−70% officer hands-on time, measured in live production.
A leading Swiss bank. 8 compliance officers, 4.5 weeks, real cases. Their numbers, not ours.
average, their own journals
including after formal close
across 37 languages
removed on a typical case
The facts of the pilot.
The problem was volume.
Adverse media does not arrive as a tidy list. One case can surface hundreds of articles.
before anyone reads one
in the pilot
A manual review realistically reads 10 to 20 of them. What stays unread is still risk, and it stays on the file.
What the agents did.
Exceptions and judgment calls route to a named officer. Every automated or human path is recorded.
A source that fails is reported as incomplete coverage, never as a clean result.
The full position for a model-risk function: AI governance.
An officer reports a gap. The fix goes live.
Every reported issue was resolved while the officers were still using the product.
Raised from inside the bank, against live production work.
The correction returned to the officers in the same working window.
during the pilot itself
to fixed in production
with the bank's officers
Every conclusion divergence was root-caused, resolved and returned to production during the pilot.
“Whenever we needed a fix, it was shipped extremely fast.” · Compliance officer, pilot journal
Measured in the officers' own journals.
Same dossiers, manual versus Compl.AI. Logged by the officers, reconciled line by line against production data.
manual, then Compl.AI
over the pilot
found, then surfaced
The 278 minutes include platform run time. The officer's clock kept running while Compl.AI worked, so active officer time alone was lower. We publish no second estimate.
No accuracy claim here. A number from our own test set is not evidence to your model-risk function.
The method is published instead: how −70% was measured.
Bank-approved deterministic rules can fully automate low-risk checks.
Anything outside those rules goes to a named officer with the full evidence attached.
Run the same measurement on your cases.
Same dossiers, manual versus Compl.AI, logged by your officers. We run the protocol with you.
Method: how −70% was measured · Vendor risk: security and data residency · Platform: how it works · Team: who is behind it