Carrie Stephens

AI isn't just for your marketing team - fraudsters are using it, too. 🤖 Specifically, they’ve moved from manual "guesswork" to automated promo code abuse. If you haven't updated your fraud prevention strategy this year, you're likely leaving money on the table. Check out the video for the full breakdown. 📺 Have you noticed more "bot-like" behaviour in your checkout lately?

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🔍 Solving Compliance Problems Before They Become Findings In my career, I’ve learned that effective Compliance isn’t about policing, it’s about building systems that prevent issues long before regulators or auditors find them. Here are the core compliance problems I solve, and how I approach them: ✅ 1. Fragmented AML/CFT Processes Across Jurisdictions Solution: Standardized frameworks, harmonized policies, and unified risk scoring so every territory operates with the same level of discipline and regulatory alignment. ✅ 2. KYC Backlogs & Inconsistent Reviews Solution: Streamlined onboarding workflows, risk-based review cycles, and targeted training to improve quality while reducing turnaround time. ✅ 3. Weak Reporting & Data Integrity Gaps Solution: Strengthened internal controls, cleaner extracts, improved exception tracking, and enhanced collaboration with ICT to fix issues at their root. ✅ 4. Fire-fighting Instead of Risk Forecasting Solution: Embedding a proactive compliance culture, where monitoring, testing, and risk assessments don’t just satisfy regulators, but protect the institution’s reputation. ✅ 5. Compliance Seen as a Barrier, Not a Partner Solution: Clear communication, staff training, and practical guidance that make compliance simple, explainable, and achievable for the first line. 🌟 My Compliance Philosophy Compliance should make business safer, faster, and smarter, not slower. My goal is always to create frameworks that support growth while safeguarding integrity.

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Keys To Corporate Fraud Investigations   "Fraud never rests, and neither should you.   Corporate fraud isn’t always dramatic – it’s often quiet, calculated, and deeply embedded in organizational processes.   From overstated revenues to insider trading, the mechanics can vary, but the catalysts remain eerily consistent: pressure, opportunity, and rationalization.   Understanding this “fraud triangle” can empower teams to spot the red flags before they escalate.   Advanced analytics and proactive auditing are no longer optional.   Today, successful companies are using predictive modeling, machine learning, and cultural auditing to identify vulnerabilities before they’re exploited.   Fraud thrives in shadows; so, let’s shine a light with smarter systems, sharper policies, and bold accountability.  

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