Artificial intelligence is moving into live compliance workflows. That shift raises immediate questions about control: how much authority firms should give AI systems, where human review must remain, and how compliance teams can explain automated decisions to regulators and senior management.
These issues will shape the agenda at RegTech Summit London on 1 October 2026. Hosted by A-Team Group at etc.venues, 8 Fenchurch Place, the event will bring together regulators, financial institutions and technology providers to examine how firms can put new compliance capabilities into production without weakening governance, reporting quality or operational resilience.
AI Enters the Operating Model
Many firms have tested AI through narrow use cases and controlled pilots. Production deployment carries a different set of demands. Models must work with approved data, operate within defined limits and produce records that support review, challenge and audit. Firms also need clear ownership when an automated process produces an incorrect result or fails to identify a material risk.Agentic AI adds another layer. Systems that can plan tasks, call other tools and act across workflows may accelerate regulatory analysis, alert triage and reporting processes. Greater autonomy also increases the number of decisions that firms must govern. Controls need to define what an agent can access, which actions require approval and when a case must pass to a person.
The panel on “The evolution of AI in regulatory compliance” will examine how firms are moving from pilots into production-grade workflows. Speakers will consider agentic AI, explainability, model risk and human oversight, alongside the effect of real-time compliance on skills and accountability. Panellists include compliance leaders from Rabobank London Branch and BTIG, with specialists from Saifr and Behavox.
Always-On Compliance Depends on Data
AI cannot compensate for incomplete records, inconsistent identifiers or weak lineage. These faults can move through automated processes quickly, affecting regulatory submissions, surveillance alerts and management information. Firms pursuing near-real-time compliance therefore need to treat data governance as part of the control framework.
The summit’s regulatory reporting sessions will focus on that connection. A keynote on accurate, complete and timely reporting will consider how regulators use data analytics to find anomalies and control weaknesses. It will also address the practical steps firms can take as supervision becomes more data-driven.
A later panel will examine how standards and AI can improve consistency across fragmented systems. Its agenda covers the Common Domain Model (CDM), Unique Product Identifier (UPI) and Legal Entity Identifier (LEI), as well as the choice between centralised repositories and virtualised sources of truth. These are operating decisions with direct consequences for reconciliation, traceability and reporting cost.
Architecture is part of the discussion. The panel on agile architecture for real-time reporting will cover application programming interfaces (APIs), managed services, public cloud security and vendor concentration risk. It will consider the components required to process high reporting volumes while keeping external connections resilient.
Resilience Becomes a System-Wide Concern
As firms connect more models, data services and external platforms, a single failure can travel far beyond a single application. The opening keynote from Liz Oakes, External Member of the Bank of England’s Financial Policy Committee, will place AI within this wider context.
Oakes will address the implications of AI and interconnected digital infrastructure for financial stability. Her keynote will also examine how supervision is changing, how AI may support resilience and where it may create new vulnerabilities. Collaboration and intelligence-sharing will form part of the discussion, reflecting the dependencies between firms, service providers and market infrastructure.
The agenda carries these themes into the afternoon. Sessions on unstructured data and AI-based trade surveillance will examine governance in regulatory change workflows, explainable models, cross-asset monitoring and alert triage. Champagne Roundtables will give attendees a smaller forum to compare approaches to AI governance, regulatory reporting, surveillance and the changing roles of compliance practitioners.
Compare your plans with peers, regulators and technology providers at RegTech Summit London on1 October 2026 at etc.venues, 8 Fenchurch Place, London. Check out the full agenda and register HERE.
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