Axle - AI for AML Compliance Operations

Meet

Rose

Your Transaction Screening Analyst

Rose is a skilled AI transaction monitoring analyst, ensuring your organization thoroughly investigates transactions, individuals, and businesses when depositioning transaction alerts for potential risks.

Highlights in Numbers

Rose is helping financial institutions revamp their compliance program

90%+

Reduction in screening alert queues

99.99%

AI accuracy - stressed tested on hundreds of thousands of alerts

Day O

ROI guaranteed

Job Description

Rose’s Role as a Transaction Screening Analyst

Analyzes transactional and KYC data to determine whether activities warrant escalation as suspicious or unusual.

Leverages a strong understanding of bank products, services, customer profiles, and regions to conduct accurate, efficient research.

Ensures timely case resolutions in accordance with SLAs, while maintaining comprehensive documentation and audit trails.

Provides clear, well-supported justifications for each decision, consulting external sources when needed for additional verification.

Records detailed findings for cases not meeting suspicious activity criteria, ensuring transparency in decision-making.

Conducts investigations across various types, including transaction monitoring, unusual activity reviews (UARs), bank referrals, and fraud reports.

Future: Engages with customers to gain deeper insights and context for their transactions, helping to assess and clarify behaviors under review.

How does Axle work?

Integrations

Rose is ready to help you process investigations from the following platforms:

CSV/API

Actimize

Comply Advantage

GBG Compliance

Trusted AI

Enjoy compliance with all leading standards and get unbeatable security with top-tier encryption and customizable, private models.

SOC 2 Type II Compliant

Read our full Trust Report here.

Audit Trails

Fully documented audit trail showing every AI decision, with timestamps, reasoning, evidence, and screenshots used in each workflow.

Risk Tolerances

Agents follow documented SOPs, completing  each step before making decisions. Risk scores are documented to assess decision effectiveness.

Built for Compliance

By splitting agents across SOPs and using diverse models, we reduce AI limitations and human bias. Results are fed back into the AI at every step to avoid errors and ensure accuracy.