Brits love to gamble. They visit High Street betting shops and glitzy gaming parlors. They bet in bingo halls and online. They play the slots, and the ponies. Even Queen Elizabeth II got into the act, owning a slew of racehorses. (The Buckingham Palace party line holds that while Elizabeth profited from the ownership of these horses, she never bet. Scuttlebutt has it otherwise.)[1]
All this gambling coalesces into big business. In 2023, the UK reported a gross gambling yield of £15.1 billion, making it the largest gambling market in Europe.[2]
Wherever there’s gambling, money laundering follows. The United Kingdom’s National Crime Agency estimates that criminals launder anywhere between £36 billion and £90 annually in that country[3] — a significant percentage through gambling. To improve anti-money laundering (AML) efforts, the UK’s Department of Culture, Media & Sport has published a white paper called High Stakes: Gambling Reform for the Digital Age. It issues new guidance for gaming operators.
This article will examine the current state of gambling regulations in the UK; new guidance for operators; and how cutting-edge technology can help operators better comply with gaming laws.
The current landscape
Across operators and jurisdictions worldwide, the gambling environment makes money laundering easy. Cash in/cash out scams are popular: criminals exchange dirty money for playing chips, bet a hand or two, then convert the chips back into cash. This process disguises washed money as legitimate winnings. Sometimes, criminals collude: one player “loses” dirty money to a cohort. The cohort then appears to have legitimately won at the tables. Some money launderers wash their money by buying casino chips from gamblers at an inflated price (paying £1.25 for every £1 chip, for example). They cash out these chips and voila: dirty money is cleaned.
The United Kingdom understands the problem. Gaming laws, including the Gambling Act of 2005[4] and the Gambling (Licensing and Advertising) Act of 2014[5], establish AML guidelines that operators must follow. These laws apply to gaming operators based in the UK, and to foreign operators providing online gambling opportunities to persons residing in the UK. The laws list various conditions and codes of practice for gaming operators in the fields of AML, anti-terrorist financing, social responsibility, consumer fairness, and other topics.
To comply with these laws, UK operators now undertake significant customer verification processes. Before placing a bet, persons gambling in physical or virtual spaces must prove their age and identity via passports, drivers’ licenses, National Identity Cards, or similar government-issued IDs. Operators must then match these gamblers to existing entities in government and commercial databases, including electoral roles and credit agency listings. Operators examine the gambler’s bank statements; sources of wealth (evidence of inheritance, family support, dividends from sales of assets); sources of funds (pay stubs, bank statements, tax returns); and income patterns. Additional checks may be conducted before online gamers suspected of money laundering are allowed to withdraw money from their gaming accounts.
A note on problem gamblers
The United Kingdom estimates that 430,000 people in the country suffer from compulsive gambling. To help them, the UK has developed a multi-operator self-exclusion database called GAMSTOP. Problem gamblers can sign up to this database, essentially telling all land-based and virtual gaming parlors, “Do not allow me to gamble at your facility.” Operators are obligated to refuse service to those enrolled in the self-exclusion database. They must check the database as part of the customer-verification processes discussed under “The current landscape.”
From this information, operators develop a profile of each gambler, determining his or her spending threshold. These profiles should “demonstrate that the customer has personal funds from a reputable source to support [their] level of expenditure,” according to the UK Gambling Commission.[6] If operators determine that a prospective gambler earns £1,000 per week, has £8,000 in savings, £10,000 in available credit, and no additional history of wealth, he should simply not have the funds to gamble £15,000 every month. His attempt to gamble this much money may indicate an instance of money laundering.
Unfortunately, existing AML efforts aren’t always enough to keep gaming operators from running afoul of British law.
In 2023, the Gambling Commission penalized the William Hill Group with a record £19.2 million fine for failure to abide by AML and social responsibility regulations.[7] In 2022, the Entain Group received a £17 million fine for similar failures.[8] Earlier this year, the Commission fined Gamesys Operations Ltd. £6 million for insufficiently identifying risks of money laundering or problem gambling.[9]
New AML guidance
To curb instances of money laundering and better spot those who have self-excluded, the UK has issued new guidance. This guidance encourages UK gambling operators to curb money laundering by improving “the integrity and probity of the applicant and the applicant’s ability to conduct gambling in a solvent and responsible manner in compliance with law and regulation.”[10]
Key to meeting this guidance is improvement of gambler onboarding processes and the creation of a more holistic view of each customer.
Frictionless onboarding and an improved customer view
For UK gaming operators, compliance starts with knowing who is trying to gamble, whether that individual presents financial crime or social responsibility risk, and whether the activity they conduct over time aligns with the customer profile established at onboarding. That requires more than a one-time identity check. It requires identity intelligence: the ability to resolve names and attributes accurately, connect fragmented records, surface risk signals, and support ongoing monitoring as customer behavior changes.
