Skip to content
Customer / Entity to Screen AML Screening Result

AML Risk Assessment Software

AI-Powered Anti-Money Laundering Screening

Automated AML risk assessment against sanctions lists, PEP databases, adverse media, financial crime records, and beneficial ownership registries. Replace manual KYC reviews with AI-driven AML screening aligned with FATF recommendations and BSA/FinCEN requirements.

$99.00/mo 3 free runs — no card required

Get Started Free — use this tool instantly for free after registration. Build Your Own — create a custom AI tool for any use case. No coding required.

AML Risk Assessment Software — AI-Powered Anti-Money Laundering Screening
See it in action — no sign-up needed

Walk through a full screening in 3 minutes. Real interface, sample data, zero commitment.

Try Interactive Demo
11+
Data Sources Checked
284K+
Sanctions & PEP Entities
< 3 min
Average Screening Time
65+
Languages Monitored

How It Works

Enter the customer or entity's identifying information — name, country, industry, and AML assessment context. The platform runs a comprehensive AML risk assessment automatically, screening against sanctions databases, PEP registries, court records, adverse media, beneficial ownership records, and financial crime databases. Each finding is classified by AML risk category, severity level, and recommended action. Results typically arrive within one to three minutes, giving compliance officers and BSA analysts the intelligence needed to make rapid, evidence-based CDD and EDD decisions. As end-to-end AML screening software, the platform supports the full anti-money laundering screening lifecycle — new customer onboarding, periodic KYC reviews, transaction monitoring alert resolution, and event-triggered re-screening. Whether you need AML screening for a single customer or batch AML screening for your entire portfolio, the automated AML screening process delivers consistent, comprehensive results at scale.

1
Customer / Entity to Screen
Entity / Individual Name e.g. Global Trade Finance Corp.
Aliases / Trade Names DBA names, former names, associated individuals
Country e.g. United Arab Emirates
Registration / ID Number e.g. Trade License, EIN, Company Registration Number
Industry / Sector e.g. Banking, Money Services, Trade Finance, Real Estate
+ 8 more fields
2
AI Analysis
11 data sources
Sanctions & watchlists
Adverse media
Court records
Corporate registries
Offshore leak databases
AI web search
Results in < 3 min
3
AML Screening Result
Finding Title OFAC SDN List — Potential Match
Finding Summary Entity matches OFAC SDN list entry with 92% confidence — sanctions program: SDGT
Source Type Sanctions List PEP Database Adverse Media +7
Risk Level Green Yellow Red
AML Risk Category e.g. Sanctions Evasion, PEP, Money Laundering, Terrorism Financing
+ 4 more fields

Features

Sanctions & PEP Screening

Screen customers and counterparties against OFAC SDN, EU Consolidated Sanctions, UN Security Council, and UK sanctions lists. Simultaneously check directors, officers, and beneficial owners against global PEP databases — the foundation of every AML risk assessment.

Beneficial Ownership Analysis

Map corporate ownership structures, identify ultimate beneficial owners (UBOs), and flag nominee directors, shell company indicators, and opaque offshore holdings. Cross-reference against ICIJ Offshore Leaks (Panama Papers, Paradise Papers, Pandora Papers) for hidden connections.

AML Risk Assessment Reports

Receive structured AML risk assessment reports with findings organized by risk category — sanctions, PEP, beneficial ownership, financial crime, adverse media, and regulatory enforcement. Each report serves as a ready-to-use AML risk assessment template for regulatory submissions, audit documentation, and SAR filing support.

BSA/AML Compliance Screening

Purpose-built for BSA/AML compliance requirements. Screen customers for FinCEN enforcement history, OCC consent orders, BSA deficiencies, and money laundering indicators. Scoring presets aligned with FATF Risk-Based Approach and FinCEN CDD Rule requirements.

Understanding AML Risk Assessment

AML risk assessment is the cornerstone of every anti-money laundering compliance program. It identifies, evaluates, and mitigates the money laundering and terrorism financing risks that customers, counterparties, and business relationships may pose to a financial institution. Regulatory frameworks worldwide — from the FATF Recommendations to the US Bank Secrecy Act, EU Anti-Money Laundering Directives, and UK Money Laundering Regulations — require institutions to conduct risk-based assessments as the foundation for their AML compliance programs.

