The EDD Intelligence Engine uses AI-driven profiling to take a player from initial risk trigger to completed assessment package in a fraction of the time — without shortcutting the regulatory rigour your compliance team needs.
The EDD Intelligence Engine follows a structured six-stage process — each stage automated where possible, with human oversight built in at the points where regulatory and operational judgement is required.
EDD is initiated from a VIGIL risk flag, a manual compliance referral, or an automated threshold breach (deposit velocity, session pattern, win/loss profile). Case is created with a unique reference ID, timestamp, and initiating officer attribution. The player record and all available session data are pulled automatically.
The engine cross-references verified identity documents against the player's account data, then enriches the profile with open-source data gathering — corporate registry searches, professional directories, news indexing, and property ownership data where publicly accessible.
ML-driven analysis evaluates declared source of wealth against observable lifestyle indicators, spending patterns, and publicly available wealth signals. Discrepancies are flagged with a confidence score and supporting evidence links — giving your compliance team a structured starting point for follow-up, not a blank page.
Real-time screening against OFAC, UN, EU, OFSI, and national sanctions lists. PEP identification including family members and close associates (Tier 1–3). Adverse media scan across news sources, court records, and regulatory databases — results ranked by recency, relevance, and source credibility.
All assessment inputs are consolidated into a composite risk score with a full breakdown of contributing factors, weighting, and confidence levels. A compliance officer reviews the AI-generated findings, adds narrative commentary, and confirms or escalates the assessment. The review is timestamped and attributed — creating a clear decision chain.
Confirmed assessments generate a regulatory-ready evidence package — structured to align with your AML, CTF, and CPF reporting obligations. The package includes all source data, screening results, officer commentary, risk score breakdown, and a complete audit trail. Exports directly into your AML system or compliance document management environment.
The risk model learns from your own historical assessment data — improving its weighting and flag accuracy over time based on outcomes your compliance team has confirmed, escalated, or dismissed.
Automated data gathering from public and commercial sources — company directorships, property records, professional registrations, and published financial data — cross-referenced against declared source of wealth and lifestyle indicators.
Live screening against OFAC SDN, UN Consolidated, EU Financial Sanctions, OFSI, HMT, and configurable national lists. Fuzzy matching for name variations, transliterations, and aliases. Results time-stamped for audit purposes.
Tier 1–3 PEP identification including immediate family members and known close associates. Ongoing monitoring with re-screening triggered by configurable events — account update, deposit threshold, or periodic review schedule.
Structured adverse media scanning across news archives, court records, company insolvency registers, and regulatory enforcement databases. Results are ranked by relevance and recency — not a raw search dump, but a prioritised evidence set your team can act on.
Output structured to align with your reporting obligations and evidence requirements. Configurable to your jurisdiction and regulator — UKGC, MGA, GKR, and others. The audit trail covers every decision, every source, and every officer action from case creation to final confirmation.
EDD output is structured to align with the evidence and documentation standards of the frameworks most commonly applied to regulated gambling operators.
Evidence packaged to support STR/SAR filing, KYC refresh, and ongoing monitoring obligations under UK POCA and EU AMLD frameworks.
Screening and documentation aligned to CTF reporting requirements — OFSI, HMT, and relevant national CTF legislation.
FATF Recommendation 7 compliance — proliferation financing screening against relevant UN, EU, and national sanctions regimes.
Recommendation 10 (CDD), 12 (PEP), and 22 (DNFBPs) aligned output. Configurable for jurisdiction-specific FATF mutual evaluation requirements.
Assessment data handled under Article 6(1)(c) and Article 9(2)(g) lawful bases. Data minimisation applied throughout. Retention periods configurable to your DPA.
Output structure aligned to JMLSG Part I and Part II sector guidance for casinos and remote gambling operators. Supports internal EDD policy documentation requirements.
We'll walk through a live assessment against your existing workflow and compliance framework.