Positive Pay Exceptions demo
Every presented item laid over the client's own issue record, so each exception is decided with the evidence 1:32
What the demo shows
Business clients and treasury ops decide each check and ACH positive pay exception, evidenced
Agents compare every presented check and ACH debit with the client's issue file and authorization list, field by field, and cite the zone on the image and the row in the file. The client's issue record is drawn over the presented image as a translucent layer, the differing fields are named in one sentence, and a recommendation — pay or return — carries the zone behind each reason and the client's own eighteen-month history behind any claim that a payee is new. Washed payees, altered amounts and the red flags in FinCEN's mail-theft check fraud alert are raised with the evidence, never as a verdict. The client decides in its portal before the cutoff; where the agreement says the bank decides, an analyst applies the default and a second person checks it, with the supervisor signing a return above the review amount. Two or more signs open a referral in the fraud unit, and nothing a client sees ever shows it exists.
Transcript
- Positive Pay Exceptions decides every check and ACH exception for treasury operations.
- Checks are still the most defrauded payment — sixty-three percent of organizations.
- Tessaly Community Bank has ninety-five today, before a two o'clock cutoff.
- Check ten four eighty-two: the issue record, over the presented check.
- The payee was washed: Lakeshore Medical Supply became Jordan K. Mills.
- And the amount: twelve eighty-four became nine thousand two hundred eighty-four.
- Faded ink under darker ink, and a payee never paid before.
- The agents recommend a return, citing the zone behind every reason.
- The client decides. Danielle returns it, with a reason.
- An analyst prepares the return; a supervisor signs above five thousand.
- A referral opens in the fraud unit. The client never sees it.
- Ninety-eight percent decided before the cutoff, each by a named person.
- Built on Botminds: agents, data, screens and governance on one platform.
The narration as written for the film. Captions are on the player.