The Problem
Most operators now accept that behavioural analytics, affordability and risk scoring, and self-exclusion technology are no longer nice to have, as the regulatory direction in Great Britain, Ontario, and other mature markets has made some form of automated monitoring close to unavoidable. The harder question, and the one procurement and compliance teams keep running into wherever they are licensed, is how you tell whether a given vendor’s tool actually works, because there is no single certified standard that says ‘this product correctly identifies risk’ in the way a testing lab certifies a random number generator. So teams end up assessing player protection technology the way they would assess any other software purchase, on uptime, integration cost, and sales demo polish, and whether the tool’s outputs stand up when a regulator asks why a customer wasn’t stopped sooner gets left until after the contract is signed.
That gap is not hypothetical. When the UK Gambling Commission fined ProgressPlay £1 million in August 2025, its findings were not that the operator lacked a monitoring system, but that its customer interaction framework was ‘found to be incomplete’ and that the business lacked the capability to evaluate whether its own interventions were working, on top of monitoring at sign-up the Commission judged ‘too limited’ to catch problem gambling early. The same logic applies in Ontario, where the Alcohol and Gaming Commission issued detailed guidance in June 2025 on enforcing its own monitoring standard and made clear that passive self-exclusion systems no longer satisfy what it expects from a live programme. A vendor evaluation built around evidencing and effectiveness, not just detection claims, is what closes that gap, whichever regulator ends up asking the question.
How It Actually Works
Start with what these tools are actually being asked to do, because both regulators have been specific about it in different ways. The UK Commission’s customer interaction guidance sets out an identify, interact, evaluate model, where operators use a spread of indicators, not just deposit and loss figures but time spent gambling, changes against a customer’s own previous pattern, and use of limit-setting tools. Ontario’s Registrar’s Standards work on the same principle from a different angle: Standard 2.10 requires ‘a mechanism to monitor player risk profiles and behaviours for the purpose of detecting signs of players potentially experiencing harm,’ and the AGCO’s June 2025 guidance on enforcing it names the behaviours it wants caught, repeated deposits in short timeframes, excessive session lengths, and apparent loss-chasing, then expects an escalating, time-stamped response rather than a static flag. A vendor’s scoring model has to take in that range in both markets, and a tool that is really just a spend threshold with a label on it will not satisfy either regulator’s description of what monitoring means.
The UK’s direction on financial risk checks pushes the point further. The Commission’s July 2026 announcement on staged Financial Risk Assessments confirmed a document-free approach built on net deposits, run through credit reference agencies without affecting a customer’s credit score, with a first stage £5,000 trigger in 24 hours for customers aged 25 and over, falling to £2,500 for under-25s. That is a prescriptive integration job, and Ontario has not gone that far. Gowling WLG’s mid-year review of the province’s gaming sector noted ‘no guidance has been issued yet on whether AI-based risk detection tools will be subject to future technical regulation’, leaving the algorithm less tightly specified even as the behaviours it must catch are spelled out. That gap matters for a vendor selling into both markets, since a tool built to the UK’s thresholds will generally cover Ontario’s broader mandate, but the reverse is not guaranteed.
The part that gets least attention in sales conversations is the false positive and false negative problem: flag too broadly and you alienate high value customers who are not at risk, which costs revenue and trust, flag too narrowly and you miss the person who needed help, which is the entire point of buying the tool. Coverage of Mindway AI’s GameScanner product, reported by CDC Gaming Reports in December 2025, illustrates how one vendor has tried to manage that trade-off, combining an AI model with human review from psychologists and addiction specialists, on the basis that neither the model nor a human reviewer alone gets it right consistently. The company cites independent testing by Gaming Laboratories International putting its detection rate for at-risk and problem gambling cases at around 87%, a genuinely useful figure precisely because it is an external test result rather than a marketing claim, and the kind of number every vendor should be able to produce in any market.
Underneath all of this sits the evidentiary question, and both regulators converge here even where their technical rules diverge. The UK Commission expects records covering the customer, the behaviour that prompted an interaction, what was offered, and the outcome. Ontario’s Standard 1.09 requires compliance logs retained for a minimum of three years, and Standard 4.02 requires ‘appropriate, accurate and complete records’ of play and transaction information for investigations and dispute resolution. A tool that flags risk but cannot reconstruct, without a data science team translating it, exactly why it flagged a specific customer at a specific point, will not help an operator answer either body when asked. The audit trail is not a reporting feature bolted on afterwards, it is close to the actual product, wherever you are licensed.
A Practical Way In
Five questions worth asking before signing, not instead of a full procurement process but as the ones that tend to expose the gaps fastest, wherever your licence sits:
One, can the vendor produce independently tested false positive and false negative rates, from a body like GLI or an equivalent recognised in your market, rather than only internal figures.
Two, is there a human review step for contested or borderline cases, or is the model making the final call end to end with no override built in.
Three, can you, without engineering support, pull a full audit trail for a single customer decision in a format you could hand to a regulator tomorrow.
Four, does the model use the range of behavioural indicators your regulator actually names, deposit velocity, session length, loss-chasing, pattern change, or is it primarily a spend threshold with extra labelling.
Five, what happens to your historical records and obligations if you terminate the contract, and does the vendor retain, export, or delete that data in a way you control, in every jurisdiction you operate in.
Where This Goes Deeper
None of this replaces a proper procurement process with legal and data protection input, and a five question list will not settle a six figure contract on its own. But it should stop a team mistaking a polished demo dashboard for regulatory readiness, in Great Britain, Ontario, or anywhere else a monitoring obligation applies. Building out a fuller scoring rubric, weighted against your own risk appetite, tech stack, and the mix of markets you serve, and stress testing a shortlist against real regulatory scenarios from each of them, is the kind of depth an Expert Session works through directly, and it is worth seeing whether that approach fits before you get deep into a vendor shortlist rather than after.
Sources
1. UK Gambling Commission, ‘Customer interaction: formal guidance for premises-based operators’, last updated 12 September 2022, https://www.gamblingcommission.gov.uk/licensees-and-businesses/guide/customer-interaction-formal-guidance-for-premises-based-operators
2. UK Gambling Commission, ‘Commission to introduce Financial Risk Assessments in staged approach’, 7 July 2026, https://www.gamblingcommission.gov.uk/news/article/commission-to-introduce-financial-risk-assessments-in-staged-approach
3. SBC News, ‘ProgressPlay fined £1m by UKGC for repeat compliance failings’, 21 August 2025, https://sbcnews.co.uk/sportsbook/2025/08/21/ukgc-fines-progressplay-1m/
4. CDC Gaming Reports, ‘Focus on Mindway AI: Getting ahead of problem gambling with AI expert assessments’, 2 December 2025, https://cdcgaming.com/focus-on-mindway-ai-getting-ahead-of-problem-gambling-with-ai-expert-assessments/
5. Alcohol and Gaming Commission of Ontario, ‘Registrar’s Standards for Internet Gaming’, https://www.agco.ca/en/book/export/html/245361
6. Gowling WLG, ‘Mid-year legal update: Ontario’s gaming sector, 2025 regulatory developments’, 25 July 2025, https://gowlingwlg.com/en/insights-resources/articles/2025/mid-year-legal-update-ontario-gaming-sector