Use cases04 / 08
moves cash

Collections. The right accounts worked first, with the full story.

The problem

Collectors work the list top-down by balance, but the account most likely to pay this week is rarely the biggest one — and the call that burns a customer relationship costs more than the balance it recovers.

What we deploy

Eridian ranks the queue by recoverable value and propensity to pay, drafts outreach with the account’s actual history in hand, and tracks every promise-to-pay to its due date. Your team makes the calls; the system makes sure they’re the right ones.

01

Queue ranking by recoverable value and propensity to pay — not balance order.

02

Outreach drafted with the account’s actual history in hand: orders, disputes, prior promises, relationship notes.

03

Promise-to-pay tracking to the due date, with automatic escalation when a promise breaks.

In the Ontology

The objects this use case reads and writes — stood up during the diagnostic, shared with every use case that follows.

CUSTOMERINVOICEPROMISEDISPUTECONTACT
Where it starts

This is a diagnostic candidate: two to three days on your floor, the relevant slice of the Ontology stood up from your data, and a working first pass you can judge in production terms — not a deck.

Find the ROI

AI stopped being a demo. Nobody sent a memo.

Not sure where to start? Book a half-hour with an engineer who ships frontier AI weekly. You’ll leave knowing what’s possible and what’s still a demo.

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