Discai

2026 is the preparation year for AMLA. AMLR becomes directly applicable in July 2027. AMLA direct supervision begins in 2028. Yet, the standards, technical guidance and supervisory methods are being developed now. For obliged entities, 2026 is the moment to get ready. The implications of AMLA are significant. ✔️ Risk assessments need to become easier to evidence; more consistent, data-rich and auditable. ✔️ CDD needs tighter links between KYC, customer risk scoring and transaction monitoring. ✔️ AML data needs stronger lineage, ownership and quality controls, because poor data quality will become a supervisory weakness. ✔️ Governance needs to show active senior oversight, not just formal approval of AML policies. For cross-border institutions, AMLA may simplify supervision in the long term, but the preparation effort is higher. Its methodology will make differences between entities, countries and control environments easier to compare. Local interpretations will become more visible at EU level. Institutions that use 2026 wisely can benchmark their AML operating model against the new requirements and identify where changes are needed: in policies, data, controls, and accountability. Learn how to prepare here: https://lnkd.in/ekPQvzki

Meet Nele Vanbiervliet, Customer Success Lead at Discai. With over 20 years of experience leading large-scale transformation and implementation projects across financial services, she has seen where projects gain momentum, where they stall and what it takes to go from initial interest to operational impact. "AML modernisation is much broader than a software decision. Success depends on bringing together technology, governance, data and importantly, people, in a way that fits the company’s operating model." The receipe for success sounds straightforward, yet many financial institutions hesitate to innovate. ▫️ What do organisations underestimate? ▫️ Why is governance just as important as tech? ▫️ How fast can an AML PoC go live? ▫️ What is needed to get started? "In most cases, organisations are much closer to being implementation-ready than they initially assume." What about yours? Read more on Nele's experience on AML transformation, and what's blocking financial institutions from starting their first PoC. 👉 https://lnkd.in/eqnPVNzs

👉 How much privacy risk are you prepared to accept for better information sharing? 👉 How much operational cost will you carry for alerts that add little investigative value? Your AML programme is already making trade-offs. But are they being made deliberately, or hidden inside legacy systems? AMLA won’t remove the trade-offs. AI won’t make them disappear. Better data won’t decide them for you. If banks want AML to become more effective, leadership needs to define (and own) the trade-offs behind their strategy. Read our perspective, informed by conversations with senior FinCrime leaders across leading Dutch and Belgian banks https://lnkd.in/eS72MhpP

In a market flooded with bold claims, momentum is measured differently. Discai moves up in Chartis' FCC50 2026, the leading ranking of financial crime & compliance technology providers, and wins the Regional Excellence Award: Emerging Europe. For Discai, these milestones reflect something bigger than rankings: real traction with financial institutions who need AI that works, not AI that just sounds good.

Leadership in AML means embracing innovation. What do financial executives need to know about anti-money laundering? From regulatory challenges to AI-driven solutions, discover how leaders are aligning people, technology and governance processes to reduce costs and improve AML outcomes worldwide. Expect… ✓ Data-driven insights ✓ Expert interviews ✓ Strategic guidance The full report reveals how financial institutions worldwide balance AI innovation with rising regulatory demands, and reveals best practices to upgrade your institutions AML framework and processes. Download the 60+ page whitepaper now: https://lnkd.in/ev4mjgg7

A hybrid approach to AML with measurable impact? Discai’s proven KYT AML solution was developed in-house by KBC Group. Combining AI- and rule-based solutions, it offers the best of both worlkds. The solution speeds workflows, reduces false alerts, and ensures stronger compliance. Validated with real banking data, it adheres to the most robust data privacy regulations possible. Want to experience its real ROI potential? Book a demo now: https://lnkd.in/etf-ed-G