A compliance system delivers value when it helps a firm decide what to do next.
That remains difficult when the evidence sits across internal policies, siloed data and external intelligence. AI can handle the volume and diversity, but faster analysis does not guarantee a better compliance decision. Firms still need to establish why an alert matters, which control it affects and who is accountable for the process and outcome.
These practical questions will shape A-Team Group’s RegTech Summit London on 1 October 2026. Now in its tenth year, the summit will bring together compliance practitioners, regulators and technology specialists at etc.venues, 8 Fenchurch Place. This year’s agenda moves from AI governance and regulatory reporting into the operational problems surrounding unstructured data, surveillance and financial crime.
Finding the Signal in Unstructured Data
Compliance teams receive a constant flow of regulatory publications, policy updates, internal documents, reports and communications. But volume is only part of the problem. Firms must determine which information is relevant, connect it to existing obligations and convert the result into changes to policies, controls and workflows.
AI and natural language processing (NLP) can help identify and prioritise relevant material, but the more demanding work begins once those systems influence compliance decisions. Firms need to preserve sources, document how the system reached its conclusion and show where a person reviewed or challenged the result.
The panel on managing unstructured data will examine how firms can move from regulatory noise to actionable intelligence. It will also consider the difficulties of working across jurisdictions and business functions, where the same publication may have different consequences for different parts of a firm.
The discussion will bring together Niresh Rajah, Expert Chief Data and AI officer and board adviser/NED; Chris Beevor, Chief Compliance Officer at SEI; and Bamidele Aly, Former Automation and Innovation SME & UK AI Ambassador Co-Lead, Tier 1 Bank. Katsuko Ishizeki-Chaudhari, Independent Regulatory Consultant and former Managing Director at Bank of Montreal, will moderate.
Surveillance Needs Context
Trade surveillance presents a related challenge. Static thresholds can identify known patterns, but sophisticated abuse may be distributed across asset classes, execution venues and jurisdictions. A single order may appear unremarkable until it is considered alongside related trades, market movements, communications or external events.
Machine learning can help connect those signals and prioritise cases. Yet a complex model creates its own control questions. Investigators need to understand why a case was escalated. Compliance teams must also explain why comparable activity was not flagged.
Reducing alert volumes is therefore a limited measure of success. The more useful test is whether the system sends investigators better cases without creating new blind spots.
The summit’s surveillance panel will examine layering and spoofing, cross-asset monitoring, contextual market intelligence and explainable artificial intelligence. It will also consider how firms can reduce alert fatigue while keeping human investigators focused on activity carrying the greatest risk.
Jason Shiu, Compliance Manager for Surveillance at Vanguard Asset Management, and Rav Kohli, formerly Global Head of Surveillance Technology at TP ICAP, will bring practitioner and technology perspectives to the discussion.
Financial Crime Risks Cross Organisational Boundaries
The same fragmentation affects anti-money laundering, fraud, cyber risk, sanctions and client due diligence. These functions may investigate different aspects of the same behaviour while working with separate data, case-management tools and escalation processes.
Synthetic identities and deepfake-enabled fraud add pressure to that model. Detecting them may require a holistic view over client records, device information, communications and transactions. Firms also need accurate entity resolution and beneficial-ownership information to understand the people and organisations behind complex structures.
Several of the summit’s Champagne Roundtables will address these connections. Discussions will cover perpetual KYC controls, digital identity and the barriers separating AML, fraud and cyber teams. A further session will examine how AI can improve the detection and prioritisation of suspicious activity without weakening human judgement.
Pallavi Kapale, Senior Financial-Crime Officer in the Financial Intelligence Unit at Bank of China, will host the discussion on breaking organisational silos. The roundtable format will allow practitioners to compare how their firms share information, coordinate investigations and govern decisions spanning several control functions.
Governance Moves into Daily Work
Policies and principles are only the starting point for AI governance. Firms must translate them into permissions, approval stages, monitoring requirements and escalation routes that work inside live compliance processes.
That includes deciding which tasks can be automated and where a person must remain responsible. It also requires firms to reconsider the skills expected of compliance professionals. Teams may spend less time collecting and sorting information, but more time challenging automated conclusions and investigating exceptions.
Two roundtables will address these questions directly. Rob Knight, President of the UK Chapter of the Global Council for Responsible AI, will host a discussion on the changing role of risk and compliance professionals. Jovita Tam, a Data and AI adviser and attorney, will lead a separate session on moving AI governance from policy into practice.
New Approaches Under Examination
The RegTech Summit London Innovation Spotlight will give emerging providers five minutes each to demonstrate how they are addressing specific compliance problems.
The current programme includes Datox on intelligent regulatory-reporting infrastructure, Initia Risk on technology supporting risk culture, and Recomply. The short format should give practitioners a direct view of how newer providers define the problem they are solving and how their approaches differ from established systems.
Every new capability must fit the firm’s data, controls and operating model. It must produce evidence that supports review. Above all, it must help compliance teams reach better decisions.
Be a part of this year’s conversation and register HERE
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