AML/KYC Exception Handling
Your AML analysts drown in false positives while real risk signals get buried. ActionAI enriches every alert with internal and external data, scores risk precisely, and routes cases to investigators.
80%
Fewer false positives
99.3%
Identity verification accuracy
<4 wks
Time to deploy
01
The Problem
The Challenge
Alert volumes climb year after year and false positive rates refuse to drop, so your analysts spend weeks clearing noise instead of investigating genuine threats. KYC onboarding and periodic reviews consume thousands of hours on top of that, yet regulators still expect documented decisions on every single case.
02
How It Works
How ActionAI Solves It
ActionAI builds a complete risk profile for each incoming alert by pulling internal transaction history, counterparty data, and external intelligence. Alerts matching known false-positive patterns get documented rationale and a disposition with a full explanation chain that holds up to examiner review. Higher-risk alerts surface with a consolidated context package, including transaction details, customer history, and recommended next steps. On the KYC side, the platform handles document collection, submission verification, and customer risk scoring for both new onboarding and periodic refresh, routing anything requiring enhanced due diligence with the specific triggers already identified.
03
The Outcome
Key Capabilities
Your analysts spend their time on actual investigations instead of triage, with false positives clearing through documented disposition and genuine risk cases arriving with full context. Every alert carries traceable justification ready for regulatory review, and KYC verification runs continuously in the background.
Results that speak for themselves
80%
Alert noise reduction
Context-scored exceptions only
99.3%
Document verification
Per-field identity document scoring
5x
Document verification
Automated KYC with human-in-the-loop
Financial Services
In finance, every mistake has a footnote. A duplicate payment slips through because two instances of the same supplier have slightly different spellings in the vendor master, and the 10-K has to name the correction the following quarter. Reconcile a cash account against last month's bank statement, and the break carries into the year-end audit as a material weakness. Ground truth is the PO and goods receipt for AP, or the bank feed for a reconciliation. ActionAI scores every automated match and reconciliation against those controlling records, and high-confidence transactions post without a clerk opening the entry. When a match falls below threshold, ExEx (Explainable Exceptions) holds the posting and hands it to a reviewer with the failed check and source document on screen, so the reviewer opens the case knowing what to verify.
Related Use Cases
Frequently asked questions
AP and reconciliation at Emirates NBD at 1M+ daily transactions with auto-match moving from 90% to 99%+, invoice and procurement audit at RAK Ceramics at 99.8% accuracy, and month-end close acceleration at Healthy Poke (Day 9-10 to Day 3). Finance is the universal entry point for ActionAI across every vertical.
The posting holds and goes to a reviewer. The failed match and the source document behind it are surfaced together.
No. ActionAI reads from your GL, subledger, and close tools via API or data export; the books stay in your ERP.
A 1-2 hour scoping call identifies the highest-ROI process, then a free pilot delivers results in days to weeks. The enterprise AI average is 13 months; ActionAI runs at a different cadence.
SOC2 compliant with SSO and encryption, deployed in cloud or on-premises. Every decision is logged with full audit traceability from day one.