AML Customer Risk Assessment Process

A thorough AML customer risk assessment examines multiple dimensions simultaneously. Sanctions screening checks the customer against OFAC, EU, UN, and UK sanctions lists. PEP screening identifies whether directors, officers, or beneficial owners are politically exposed persons. Beneficial ownership analysis maps the corporate structure to identify ultimate beneficial owners and flag nominee or shell company indicators. Financial crime record searches surface money laundering convictions, BSA violations, and terrorism financing charges. Adverse media monitoring identifies mentions in connection with financial crime, corruption, or sanctions evasion. Each dimension contributes to a composite AML risk score that determines whether standard CDD is sufficient or enhanced due diligence (EDD) is required.

FATF Risk-Based Approach

The FATF Risk-Based Approach (RBA) is the international standard for AML risk assessment. It requires institutions to identify ML/TF risks, assess their likelihood and impact, and apply proportionate controls. The RBA recognizes that not all customers, products, or geographies carry the same level of risk — and resources should be concentrated where risks are highest. Our FATF-Aligned scoring preset implements this approach by weighting jurisdictional risk at 40% (reflecting FATF emphasis on geographic risk factors), applying strict scoring without positive mitigation, and incorporating FATF high-risk jurisdiction designations into the risk calculation. This ensures that institutions operating under FATF-compliant regulatory frameworks can demonstrate alignment with the RBA in examination settings.

BSA/AML Compliance Requirements

US financial institutions face specific BSA/AML requirements including the Customer Due Diligence (CDD) Rule, the Customer Identification Program (CIP), Suspicious Activity Reporting (SAR), and Currency Transaction Reporting (CTR). The CDD Rule requires institutions to identify and verify beneficial owners of legal entity customers, understand the nature and purpose of customer relationships, and conduct ongoing monitoring. Our BSA-Focused scoring preset is designed for these requirements — emphasizing sanctions, PEP, and beneficial ownership (the three CDD pillars) while incorporating FinCEN enforcement history and OCC examination findings. The platform produces reports that satisfy examiner expectations for documented CDD and EDD processes.

Beneficial Ownership & UBO Analysis

Beneficial ownership transparency is central to AML risk assessment. Money launderers frequently use layered corporate structures, nominee directors, shell companies, and offshore jurisdictions to obscure the true ownership and control of illicit funds. The platform analyzes ownership chains, identifies ultimate beneficial owners (UBOs), cross-references against the ICIJ Offshore Leaks database, and flags indicators of ownership opacity. For institutions complying with the Corporate Transparency Act and FinCEN beneficial ownership reporting requirements, this analysis provides an independent verification layer that complements self-reported ownership disclosures.

AML Screening Software for Financial Institutions

Anti-money laundering screening is a regulatory requirement for every financial institution — but the scope and complexity of AML screening obligations have grown far beyond what manual processes can sustain. Modern AML screening software automates the multi-database searches, risk scoring, and documentation that compliance programs demand, enabling institutions to maintain comprehensive AML screening coverage without proportional increases in compliance headcount.

Payment Screening & Transaction Screening

Payment screening checks the parties to financial transactions against sanctions lists and financial crime databases before payments are processed. Transaction screening extends this to evaluate transaction patterns, counterparty risk, and geographic exposure. While real-time payment screening systems handle automated filtering at the transaction level, our AML screening software provides the deep-dive entity screening that compliance analysts need when transaction monitoring systems generate alerts. By combining payment screening data with comprehensive entity-level AML screening — sanctions, PEP, beneficial ownership, adverse media — the platform delivers the complete picture that informed CDD and EDD decisions require.

Customer Screening & KYC AML Compliance

Customer screening is the operational backbone of every AML compliance program. Every new customer relationship requires screening against sanctions lists, PEP databases, and adverse media sources — and existing customers require periodic re-screening to detect changes in their risk profile. Our AML screening solutions automate customer screening for both onboarding and ongoing monitoring, querying every relevant database simultaneously and producing structured reports that satisfy AML KYC screening and KYC AML compliance requirements. For institutions managing thousands of customer relationships, automated customer screening eliminates the bottleneck that delays onboarding and creates compliance gaps between periodic reviews.

