Opening and Welcome
Andrew Delaney, President and Chief Content Officer, A-Team Group

Opening keynote: AI, operational resilience and the future of financial stability

• What are the implications of AI and interconnected digital infrastructure for financial stability?
• Why is operational resilience increasingly a system-wide responsibility?
• How is supervision evolving in increasingly real-time financial ecosystems?
• How can AI enhance resilience while also creating new systemic vulnerabilities?
• What role do collaboration, intelligence-sharing and collective action play in strengthening resilience across the sector?
• How should firms prepare for the next generation of operational, cyber and technology-driven risks?

Liz Oakes, External Member, Financial Policy Committee, Bank of England

Panel: The evolution of AI in regulatory compliance

• How are firms moving AI from pilot projects into scaled, production-grade compliance workflows?
• What does the rise of agentic AI mean for autonomy, decision-making and human oversight in regulatory compliance?
• How are organisations transitioning from periodic reporting to real-time, always-on compliance models?
• What governance, model risk and explainability frameworks are required as AI systems take on greater responsibility?
• How are regulatory expectations evolving in response to increased AI adoption within compliance functions?
• How will AI-driven, real-time compliance reshape operating models, skillsets and accountability across the enterprise?

Moderator: Andrew Delaney, President and Chief Content Officer, A-Team Group
Marili Anderson, Head of Compliance UK, Money Laundering Reporting Officer (MLRO), Rabobank London Branch
Sarah-Rose Perry, Head of Compliance and MLRO, BTIG
Vall Herard, CEO & Founder, Saifr
Fahreen Kurji, Chief Customer Intelligence Officer, Behavox

Keynote: Ensuring accurate, complete and timely reporting in the era of data-driven supervision

Andrew Pinnington, Chief Customer Officer, Novatus

A-Team Group Research Report Update

Andrew Delaney, President and Chief Content Officer, A-Team Group
Mark Davies, Partner, Element22

Panel: Unifying data, standards and AI for data consistency

• How are firms responding to increasing regulatory scrutiny around data quality, controls and reporting accuracy?
• How can AI-driven data quality (AIDQ) solutions move beyond simple rule validation to improve consistency across disparate systems?
• What are the architectural trade-offs between a centralised data repository and a virtualised single source of truth?
• How can firms leverage standards such as the Common Domain Model (CDM), UPI and LEI to improve data consistency and reduce compliance costs?
• What are the most effective approaches for aligning fragmented legacy data with global standards and reporting requirements?
• How does strong data governance, including a consistent Client Master record, help reduce reporting errors across mandates such as MiFID II and SFTR?

Moderator: Chad Giussani, Independent RegTech Advisor
Dawd Haque, Market Initiatives, Regulatory Transformation & Strategy, Deutsche Bank
Hussain Abdullah, Director, Data & Regulatory Operations, Citigroup
Stephanie Rubizhevsky, Chief Solutions Officer, Novatus

Panel: Building the agile architecture for real time reporting

• What is the modern calculus for choosing cloud-based managed services over maintaining in-house reporting engines?
• How can firms use APIs to ensure resilient data submission and manage external connections effectively?
• How do low code platforms empower operations teams to implement rule changes without lengthy IT development?
• What are the primary security and resilience considerations when migrating reporting infrastructure to the public cloud?
• How should firms conduct vendor due diligence to manage concentration risk and ensure operational resilience?
• Which architectural components are necessary to support high volume reporting for near real time mandates?

Moderator: Nilesh Khatri, Former Director, Macquarie Bank
Michelle Yogarajah, Former MD Head of Controls and Regulatory Change Global Markets, TD Securities

Keynote: available for sponsorship

RegTech Summit London Innovation Spotlight

Discover the next generation of RegTech innovation as emerging technology providers each take to the stage for a 5 minute showcase. From AI and regulatory reporting to surveillance, financial crime and data management, each company will demonstrate how they’re solving real-world compliance challenges.

Submit your entry here and email denise@a-teamgroup.com with any questions.

