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Model Context Protocol Opens Agentic AI for RegTech Platforms

As 2025 was the year GenAI took hold in RegTech solutions, 2026 is seeing the rise of AI agent adoption raising the upside for compliance automation and creating new risk surfaces. Early GenAI solutions enabled unstructured communications, policies and case files to combine with structured transaction and customer data. Early use-cases focused on productivity enhancements…

Napier AI and Delta Capita Link KYC and AML Workflows

Napier AI and Delta Capita have formed a partnership that combines client onboarding and Know Your Customer (KYC) processes with anti-money laundering (AML) screening and transaction monitoring. The companies will connect Delta Capita’s Karbon client lifecycle management platform with Napier AI Continuum. Napier’s contribution covers client screening, transaction monitoring and transaction screening. Delta Capita will…

From AI Pilots to Always-On Compliance: The Priorities Shaping Regtech in 2026/27

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….

AI Expands Buy-Side Compliance Remit as Resources Remain Flat

Four in five respondents to a survey of US investment advisers use artificial intelligence, but many have yet to put testing, validation and third-party oversight behind that adoption. Around 60% of chief compliance officers also hold another executive role, so the added AI duties sit alongside their existing responsibilities. Amended Regulation S-P also requires advisers…

Fenergo Launches Fen-AI to Govern AI Across Client Lifecycle Management

Fenergo has launched Fen-AI, an orchestration platform designed to help financial institutions deploy AI across client lifecycle management while retaining human oversight, policy controls and an auditable record of decisions. The platform supports Fenergo’s KYRA family of AI agents, which can carry out tasks across client onboarding, periodic reviews, ongoing monitoring and material changes to…

Single Rulebook and Sigma AI Target Regulatory Lag as Markets Accelerate

Single Rulebook and Sigma AI have partnered to shorten the time between an exchange changing its rules and the affected trading business responding. Exchanges can issue circulars that alter trading conditions each day, leaving firms to identify affected desks, assess the operational consequences and document decisions across disconnected teams. The firms aim to deliver source-grounded…

Trading Up: Helping Our Youngsters Get What We Do

By Andrew Delaney, President, A-Team Group. We hear it time and time again – at our conferences, on our roundtables and from our advisory boards: our beloved financial data and technology industry is suffering from an acute skills shortage. Flip to the other side of the coin, and employers and parents alike fret about the…

From noise to knowledge: why financial AI needs trusted news

Decisions in financial markets are increasingly shaped by machines. Yet the information feeding those decisions is arriving in unprecedented volume, velocity and variety. As a result, the true differentiator is no longer access to more content, but access to news that is trusted, relevant and correct to the moment in time. With AI rapidly becoming…

Smarsh and AWS Target the Governance Gap in AI-Powered Surveillance

Smarsh recently reported what it describes as breakthrough results from its collaboration with Amazon Web Services (AWS), including a 77% reduction in compliance review workload at one global investment bank. The three-month deployment analysed millions of alerts and, according to Smarsh, produced a 2% decline in true positives. The results provide an early test of…

Reconciliation No Longer Has Time On Its Side as T+1 Approaches

By John Bevil, senior product manager at Xceptor. Europe’s capital markets firms are entering the most consequential phase of T+1 preparation. From 11 October 2027, trades executed in European markets are expected to settle one business day after trade date, reducing the settlement cycle from T+2 to T+1. More than 4 trillion euros of securities…