Anti-Money Laundering Screening Best Practices

Effective anti-money laundering screening follows several best practices that distinguish compliant programs from superficial checkbox exercises. First, AML screening must cover all relevant databases — not just primary sanctions lists, but PEP records, financial crime databases, adverse media, and beneficial ownership registries. Second, screening must apply to the entity AND its associated individuals — directors, officers, shareholders, and ultimate beneficial owners. Third, AML screening must be risk-proportionate — higher-risk customers receive more intensive screening and more frequent re-screening. Fourth, screening results must be documented in structured, audit-ready formats. Our AML screening software implements all four principles automatically, producing comprehensive screening results that regulators expect.

Global AML Screening Across Jurisdictions

AML regulations vary across jurisdictions, but the core screening requirements are universal. FATF member countries, EU member states under AMLD6, UK institutions under the Money Laundering Regulations, and US entities under the Bank Secrecy Act all require sanctions screening, PEP checks, and risk-based customer due diligence. Global AML screening must account for jurisdiction-specific sanctions lists, locally designated PEPs, and country-specific enforcement databases — while maintaining a consistent screening methodology across the institution. Our AML screening software handles this complexity by querying international and jurisdiction-specific databases simultaneously, applying jurisdictional risk weighting within the scoring model, and producing reports that satisfy regulatory expectations in any FATF-compliant jurisdiction.

Pricing

$99.00/mo

Billed monthly. Cancel anytime.

Try free — 3 runs, no card required

Get Started Free

Frequently Asked Questions

AML risk assessment is the systematic process of identifying, analyzing, and evaluating the money laundering and terrorism financing risks that a customer, counterparty, or business relationship may present. It examines sanctions exposure, PEP connections, beneficial ownership transparency, financial crime records, adverse media, and regulatory enforcement history to determine whether a relationship poses elevated AML risk. Modern AML risk assessment software automates this process using AI, replacing manual KYC reviews with real-time, evidence-based screening that covers multiple AML risk dimensions simultaneously. The output is an AML risk score that informs customer due diligence (CDD) decisions, enhanced due diligence (EDD) triggers, and ongoing monitoring frequency.

BSA/AML risk assessment refers to the risk evaluation process required under the U.S. Bank Secrecy Act and its implementing regulations. Financial institutions must assess the money laundering and terrorism financing risks posed by their customers, products, services, and geographic exposure. A BSA AML risk assessment typically evaluates customer type (individuals, businesses, financial institutions, MSBs), transaction profiles, geographic risk (FATF high-risk jurisdictions, sanctioned countries), and product risk (correspondent banking, private banking, trade finance). Our platform automates BSA AML risk assessment by screening customers against FinCEN enforcement records, OFAC sanctions lists, PEP databases, and financial crime databases — producing structured reports that satisfy examiner expectations.

AML risk scoring assigns a numeric risk value to each customer or entity based on multiple weighted factors. The scoring model evaluates jurisdictional risk (country of registration, operations, and counterparties), AML severity (sanctions hits, PEP connections, financial crime records, adverse media), and criminal exposure (court records, enforcement actions). Each finding contributes a weighted score based on its source type and severity. The platform offers four scoring presets — Smart (AI-augmented), FATF-Aligned (geography-heavy, conservative), BSA-Focused (US regulatory), and Balanced Matrix (equal weights) — allowing institutions to align their AML risk scoring methodology with their regulatory environment and risk appetite.

The platform screens against all major sanctions lists including OFAC SDN (Specially Designated Nationals), OFAC Consolidated Sanctions, EU Consolidated Sanctions, UN Security Council Consolidated List, UK OFSI Consolidated List, and additional lists covered by the OpenSanctions database (284K+ entities). Both entity names and known aliases are checked against each list. Sanctions screening is the first priority in every AML risk assessment — a confirmed sanctions match is an automatic Red/Escalate finding.