Panel: Managing unstructured data in compliance: From regulatory noise to actionable Intelligence

• How are firms extracting value from unstructured data such as regulations, policies, communications and reports?
• How can AI and NLP help identify, interpret and prioritise regulatory change?
• How are organisations reducing noise and focusing on the regulatory updates that matter most?
• What are the biggest challenges in managing unstructured data across multiple jurisdictions and business functions?
• How can firms turn regulatory intelligence into automated workflows, controls and reporting processes?
• What governance and oversight frameworks are needed as AI takes on a greater role in compliance decision-making?
• How are the roles of compliance, risk and data teams evolving in an AI-enabled operating model?

Moderator Katsuko Ishizeki-Chaudhari, Independent Regulatory Consultant & Former Managing Director, Bank of Montreal London Branch and BMO Capital Markets Ltd.
Niresh Rajah, Expert Chief Data & AI Officer, Board Advisor/NED

Panel: The Surveillance arms race: AI-driven trade and market abuse detection

• Beyond Rule-Based Alerts: How do machine learning models identify subtle layering or spoofing patterns that traditional static thresholds consistently miss?
• Contextual Trade Surveillance: How can firms integrate market news and social media sentiment e.g., StockPulse to provide the intent behind a suspicious trade?
• Cross-Asset & Cross-Border Monitoring: What are the technical challenges of unifying surveillance across fragmented asset classes to detect sophisticated, multi-leg market abuse?
• Explainable AI (XAI) for Regulators: How can compliance teams show the working of a complex ML model when a regulator asks why a specific trade was or was not flagged?
• Reducing Alert Fatigue: What strategies are most effective for using AI to triage alerts, allowing human investigators to focus on high-risk, high-probability cases?
• TBML & Trade Finance: How is AI being used to detect Trade-Based Money Laundering by identifying cargo anomalies and vessel behavior deviations?

Jason Shiu, Compliance Manager, Surveillance, Vanguard Asset Management Ltd
Rav Kohli, Independent Market Surveillance Consultant, formerly Global Head of Surveillance Technology, TP ICAP

Champagne Roundtables

Join a roundtable discussion for a deep-dive, interactive discussion with your peers on some of the day’s most important themes. Address common problems, benchmark your progress and come away with practical solutions and takeaways!

1: From regulatory obligation to strategic advantage: Scaling AI in compliance operations

• How are firms moving AI initiatives from isolated compliance pilots into enterprise-wide regulatory operations?
• Which regulatory compliance use cases are delivering the clearest operational and business value today?
• What governance, accountability and control frameworks are needed to scale AI safely in regulated environments?
• How are firms measuring the effectiveness, efficiency gains and risk reduction of AI-enabled compliance programmes?

2: The future of regulatory reporting: Can firms achieve a golden source of data?

• Is a true golden source of regulatory data achievable, or should firms focus on federated models?
• How can firms improve lineage, traceability and reconciliation across reporting frameworks?
• Where can AI add the most value in identifying reporting anomalies and data quality issues?
• What lessons have firms learned from large-scale regulatory reporting transformation programmes?

3: Perpetual KYC and the evolution of digital identity

• How are firms transitioning from periodic reviews toward continuous, risk-based KYC models?
• What tools are proving most effective in detecting synthetic identities and deepfake-enabled fraud?
• How can firms improve entity resolution and UBO transparency across complex global structures?
• How do organisations reduce onboarding friction without weakening AML and identity controls?

4: The surveillance arms race: AI, market abuse and alert fatigue

• How are firms using behavioural analytics to improve trade surveillance effectiveness?
• What strategies are delivering the biggest reductions in false positives and alert fatigue?
• How can firms demonstrate explainability and governance of AI surveillance models to regulators?
• What are the challenges of integrating communications, market and trading data for contextual surveillance?

5: Governing AI in financial services: What will regulators expect?

• What governance frameworks are firms putting in place for AI-enabled decision making?
• How can organisations balance innovation with explainability, fairness and auditability?
• How are firms preparing for evolving UK and global AI regulatory expectations?
• What does effective model validation and ongoing AI monitoring look like in practice?

6: The evolving role of the risk and compliance professional in the AI era

• How are AI and automation reshaping the responsibilities of risk and compliance teams?
• What new skills and capabilities will compliance professionals need to remain effective in AI-enabled environments?
• How can firms balance human judgement with increasingly automated decision-making and controls?
• How should organisations rethink operating models, team structures and collaboration between compliance, technology and data functions?

Event ends