Anti-Money Laundering (AML)
AML data that powers faster, more accurate compliance decisions
Our Anti-Money Laundering (AML) solution, iAML, is an all-in-one compliance toolkit that helps banks, financial institutions and regulated businesses detect and prevent money laundering, fraud and financial crime. It brings sanctions screening, Politically Exposed Person (PEP) screening, watchlist and adverse-media screening, international leak databases and corruption monitoring together in one platform, with ongoing monitoring and a dedicated back office for Money Laundering Reporting Officers (MLROs). iAML combines advanced name-matching algorithms, multilingual transliteration and an innovative face-matching capability with AI-driven monitoring and dynamic risk scoring. Compliance teams can screen customers, counterparties, vendors and partners accurately, cut false positives and act quickly on genuine risk. It can be deployed on-premise or integrated through REST APIs, so organisations keep full control of their customer data.
- Sanctions screening
- PEP screening
- Watchlist screening
Why Traditional Approaches Fail
As businesses scale across markets, traditional AML screening becomes slower, less accurate and harder to defend to regulators:
Transliteration and naming errors
names written in different scripts, spellings and cultural naming conventions are easily missed, so suspicious individuals and entities go undetected.
Too many false positives, or dangerous false negatives
poorly tuned matching either floods analysts with irrelevant alerts or misses real matches, exposing the organisation to money laundering risk and heavy regulatory fines.
Unmanaged PEP risk
politically exposed persons carry elevated corruption and bribery risk, yet many tools don't classify PEPs by risk level or track changes when their position changes.
Fragmented data sources
sanctions lists, watchlists, PEP data, adverse media, leaked offshore records and corruption data sit in separate systems, leaving gaps in due diligence.
Neglected ongoing monitoring
screening done only at onboarding misses later changes in a customer's risk profile, so the risk-based approach fails and the organisation faces reputational damage and legal exposure.
Data sovereignty and privacy risk
cloud-only screening tools can raise data security, compliance and latency concerns for institutions that must keep customer data within their own infrastructure.
Manual back-office work
MLROs manage cases, lists and evidence across spreadsheets and e-mail, which slows investigations and weakens the audit trail.
Engineered Capabilities & Modules
iAML delivers a complete, configurable AML screening and monitoring toolkit:
Sanctions screening
coverage of 200+ sanction regimes, including targeted financial sanctions, trade embargoes, travel bans and sectoral, narrative and multiple sanctions. Customers, counterparties, vendors and partners can be batch-screened, with periodic reassessments to catch changes in risk.
PEP screening
risk-tiered screening of Politically Exposed Persons across 235+ countries, with automatic updates to PEP risk levels when designations change (see below).
Watchlist screening
a consolidated dataset of 1,300+ global and regional watchlists, tailored to industry-specific compliance needs. It includes historical watchlist data, in-depth profiles, automated list alerts and customisable searches.
Adverse media screening
monitoring of 5,000+ news domains in 80+ languages, with sentiment-based analysis for accurate triggers, configurable alert thresholds, custom screening criteria and support for adding your own news sources.
International leak database
screening against offshore and leaked-document datasets, including the Panama Papers, Pandora Papers, Paradise Papers, Bahamas Leaks, Luxembourg Leaks and WikiLeaks, to uncover hidden offshore connections.
Corruption monitoring
up-to-date corruption rankings covering 236 countries, insights from leading international corruption indices, screening against corruption-related cases and real-time alerts when dealing with high-risk customers or partners.
Multilingual transliteration and fuzzy matching
names are converted across multiple scripts and matched using configurable fuzzy-match scores, so organisations can balance thoroughness against false positives for their risk appetite.
Face-matching for AML (iAML)
a pioneering approach that adds image-based face matching to traditional name screening. It reduces errors caused by naming conventions and helps MLROs approve cases faster and with more confidence.
AI-driven monitoring and dynamic risk scoring
continuous monitoring and intelligent analytics assign and update risk scores, highlight suspicious patterns and anomalies, and strengthen compliance while reducing false positives.
Ongoing monitoring
automated re-screening keeps the full customer base current against updated sanctions, watchlists, PEP and adverse-media data, supporting a true risk-based approach.
MLRO back office
case management with customisable dashboards, custom whitelisting and blacklisting, batch search across large datasets, and a complete digital audit trail.
Flexible deployment and integration
an on-premise option keeps customer data on your own servers, and REST APIs support bulk processing, an auto-code generator, a testing environment and 24/7 technical support. PEP Screening — Risk-Based Classification Politically Exposed Persons are a key area of money laundering, bribery and corruption risk. iAML classifies PEPs into four risk levels, in line with the FATF-guided risk-based approach, so organisations can apply the right level of due diligence to each relationship:
Level 1, High-Risk PEPs
heads of state and top government leaders, military chiefs, senior judges and influential political figures.
Level 2, Medium-High-Risk PEPs
senior state, military and law-enforcement officials, highranking civil servants and diplomats.
Level 3, Medium-Risk PEPs
senior management of government-owned businesses and board members of state organisations.
Level 4, Low-Risk PEPs
officials of international organisations, district assembly members and lower-ranking civil servants. How iAML manages PEP risk
High-quality, trusted data from reliable...
High-quality, trusted data from reliable sources covering 235+ countries.
Ongoing PEP monitoring that automaticall...
Ongoing PEP monitoring that automatically updates a PEP's risk level when their designation changes, giving a complete, current picture of each relationship.
Regulatory alignment with the FATF risk-...
Regulatory alignment with the FATF risk-based approach and the latest regulatory guidance.
Enhanced due diligence support
high-risk PEP matches can be escalated for deeper review, with every decision captured in the audit trail.
Quantifiable Business Benefits
Fewer missed matches
multilingual transliteration, fuzzy matching and face matching catch suspicious individuals and entities that name-only screening misses.
Fewer false positives
configurable match thresholds, sentiment-based media analysis and AIdriven scoring reduce alert noise and investigator workload.
Stronger PEP risk management
four-level PEP classification with automatic level updates ensures proportionate, defensible due diligence.
Complete risk picture in one place
sanctions, PEPs, watchlists, adverse media, leaked offshore data and corruption intelligence in a single toolkit.
Continuous compliance
ongoing monitoring keeps customer risk profiles current and supports a genuine risk-based approach.
Regulatory confidence
support for international guidance such as FATF, the EU's Sixth AML Directive (AMLD6), the U.S. Bank Secrecy Act and FinCEN expectations, backed by a full digital audit trail.
Data sovereignty and control
on-premise deployment keeps sensitive customer data inside your own infrastructure.
Faster MLRO decisions
case management, batch search, whitelisting and blacklisting, and face-match support speed up reviews and approvals.
Easy integration
REST APIs, bulk processing and a testing environment make it quick to embed screening into onboarding and core systems. Related Industries
Banks and financial institutions
sanctions, PEP and adverse-media screening with onpremise deployment for data sovereignty.
Insurance and wealth management
risk-tiered PEP classification and ongoing monitoring across the customer base.
Fintech and payment companies
API-based bulk screening embedded into onboarding and core systems.
Other regulated businesses
organisations with AML and know-your-counterparty obligations use the MLRO back office and audit trail.
See Anti-Money Laundering (AML) on your real workflows.
No commitment. A demo does not require a purchase order, and we will tell you if the product is the wrong fit — you leave knowing whether it fits, what integration takes, and what it costs.