XPndAI builds bespoke AML and fraud intelligence software for UKGC, MGA, and Gibraltar-licensed gambling operators. Customer risk profiling, transaction monitoring, source of funds/wealth workflows, PEP & sanctions screening, SAR drafting, NCA/FIU submission support, and full JMLSG audit evidence — in one platform. All SAR decisions and compliance judgements made by your licensed MLROs and compliance team. Source code ownership. From $60,000.
JMLSG guidance requires operators to take a risk-based approach — categorising customers by AML risk to apply proportionate due diligence. XPndAI builds an automated customer risk profiling engine: risk factors ingested at onboarding (nationality, country of residence, occupation, income declared, source of funds declared, gambling history, PEP/sanctions match) weighted into a composite risk score (low / medium / high / enhanced). Risk score dynamically updated as behaviour evolves — a low-risk customer who begins depositing beyond income level triggers risk escalation. Risk score drives CDD intensity — low risk receives standard due diligence; high risk triggers enhanced due diligence workflow. Risk score audit trail — every change, with triggering event, recorded for UKGC examination. MLRO can manually override with justification logged.
Generic transaction monitoring tools (designed for banks) do not understand gambling-specific AML typologies. XPndAI builds gambling-aware transaction monitoring: deposit velocity anomalies (multiple rapid deposits approaching thresholds — structuring indicator), withdrawal pattern anomalies (large withdrawal requests shortly after deposit — pass-through indicator), cash-out-of-wins behaviour (minimal gambling activity relative to deposits — money laundering indicator), unusual win patterns (improbably consistent outcomes — potential collusion or match manipulation), multiple payment method cycling (card + crypto + e-wallet cycling — obscuring payment trail), geography inconsistency (VPN/IP location inconsistent with declared residence), third-party payment suspicion (payment method name mismatch with account holder). Each typology configurable by the operator's MLRO to reflect their specific player profile and product mix.
When transaction monitoring triggers an AML review, JMLSG guidance requires operators to request and verify Source of Funds (where did this gambling money come from?) and, for high-value customers, Source of Wealth (how did this person accumulate their overall wealth?). XPndAI builds a structured SOF/SOW collection workflow: automated SOF/SOW request generation (WhatsApp or email, proportionate to customer risk) → document collection (payslip, bank statement, business accounts, tax returns, property sale evidence, inheritance documentation) → AI document classification and data extraction (income verification against gambling spend — does the pattern make sense?) → MLRO review queue with extracted data presented for human decision → outcome recording (satisfied / not satisfied / account restriction / SAR escalation). Full audit trail of every SOF/SOW review for UKGC examination.
Licensed gambling operators must screen customers against Politically Exposed Person (PEP) lists and sanctions lists (HM Treasury/OFSI, UN, EU, OFAC) — both at onboarding and continuously. XPndAI integrates with commercial screening data providers (Refinitiv World-Check, Dow Jones Risk & Compliance, LexisNexis Bridger, ComplyAdvantage, Acuris/ICIJ — operator chooses preferred provider; XPndAI builds the integration) and adds a gambling-specific case management layer: PEP/sanctions match alert → human reviewer workflow → false positive dismissal (with justification logged) → confirmed match enhanced due diligence → MLRO decision → case closure. Continuous re-screening (daily or on-trigger) against updated lists. PEP and sanctions match audit trail structured for UKGC review.
When an MLRO decides that a suspicious activity warrants a Suspicious Activity Report, the SAR must be submitted to the National Crime Agency (UK) or relevant FIU. XPndAI builds an AI-assisted SAR drafting and submission workflow: case consolidation (all customer data, transaction data, SOF/SOW review, PEP/sanctions results, investigation notes — assembled into a single SAR case file) → AI-assisted SAR narrative drafting (structured per NCA SAR guidance — who, what, why suspicious, when, how — draft produced for MLRO review and editing; MLRO makes all judgement calls and approves every SAR) → pre-submission review workflow → NCA/UKFIU submission audit trail → Defence Against Money Laundering (DAML) request management → case closure with outcome tracking. All SAR decisions remain the MLRO's responsibility; AI provides drafting assistance and workflow management only.
