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www.complyadvantage.com AN INTRODUCTION TO COMPLYADVANTAGE Automated Screening at The worlds only dynamic, real-time 1 Policy Quote and/or Bind database of people/companies that pose financial crime risk Proactive Monitoring of Policy

  1. www.complyadvantage.com

  2. AN INTRODUCTION TO COMPLYADVANTAGE Automated Screening at The world’s only dynamic, real-time 1 Policy Quote and/or Bind database of people/companies that pose financial crime risk Proactive Monitoring of Policy Next generation screening and 2 Holders for Sanctions/AML Risk monitoring technology to automate and comply with Sanctions & AML Claims Investigation to Spot Built and curated by Compliance Hidden Fraud/AML Risks and Risk professionals Powered by Artificial Intelligence Transaction Monitoring and Machine Learning to Identify Suspicious Claims SEPTEMBER, 2017 OCTOBER, 2017 2

  3. AGENDA 1. An overview of why today’s attempts to stop money laundering and comply with regulations are often ineffective 2. How ComplyAdvantage is empowering compliance and risk professionals to fight back using AI and machine learning SEPTEMBER, 2017 OCTOBER, 2017 3

  4. THE CURRENT SYSTEM IS BROKEN Every year, criminals use the financial system to launder billions of $$$ In response, the financial industry spends billions of $$$ on software and people 1-3% But only a tiny fraction is stopped SEPTEMBER, 2017 OCTOBER, 2017 4

  5. THE CHALLENGE IS GETTING HARDER The volume of external and internal data is increasing exponentially Most of the value and insight is in unstructured data that is hard to process The infrastructure of legacy systems is not designed to cope SEPTEMBER, 2017 OCTOBER, 2017 5

  6. AT THE HEART, LIES A DATA & ANALYTICS PROBLEM Poor Ineffective + = Noise + Cost data analytics SEPTEMBER, 2017 OCTOBER, 2017 6

  7. SOME EXAMPLES… GLOBAL INSURANCE LIFE INSURANCE MARINE INSURANCE GROUP BROKER BROKER • 10s millions customers • Millions of existing • Struggling to identify customers to rescreen risk signals at claims • Unable to tailor screening • Small team of 3 • Frustrated at better to risk based approach result from ‘googling’ • Team swamped by huge • Can’t distinguish risk • Unable to automate volume of false positives from noise • Passive API results in • Only solution to do • Time consuming to painful inefficient process virtual exact match remediate every article INEFFICIENT ONBOARDING INEFFECTIVE MONITORING WEAK CLAIMS DECISIONS FALSE POSITIVES FALSE NEGATIVES HIDDEN RISKS SEPTEMBER, 2017 OCTOBER, 2017 7

  8. A DYNAMIC, REAL-TIME DATABASE OF 1. ENTITIES THAT POSE FINANCIAL CRIME RISK • Monitor global data sources 24/7 • Rapidly identify risky people/companies • Build rich structured profiles to facilitate identity matching • Enrich these with media snippets, pictures, etc. • Analyse web of connections Built and curated by Compliance and Risk professionals • Categorise risks by stage, age and type • Update every profile every day Powered by Artificial Intelligence and Machine Learning SEPTEMBER, 2017 OCTOBER, 2017 8

  9. CUSTOMER SCREENING AT QUOTE, BIND 2. & CLAIMS AND ONGOING MONITORING Minimise false positives: “ We saw an 84% decrease in • Contextual ‘identity match’ (not a static False Positive alerts due to rules-based ‘name match’) “ tailoring our criteria to what • Tailor screening to your risk based approach we would like to see. with highly configurable search profiles Regulated FTSE 100 Company • System learns through usage and gives the user control to refine approach “ We have reduced our manual • Highly configurable proactive monitor alerts work by 70% - which allows us “ Spot hidden risks: to focus our time on more thorough investigations. • With the efficiency gains, widen the net and screen against more risks Online Trading Platform SEPTEMBER, 2017 OCTOBER, 2017 9

  10. HOW BETTER TECHNOLOGY CAN HELP • Flexible deployment – manual search, spreadsheet upload or seamless integration into systems • Improve cross team communication flow: • Layered rights/privileges with allocation rules and search parameters dependant on interaction stage • Front-end Brokers = summary data vs Underwriters = enhanced data and decision-making capabilities • Multi-directional API – e.g. take a decision within our interface and the remedial decision can be pushed back in to the claims system • Highly targeted proactive alerts focused on real risks – triggers in internal system or emailed to the user • Behavioural monitoring to spot activity as it happens SEPTEMBER, 2017 OCTOBER, 2017 10

  11. OVER 200 FIRMS ACROSS THE GLOBE RELY ON OUR AML DATA AND TECHNOLOGY Talk to us to learn more about how we can help institutions across the insurance sector: » Insurers » Reinsurers » Brokers » Managing Agents » Consumer » Business » Specialist Product Lines SEPTEMBER, 2017 OCTOBER, 2017 11

  12. THANKS FOR YOUR TIME – ANY QUESTIONS? More Better We partner Better AML efficient technology with you Better AML data & platform data & insights insights Far-reaching Easy to implement Passionate Easier to use Real-time Flexible REST API Agile Risk-based approach Rich No legacy tech debt Responsive Learns from decisions Reliable Fewer false positives SEPTEMBER, 2017 OCTOBER, 2017 12

  13. GET IN TOUCH TO LEARN MORE ComplyAdvantage UK ComplyAdvantage USA +44 (0)20 7834 0252 +1 (646) 844 0841 contact.uk@complyadvantage.com contact.usa@complyadvantage.com www.complyadvantage.com OCTOBER, 2017 SEPTEMBER, 2017 13

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