walk the floor yourself — no form in front of it.