The MLRO needs management information and the UKGC needs structured evidence at audit. XPndAI builds both: MLRO dashboard (live overview — alerts queue, cases in progress, SAR pipeline, risk distribution across player base, SOF/SOW completion rate), MLRO annual report generation (AML risk assessment update, transaction monitoring performance, SAR count by typology, SOF/SOW review outcomes, training completion — structured for Board reporting), UKGC audit evidence package (AML risk assessment document, transaction monitoring calibration evidence, PEP/sanctions screening evidence, SOF/SOW decision sample, SAR log and NCA submission evidence, staff training records). Evidence package structured to address UKGC's published AML examination framework so auditors can verify compliance efficiently without lengthy information requests.
Banking AML platforms (Actimize, Temenos Financial Crime, Oracle Financial Services) are calibrated against banking transaction patterns — salary credits, utility payments, international wires. Gambling transactions look entirely different — rapid deposits, frequent withdrawals, bonus-triggered activity, seasonal betting spikes. A generic tool produces massive false positive rates on gambling platforms and misses gambling-specific typologies (cash-out-of-wins, third-party payments, withdrawal cycling). XPndAI builds transaction monitoring calibrated specifically to gambling operator data, reducing false positives while capturing genuine gambling-specific AML indicators.
The Joint Money Laundering Steering Group publishes sector-specific guidance for gambling (Part II, Sector 15). This guidance specifies gambling-unique AML requirements — the risk factors specific to gambling (product type risk, customer profile risk, delivery channel risk), the enhanced due diligence triggers specific to gambling (high deposit velocity, large cash equivalent wins), and the documentation standards specific to gambling operators. XPndAI's gambling AML platform is built against JMLSG gambling sector guidance rather than generic banking AML frameworks — ensuring that the system addresses the specific regulatory expectations your UKGC examiner will assess against.
The Joint Money Laundering Steering Group (JMLSG) publishes guidance that sets the standard UK gambling operators are expected to meet under the Proceeds of Crime Act 2002 (POCA) and the Money Laundering Regulations 2017 (MLR17). Key requirements for gambling operators in JMLSG Part II Sector 15: (1) Business-wide AML risk assessment — operators must assess the ML/TF risks specific to their business (products, customers, geographies, payment channels) and document this assessment; (2) Risk-based customer due diligence — customers must be risk-rated and CDD applied proportionately (SDD for low-risk anonymous single bets; standard CDD for account holders; EDD for high-risk customers); (3) Enhanced due diligence — high-risk customers (high deposit volume, PEP, unusual patterns) must receive EDD including SOF/SOW verification; (4) Ongoing monitoring — customer behaviour must be monitored on an ongoing basis, not just at account opening; (5) Transaction monitoring — operators must have systems to detect unusual activity patterns consistent with money laundering typologies; (6) SAR reporting — operators must have an internal SAR procedure, a nominated MLRO, and a Defence Against Money Laundering (DAML) process; (7) Staff training — all relevant staff must receive AML training proportionate to their role. XPndAI's gambling AML platform addresses all of these with automated workflows and audit evidence, while ensuring that all compliance judgements and SAR decisions remain the responsibility of the MLRO and compliance team.
XPndAI's SAR workflow is designed as a decision-support and case management tool — not a decision-making system. The platform: (1) Collects and presents all relevant information — transaction history, SOF/SOW documents, PEP/sanctions results, typology triggers, prior investigation notes — in a structured case view so the MLRO has complete information to make an informed decision; (2) AI drafts a SAR narrative following NCA guidance structure (who, what, when, why suspicious, value) based on the case data — the MLRO reads, edits, approves, and takes ownership of every SAR before submission; (3) Manages the submission workflow — records the submission date, NCA reference, any DAML request, and outcome; (4) The MLRO is responsible for: determining whether a SAR is required, approving the content of every SAR submitted, and all compliance judgements. This design reflects the legal position that the MLRO carries personal liability under POCA for AML compliance decisions, and no software system can or should substitute for that professional judgement. XPndAI makes the MLRO more efficient and better-informed; the MLRO remains responsible for every decision.
Tell us your licence jurisdiction, platform type, transaction volume, and current AML gap (UKGC audit finding, pre-examination preparation, new product launch, MLRO change). We scope and demo within 5 business days.
XPndAI · Gambling AML & Fraud Intelligence Software · JMLSG / UKGC / MGA / Gibraltar Aware · Source Code Ownership · From $60,000 · +91-9625368140