Babel Street capabilities can help operators strengthen this process without forcing them to replace existing customer identification, onboarding, or compliance systems. Babel Street Match can integrate into screening and verification workflows to improve the accuracy of name matching, entity resolution, and customer record linkage. Babel Street Insights and Insights Investigator can then help analysts and compliance teams assemble a broader, more contextual view of identity risk by searching across rights-cleared, multilingual data, surfacing relevant signals, and producing evidence-backed findings that can be reviewed, validated, and defended.
Used together, these capabilities can support faster onboarding for legitimate customers while helping operators identify higher-risk individuals, linked accounts, aliases, watchlist exposure, adverse media, hidden associations, or activity that may warrant enhanced due diligence. The result is a more reliable foundation for AML compliance, safer gambling obligations, and a single customer view that evolves beyond initial registration.
The importance of name matching
Name matching and entity resolution are important parts of the customer-verification process. Babel Street Match is designed to compare, match, and resolve names of people, places, and organizations across languages, spelling variations, transliterations, nicknames, aliases, initials, reordered name components, and incomplete or inconsistent records. In gambling compliance workflows, that matters because the difference between “Pete Smith,” “Peter A. Smith,” “P. Smith,” and “Peter Smythe” may determine whether an operator correctly clears a legitimate customer, identifies a sanctioned or excluded individual, or escalates a case for further review.
The name-matching process can be tricky. Exact matches are rare, and mismatches are not always obvious. High-velocity, high-stakes name matching in gaming requires AI-powered and statistically grounded matching capabilities that let operators tune thresholds and match parameters to align with their regulatory obligations, customer data, risk appetite, and operational tolerance for false positives and false negatives.
Babel Street Match supports this by returning explainable match scores and helping teams understand why records are linked or separated. That transparency is critical in regulated environments, where operators need to demonstrate that their AML compliance solutions are not only fast, but also consistent, auditable, and aligned with policy.
Resolving entities
Remember the mandated customer-verification processes discussed under “The current landscape?” Babel Street Match can help operators determine whether the “Pete Smith” hoping to gamble is the lawful holder of the driver’s license issued to “Peter A. Smith.” It can also help distinguish that potential gambler from a sea of “Peter Smiths,” “Peter A. Smiths,” and “Pete Smythes,” some of whom might appear on sanctions lists, politically exposed person lists, adverse media, industry exclusion lists, or self-exclusion records.
This process of finding the “right” Pete Smith is called entity resolution. It is accomplished in part by matching names to other identifiers such as dates of birth, addresses, places of birth, known associates, digital identifiers, and other contextual attributes. For gaming operators, entity resolution is a significant first step in creating a single customer view. It helps compliance teams connect customer records that belong together, separate records that do not, and reduce the investigative burden created by ambiguous or duplicated identity data.
A stronger single customer view can also help operators move beyond static onboarding. When identity records are better resolved, operators can more confidently compare customer activity against known financial profiles, identify unusual behavior, and determine when additional checks may be needed before deposits, withdrawals, or continued play.
Current benefits
The benefits of frictionless onboarding, name matching, entity resolution, and identity intelligence are significant for operators, bettors, and regulators.
Frictionless onboarding enables qualified gamblers to be verified quickly, so they can start gaming without being unduly burdened by the signup process. Slow verification processes may drive potential gamblers to different, faster operators. In worst case scenarios, those gamblers may be driven to offshore, unregulated markets.
Operators benefit when legitimate gamblers can start playing right away. They increase revenue opportunities while improving confidence that those revenues are coming from properly verified customers. Just as important, they reduce the likelihood of enabling money laundering, violating regulatory mandates, or incurring fines tied to weak AML controls. Accurate name matching can also dramatically reduce false positives, helping compliance teams spend less time clearing low-risk cases and more time investigating customers whose activity or identity signals truly warrant attention.
Identity intelligence also strengthens the operator’s ability to spot risk after onboarding. A customer may pass an initial identity check, then later begin making deposits, withdrawals, or account changes that do not align with the profile created during registration. Babel Street Insights can help compliance teams investigate those changes more efficiently by assembling relevant information, surfacing connections, and organizing findings into decision-ready outputs with traceable sources. That can help operators move from reactive checks to more proactive monitoring.
Regulators also benefit. Too often, in their examination of operators, regulators lack a clear view of the technology deployed for AML efforts, its capabilities, and its alignment with regulatory mandates. Explainable matching, transparent investigative workflows, and evidence-backed reporting can help operators demonstrate what information was checked, how potential matches were assessed, why certain cases were escalated, and how decisions were supported.
