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
  Scaling AML in an Unmanageable World
  --Can AML keep up with rising volume and complexity?
  --Are we reaching a “too big to monitor” point?
  AI and Automation — Game Changer or Risk?
  --Can AI improve detection and cut false positives?
  --How do we ensure trust and accountability?
  The Changing Compliance Team
  --What new skills will compliance need?
  --How do we balance human and machine insight?
• 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

• SymphonyAI: The Human + Machine Alliance: Reinventing Financial Crime Programs with AI
  This roundtable will examine how the partnership between human expertise and artificial intelligence is redefining financial crime compliance. Discussion will focus on: 
  --how AI can enhance decision-making, streamline investigations, and improve risk coverage—while still relying on human judgment for ethical oversight and contextual understanding
  --best practices for integrating AI into existing compliance frameworks, from model governance and explainability to workforce transformation and upskilling
  --how agentic automation can enhance effectiveness and risk coverage via proactive threat identification and detection

• 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

• Minerva: Engaging Regulators on AI-Enabled AML: Use Cases, Governance and Demonstrating Compliance
  This roundtable will explore how to engage supervisors early, how much transparency is enough, and what “defensible” actually looks like in practice. We’ll compare notes on what people are telling their regulators when they introduce AI, how they’re documenting explainability and human oversight, and which AI/ML use cases feel safest to socialize versus those that still need more maturity.
  The goal: leave with practical ways to show that AI is enhancing, not weakening, your AML program.

• Nasdaq Verafin: Beyond the Firewall: Strengthening Fraud Defenses in a Connected Financial Ecosystem
  Understand the Multi-Layered Nature of Cybersecurity in Banking:
  Explore how financial institutions must defend both internal infrastructure and customer-facing systems—and why many fraud threats originate outside traditional cybersecurity perimeters.
  Learn How Consortium Intelligence Enhances Fraud Detection:
  Discover how shared signals across institutions—biometrics, behavioral analytics, and real-time data—create a stronger, more accurate defense against account takeover and money mule networks.
  Explore the Role of Trusted Partnerships in a Secure Ecosystem:
  Gain insights into the shared responsibility model between banks and vendors, and why cybersecurity standards across all partners are critical to maintaining trust and resilience.