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

Regulator Keynote: A Regulator’s perspective on AI

• How does the current regulatory framework support AI and is any further clarification needed?
• How is the Regulator continuing to invest in data and technology to support digital markets and responsible AI?
• What are the priorities and key messages for firms as they develop AI compliance strategies?

Panel: Navigating the frontier of agentic AI in RegTech

• What are the most promising applications and use cases for agentic AI in regulatory compliance?
• What are the data management requirements for agentic AI?
• What does a best practice governance and control framework for Agentic AI look like?
• The ‘Black Box’ on autopilot: How do you solve for explainability and accountability?
• What is the new role for the compliance professional?
• What is the most effective strategy for firms to proactively engage with regulators on their use of Agentic AI?

Keynote:

Keynote:

Panel: From blueprint to reality – Your strategic roadmap for RegTech implementation

• What are the essential elements that underpin a successful regtech implementation roll out?
• From global to local – How should compliance teams address the differences of managing regulatory divergence across jurisdictions and geographic entities?
• Tackling data integration: What are the strategies for unifying fragmented data landscapes for holistic compliance insights?
• Legacy modernisation: What progress are firms making transitioning from legacy architectures to a modular, cloud native and data centric architecture?
• Buy, build, or hybrid: How is the debate evolving considering the increasing focus on third party risk management and cyber security threats?
• Beyond technology – what are the workforce requirements and how should firms foster a culture of innovation within compliance?

Panel: The end of manual compliance?  How to build, govern and trust an AI driven regulatory change programme

• Beyond horizon scanning – How are firms successfully teaching AI to map new, unstructured regulatory text to their own specific internal controls, policies, and procedures?
• What does a robust governance framework look like for safely using AI models in the regulatory change lifecycle?
• Mapping a fragmented data landscape:  What are the foundational data management steps and strategies needed to create a machine-readable, centralised, and trustworthy library of your firm’s own obligations and controls?
• Evolving role of the compliance officer: What new skills and training are essential for compliance teams to thrive alongside these powerful new tools?

Panel: Best practices for streamlined and agile regulatory reporting

• Beyond the silos: What does a truly unified data strategy for reporting look like?
•  The ‘no-touch’ report: Is full automation a realistic goal or a costly distraction?
• With a heightened focus on transparency, how are firms developing capabilities to demonstrate end to end data lineage, including integrating automated validation controls, metadata tracking, and proactive data quality management?
• Agile in practice: How can cloud based, SaaS solutions help firms respond to regulatory change in days, not months?
• From cost centre to value driver: Can regulatory data be leveraged for business insight?
• The AI opportunity: Where can AI and Machine Learning make the biggest impact in regulatory reporting?

Panel: Addressing financial crime and AML with RegTech

Panel: The data backbone of defence – powering next generation surveillance

• What does a best practice governance framework for surveillance look like?
• Analysing false positives remains a huge operational drain.  How can data management advanced analytics sharpen the focus?
• The holistic data challenge: What are the key architectural and data integration strategies for breaking down silos to achieve a unified view across disparate datasets—trades, e-comms, voice?
• Future proofing: How should firms evolve their data management and surveillance infrastructure to manage the incoming data landscape e.g T+1 and new data types e.g. digital assets?
• AI in the trenches: What is the essential groundwork that must be laid before an organisation can realistically expect to achieve a positive ROI on its AI investments in surveillance?
• Demonstrating compliance: how do you build a defensible data story for the Regulator?

Panel: Navigating crypto and digital assets with RegTech

• What are the most critical global regulatory and policy shifts impacting crypto and stablecoins right now?
• How is AI actively transforming AML, surveillance, and fraud detection in the digital asset space?
• What data management strategies are essential for scaling compliance and reporting in the high-volume crypto environment?
• What unique compliance hurdles face traditional finance integrating digital assets, and how does RegTech bridge the gap?

Ends