Stalled onboarding,
worked automatically.
Every application is watched, every stall caught the moment it happens, and every follow-up run until the account is transacting.
Contacted merchant to verify ultimate beneficial owner (UBO) details as part of KYC. Confirmed UBO identity against provided documentation, flagged a name mismatch on one director, and requested an updated proof-of-address before advancing the application to the next onboarding stage
Called Kevin Arnoldto restart Finflier’s stalled onboarding. Walked through the 4 outstanding KYB items — UBO IDs for both owners, the ISO Leap form, and proof of address — and confirmed they’re still targeting an end-of-month go-live.
James: Kevin, thanks for jumping on. Wanted to pick this back up and make sure we get Finflier across the line. I know things stalled out a bit but we’re ready to move whenever you are. Kevin: Appreciate the follow-up. We’ve been heads down internally but onboarding is still a priority.
Emailed Kevin Arnold for a status update — no new documents uploaded yet. UBO IDs for Marcus Reed and Elena Cho, the ISO Leap form, and proof of address remain outstanding.
Where accounts go to die.
A customer clears most of verification, stalls on one document, and drops out of everyone’s queue. Onboarding runs in parallel steps, so there is no single queue anyone owns.
Cases sit in waiting for months. No owner, no next step, no clock running.
The chase happens once. Then never again
Compliance asks in fragments. One more document, then another, and each round trip sends the case back through manual review.
How this agent works
Every case gets an owner that never drops it. The agent detects the stall, runs the chase, and prioritizes the queue, working each account until it’s live
01
Detects the stall
Spots a stalled or incomplete case the moment it stops moving.
02
Chases across channels
Runs multi-touch follow-up across email, SMS, WhatsApp, and calls until the customer is onboarded.
03
Prioritizes the queue
The agent ranks every case itself, by likelihood-to-complete and risk, so strong applicants go live first and only edge cases reach a reviewer.
What it reads, derives,
and does with it.
What it reads
Every in-flight case, end to end.
What it derives
The signals it builds per case.
What it does with it
The action each signal triggers.
“We saved 40 hours a week on manual reviews. Rulebase allows nothing to slip through — we trigger workflows automatically to solve issues before they escalate.”
Agents that drive revenue across any timeline
The AI revenue workforce for financial services. From approved to transacting, no account left behind.