The platform automates the data-gathering and screening components of KYC reviews — sanctions screening, PEP checks, beneficial ownership analysis, adverse media monitoring, and financial crime record searches. This eliminates the manual database lookups, web searches, and report compilation that typically consume 70-80% of analyst time in traditional KYC processes. The compliance officer retains decision-making authority — the platform provides the evidence and risk scoring, while the human analyst makes the final CDD/EDD determination. This human-in-the-loop approach satisfies regulatory expectations while dramatically reducing the time and cost per review.

Yes. You can re-run AML screenings at any time for periodic reviews, event-triggered checks, or transaction monitoring alert investigations. Each screening produces a timestamped report, creating a complete audit trail for BSA/AML compliance documentation. For institutions implementing risk-based ongoing monitoring, the platform's scoring presets allow you to set different screening frequencies based on customer risk level — monthly for high-risk, quarterly for medium, annually for low-risk.

AML screening is the process of checking customers, counterparties, and business relationships against regulatory databases to identify money laundering and terrorism financing risks. AML screening encompasses sanctions list screening, PEP (Politically Exposed Person) checks, adverse media monitoring, beneficial ownership analysis, and financial crime record searches. Effective AML screening software automates these checks by querying multiple databases simultaneously and producing structured risk assessments — replacing the manual, database-by-database searches that traditional anti-money laundering screening requires. Anti money laundering screening (AML screening) is a regulatory obligation for financial institutions, money services businesses, and other regulated entities under the Bank Secrecy Act, FATF recommendations, and equivalent international frameworks.

AML screening and AML risk assessment are complementary processes that work together within an anti-money laundering compliance program. AML screening is the operational process of checking an entity against sanctions lists, PEP databases, and other compliance watchlists — it produces match/no-match results for each database checked. AML risk assessment takes the screening results and evaluates them in context — weighting findings by severity, jurisdiction, corroboration, and relevance to produce a composite risk score. Our platform combines both functions: AML screening against 10+ regulatory databases feeds directly into configurable AML risk scoring models that produce actionable risk ratings aligned with FATF and FinCEN requirements.

Automated AML screening software reduces compliance costs by eliminating the manual database searches, spreadsheet compilation, and report drafting that consume the majority of analyst time in traditional AML screening processes. A single manual AML screening can take hours — querying sanctions databases individually, searching news archives, checking corporate registries, and compiling findings into a report. AML screening software automates this entire workflow, querying all databases simultaneously and producing a structured risk assessment in minutes. For institutions processing hundreds or thousands of CDD reviews, the efficiency gain translates directly to lower compliance headcount requirements and faster customer onboarding — without compromising screening thoroughness.

The platform supports transaction screening and payment screening by enabling you to screen the parties involved in transactions and payments against sanctions lists, PEP databases, and financial crime records. When a transaction monitoring system generates an alert, compliance analysts can use the platform to conduct rapid AML screening of the entities involved — verifying their sanctions status, PEP connections, beneficial ownership, and adverse media in minutes rather than hours. For payment screening, the platform checks counterparty names against OFAC SDN and other sanctions lists, flagging potential matches for review. This complements real-time payment screening systems by providing the deep-dive AML screening that automated transaction filters cannot perform.

The platform provides end-to-end AML screening solutions covering every stage of the customer lifecycle. Core AML screening capabilities include: sanctions list screening against OFAC SDN, EU, UN, and UK sanctions, PEP screening for directors, officers, and beneficial owners, beneficial ownership analysis with shell company detection, financial crime record searches, adverse media monitoring in 65+ languages, and regulatory enforcement history checks. As integrated AML screening software, the platform consolidates these capabilities into a single workflow — eliminating the need for separate sanctions screening tools, PEP databases, and adverse media monitoring systems. AML screening solutions are configurable by risk appetite, with four scoring presets aligned to different regulatory frameworks.

Ready to Get Started?

Create your "Customer / Entity to Screen" profile and let our AI do the rest.

Get Started Free

Need Help?

Our support team is here to assist you with any questions

In-App Messages

Registered users can contact support directly through the messaging system.

Login to Message Register