Business function

AI use cases for financial crime compliance

Anti money laundering, sanctions screening, transaction monitoring and investigations.

Use cases: 12
Deployments: 54
Organizations: 49
Outcome disclosed: 43%

12 Financial crime compliance use cases

49 organizations in 19 countries run these use cases in public. 43% of those 54 deployments disclose a measurable outcome.

Wealth and asset managementBanking

AI agent for source of wealth due diligence in private banking

AI source of wealth diligence is an AI agent that reads a prospective private client's documents and extracts how their wealth was built, for private banking compliance teams. It also corroborates that account, checks plausibility against benchmarks and external sources, and drafts the source of wealth and enhanced due diligence narrative for the relationship manager and compliance analyst, who decide on the risk rating and the relationship.

Deployments

3 public, best grade B

Autonomy

Copilot

BankingPayments and cards

AI copilot for SAR and STR narrative drafting

SAR and STR drafting is generative AI that writes the narrative of a suspicious activity or transaction report from the investigation file, with every fact linked to its source record. It covers who, what, when, where, why and how, case by case, so the investigator verifies, edits and files instead of starting from a blank page, unlike the periodic data returns of regulatory reporting.

Deployments

4 public, best grade B

Autonomy

Copilot

BankingPayments and cards

AI for AML transaction monitoring alert triage

AML alert triage is machine learning and AI agents that score anti money laundering alerts for genuine risk, closing clear false positives with a written and stored rationale. It hands investigators the remaining alerts, already enriched with the customer, counterparty and transaction context.

Deployments

8 public, best grade B

Reported false positive reduction

86%

Shift4, vendor claim

BankingPayments and cards

AI for business onboarding (KYB) and beneficial ownership discovery

Business onboarding and UBO discovery is AI that builds the know your business (KYB) due diligence file for a new or reviewed corporate client before any account opens. It collects registry, incorporation and ownership documents, resolves the entity across sources, maps the ownership chain through holding companies, nominees and trusts to the ultimate beneficial owners, screens the entity and its owners, and presents a risk scored case for a compliance analyst to decide.

Deployments

5 public, best grade C

Reported automation rate

25%

BNY, organization claim

Capital marketsBanking

AI for market abuse surveillance alert triage

AI market abuse surveillance triage helps surveillance analysts triage market abuse and conduct alerts such as spoofing, layering, wash trades, ramping and insider dealing. It gathers the trade, order, news and communications context, explains in plain language what triggered each alert, and drafts the investigation narrative for the analyst to disposition.

Deployments

5 public, best grade B

Reported handling time reduction

about 33%

Nasdaq, organization claim

BankingPayments and cards

AI for money mule account and network detection

AI mule network detection uses graph and behavioural machine learning to find money mule accounts and the networks around them, for investigators. These include circular flows, layering chains and clusters of newly linked accounts, and the AI supports investigators in tracing scam proceeds and restricting accounts before the money is gone.

Deployments

6 public, best grade B

Reported false positive reduction

bunq, vendor claim

BankingPayments and cards

AI for PEP and adverse media screening

AI PEP and adverse media screening continuously scans news, court records, registries and other open sources for negative information and political exposure tied to customers, counterparties and beneficial owners. It works in many languages, discards look alikes, and summarises the credible risk for the analyst with the sources attached.

Deployments

7 public, best grade B

Reported handling time reduction

at least 60%

Save the Children, vendor claim

BankingPayments and cards

AI for perpetual KYC and event driven customer due diligence

Perpetual KYC is AI that keeps each customer's due diligence file current by replacing calendar driven reviews with continuous, event driven refreshes. It watches for trigger events such as an ownership, address or behaviour change or a new adverse finding, refreshes the file automatically where it can, and involves an analyst only when something material changes. The risk rating and the first file for a new business client are separate use cases.

Deployments

6 public, best grade B

Reported cost reduction

40%

JPMorgan Chase, organization claim

BankingInsurance

AI for regulatory report assembly

Regulatory report assembly is AI that assembles periodic and data driven filings and returns, pulling data into the regulator's schema and validating it, before a named officer reviews and submits. Examples include prudential and statistical returns, threshold and transaction reports and disclosure packs. It also reconciles figures to source, explains movements against prior periods and drafts commentary; narratives for individual suspicious activity cases are a separate use case.

Deployments

5 public, best grade B

Autonomy

Copilot

BankingPayments and cards

AI for sanctions screening alert adjudication

Sanctions screening adjudication is AI that works the alerts raised when customer, counterparty or payment names match sanctions and watchlists. It resolves fuzzy matches across transliterations, aliases and naming conventions, clears clear non matches with a documented reason, and escalates true or uncertain hits with the evidence attached.

Deployments

7 public, best grade B

Reported false positive reduction

60%

United Overseas Bank (UOB), organization claim

Banking

AI screening of trade finance transactions for trade based money laundering

Trade finance crime screening is AI that checks every trade finance transaction for financial crime risk, for banks. It checks parties, vessels and ports against sanctions and watchlists, tests goods descriptions against dual use and controlled goods lists, compares unit prices with benchmarks for over or under invoicing, and reads trade documents and messages for laundering red flags, then prepares a case narrative for a human investigator.

Deployments

7 public, best grade C

Autonomy

Supervised agent

BankingPayments and cards

Dynamic AML customer risk rating with machine learning

Dynamic customer risk rating is explainable machine learning that computes and continuously updates each customer's money laundering risk rating itself, from due diligence data, products, geography, behaviour and screening results. It also shows which factors drive the rating and when enhanced due diligence is warranted.

Deployments

1 public, best grade B

Autonomy

Supervised agent

What the evidence says

Computed from the 54 public deployments behind these use cases. Numbers update with every checked record.

Benchmarks with at least 3 pooled values

Benchmarks across Financial crime compliance use cases
KPI	Median	Reported range	Data points	Claimed by
False positive reduction	73%	60% to 95%	4	2 organization, 2 vendor

Industries these use cases also serve

AI patterns used

Deployments by stage

Announced
14
Pilot
5
Production
31
Scaled
3
Paused or rolled back
1

Public deployments by region

Europe
18
Asia Pacific
14
North America
12
Global
7
Africa
2
Middle East
1

Organizations with a public deployment

AJ Bell
ANZ, Commonwealth Bank, NAB, Suncorp Bank and Westpac (BioCatch Trust Australia)
ANZ, HSBC and Lloyds Banking Group
Australia Post
BMO and Amalgamated Bank
BNP Paribas
BNY
Bank Of Africa Group
Bank of Singapore
Barclays
BigPay
Board of Governors of the Federal Reserve System
Commerzbank
Commodity Futures Trading Commission
Coventry Building Society
DBS Bank (Hong Kong)
Danske Bank
Darlington Building Society
Deutsche Bank
Finshark
First National Bank of Omaha (FNBO)
HSBC
ING
ING Bank
Incore Bank
JPMorgan Chase
Japan Exchange Group
M-DAQ Global
Mashreq
Nasdaq
National Australia Bank
National Credit Union Administration
Nexo
OCBC
Origin Bank
Ratepay
Reserve Bank Innovation Hub (Reserve Bank of India)
Santander UK
Save the Children
Scotiabank
Shift4
Stanbic Bank Uganda
Standard Chartered
TD Securities
U.S. Securities and Exchange Commission
United Bank Limited
United Overseas Bank (UOB)
Uphold
bunq

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