Collaborative small group chats and problem-solving with this year's Sponsors:

• Hummingbird: Compliance Rewired: Navigating the Journey from Legacy Silos to Orchestrated Intelligence
  Compliance teams don’t lack ambition – but they don't have the benefit of a level playing field. They’re hampered by fragmented systems, manual handoffs, and tech debt.
  In this discussion, Hummingbird CEO Joe Robinson will help attendees chart a practical roadmap for transforming a compliance program into something more modern and flexible. In particular, Joe will discuss strategies for modularization, data integration, and AI implementation. The roundtable will deliver real-world insights on how to shift from reactive “case chasing” to proactive oversight.
• SAS: The Compliance Chasm: Bridging AML Gaps in Global Correspondent Networks​
• Castellum.AI: AI Agent Use Cases - How to Get Immediate ROI

  --AI Agents Deliver Measurable ROI: Domain-specific agents can reduce compliance workloads by up to 94% through automated alert adjudication, enhanced due diligence, and SAR filing — without requiring system replacement.
  --Real-Time, Explainable Automation: Agents should leverage continuously refreshed global risk data and integrate seamlessly for rapid ROI.
  --Proven Business Impact: Work with proven agentic partners delivering measurable results, not just chatGPT wrappers.

• Silent Eight: Too Big to Monitor? AML in the Age of Real-Time Payments
• FinScan: Who are you? Technology eKYC and pKYC Trends and Best Practices for 2026

  --Shift from periodic, scheduled checks to event-driven models based on changes in a customer's behavior, product usage, or data.
  --Create unified compliance engines that map varying cross-border regulatory requirements into a single workflow
  --Leverage AI, enhanced verification and remote onboarding to spot risky patterns and create better customer experiences

• Quantifind: Purpose-Built AI in Financial Crime: Cutting Through the Hype to What Really Works

  A candid, interactive discussion exploring real-world examples, lessons learned, and practical approaches to adopting purpose-built AI responsibly.
  --The shift from generic AI models to purpose-built intelligence engineered for financial crime detection, compliance, and investigation.
  --Agentic vs. Non-Agentic AI: What the evolution from task-based models to autonomous reasoning systems means for risk detection, false-positive reduction, and investigator enablement.

• CUBE3.AI: Operationalizing verified scam data: How to integrate it into decisioning, rules, and controls

• Nasdaq

• SymphonyAI

• Minerva