Possibilities, powered by AI
Clearly, there are significant benefits to implementing identity intelligence capabilities now. In matching names, resolving entities, and connecting fragmented identity signals, Babel Street capabilities lay the groundwork for a more complete view of each customer. This is important because gambling risk does not always appear within a single account, operator, or moment in time. A customer who appears low risk during onboarding may later behave differently across products, channels, or accounts. A customer who appears legitimate in one data source may have aliases, hidden associations, adverse media, or digital signals that tell a more complicated story.
This is where Match and Insights Investigator can work together. Match can strengthen the precision of identity resolution at scale, helping operators determine which records refer to the same person and which do not. Insights Investigator can help analysts move from an investigative question — such as whether a customer, account cluster, or linked entity presents elevated AML risk — into a structured research plan. It can execute across approved sources, surface leads and connections, and return citable findings that analysts can inspect, refine, and validate.
For UK gaming operators, this means AML compliance can become more intelligence-led. Instead of relying only on static checks at registration, operators can build workflows that support continuous identity monitoring, enhanced due diligence, adverse media review, linked-account analysis, and investigation of suspicious activity. They can better understand whether a customer is who they claim to be, whether their behavior aligns with their stated financial profile, and whether connected identities or networks indicate broader risk.
Right now, every operator must perform its own customer verifications, incomplete as they may be. This puts a significant cost burden on operators, from buying, deploying, updating, and maintaining technology to employing staff and training them in appropriate investigative techniques. Babel Street’s modular, interoperable capabilities can help reduce that burden by augmenting existing systems rather than requiring wholesale replacement. Operators can deploy matching, search, investigation, and monitoring capabilities through flexible workflows that support their compliance requirements and operational models.
A more intelligence-led approach could also help operators create a clearer, more consistent view of customer risk over time. As identity data changes, as new adverse information emerges, or as behavioral signals shift, operators need ways to revisit and reassess the customer profile. Babel Street identity intelligence capabilities can support that ongoing process, helping teams connect the dots across names, attributes, digital footprints, relationships, and risk indicators.
Powered by Babel Street Match and Insights Investigator, gaming operators can improve onboarding, strengthen AML checks, reduce false positives, support enhanced due diligence, and build a more complete view of customer risk. That combination can help UK operators meet evolving regulatory expectations while protecting legitimate customers, reducing exposure to financial crime, and giving compliance teams the intelligence they need to act with confidence.
Endnotes
1. Brown, Tina, “The Diana Chronicles,” Doubleday, 2007
2. Data.gov.uk, “GB Gambling Industry Statistics,” November 2023, https://www.data.gov.uk/dataset/e7032815-5990-4439-b5c8-8553cf5b7fdd/gb-gambling-industry-statistics-november-2023
3. United Kingdom National Crime Agency, “Money Laundering and Illicit Finance,” accessed January 2024, https://www.nationalcrimeagency.gov.uk/what-we-do/crime-threats/money-laundering-and-illicit-finance
4. Legislation.gov.uk, “Gambling Act 2005,” accessed January 2024, https://www.legislation.gov.uk/ukpga/2005/19/contents
5. Legislation.gov.uk, “Gambling (Licensing and Advertising) Act 2014,” accessed January 2024, https://www.legislation.gov.uk/ukpga/2014/17/contents/enacted
6. United Kingdom Gambling Commission, “Gambling License Information, Guidance and Advice for Businesses and Individuals,” accessed January 2024, https://www.gamblingcommission.gov.uk/licensees-and-businesses
7.United Kingdom Gambling Commission, “William Hill Group Business to Pay Record £19.2m for failures,” March 2023, https://www.gamblingcommission.gov.uk/news/article/william-hill-group-businesses-to-pay-record-gbp19-2m-for-failures
8. United Kingdom Gambling Commission, “Entain to Pay £17 Million for Regulatory Failures,” August 2022, https://www.gamblingcommission.gov.uk/news/article/entain-to-pay-gbp17-million-for-regulatory-failures
9. United Kingdom Gambling Commission, “£6m fine for online operator Gamesys,” January 2024, https://www.gamblingcommission.gov.uk/news/article/gbp6m-fine-for-online-operator-gamesys#:~:text=A%20gambling%20business%20will%20pay,Money%20Laundering%20(AML)%20failings
10. United Kingdom Department for Culture, Media & Sport, “High Stakes: Gambling Reform for the Digital Age,” April 2023, https://www.gov.uk/government/publications/high-stakes-gambling-reform-for-the-digital-age
Disclaimer
All names, companies, and incidents portrayed in this document are fictitious. No identification with actual persons (living or deceased), places, companies, and products are intended or should be inferred.