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AI Agents Challenge Financial Supervision: New Zango Analysis with John Glen MP

By Lauren Towner · 16 September 2026

In brief: Zango AI's new report finds that autonomous AI agents are making traditional periodic financial supervision obsolete, requiring a shift toward continuous, system-wide monitoring and updated accountability frameworks.

Key facts
Report TitleThe AI Regulatory Edge
Key ContributorJohn Glen MP
Roundtable Participants20 senior compliance and risk leaders
Primary FocusAutonomous AI and the Senior Managers Regime
Press Release: AI Agents Challenge Financial Supervision: New Zango Analysis with John Glen MP | Featured Image by FF News

The shift toward autonomous AI agents is forcing a fundamental rethink of UK financial supervision. As Parliament debates the Financial Services and Markets Bill, new analysis suggests that existing accountability frameworks, designed for human decision-makers, are ill-equipped for a world where AI systems plan and act independently across traditional organisational boundaries.

What was announced

Analysis from Zango AI, featuring contributions from the Rt Hon John Glen MP and leaders from Lloyds Wealth, DNB, and LaSalle, highlights a move toward a "continuous and system-wide approach" to supervision. The report examines how the Financial Services and Markets Bill could grant the Financial Conduct Authority (FCA) and Prudential Regulation Authority (PRA) greater flexibility to adapt rulebooks as AI changes the nature of concentration risk and accountability. A central concern identified in the report is the future of the Senior Managers Regime; participants in a private roundtable of 20 wealth and asset management leaders discussed the difficulty of maintaining oversight when a single AI agent’s actions cut across the responsibilities of multiple senior managers.

The report argues that compliance must evolve from a post-facto review function into a discipline that shapes system design and monitoring during deployment. For firms, this creates a requirement to demonstrate how autonomous systems are monitored and whether their actions can be reconstructed for evidence. The analysis suggests that as AI moves from assisting staff toward planning and deciding, financial institutions will need to provide clear evidence of where human judgement remains necessary and who remains responsible for AI-enabled processes. This shift mirrors a broader evolution in the supervisory toolkit toward market-wide powers and AI-enabled monitoring capable of identifying common dependencies across the financial system.

"The existing framework was built for a world in which senior managers make decisions and can be held directly accountable for them, not for a world in which autonomous agents act continuously. The Mills Review, the Bank of England’s Financial Stability Report and recent FCA commentary all indicate that regulators are grappling with whether technology-neutral regulation remains sufficient as AI changes the nature of accountability and concentration risk. That deserves a serious answer."

The Rt Hon John Glen MP, Treasury Committee member and former City Minister.

The companies involved

Zango is a fintech firm focused on the deployment and governance of AI agents within financial institutions. The company, which operates at zango.ai, positions its technology as a means for firms to meet the evolving expectations of regulators who are themselves beginning to adopt AI-enabled supervisory tools. The company’s leadership includes Ritesh Singhania, Co-founder and CEO, who has noted that risk management is becoming more continuous and embedded rather than reliant on periodic manual assessment. The analysis also draws on the expertise of Zakaria Ouraich, who serves as Head of UK Compliance at LaSalle, a major global real estate investment manager. John Glen, a member of the Treasury Committee and former City Minister, provided the foreword for the report, lending significant political weight to the findings. The involvement of practitioners from Lloyds Wealth and DNB further underscores the industry-wide concern regarding how increasingly capable AI systems will be integrated into existing risk management and control frameworks as the UK reforms its financial regulatory framework.

What FF News has reported before

FF News has followed Zango’s trajectory since it first entered the market. In June 2025, we reported that Zango AI Emerges From Stealth, Raising $4.8m to Revolutionise Financial Compliance Systems with AI Agents, highlighting the firm's ambition to automate complex regulatory workflows. More recently, in January 2026, we covered how the firm’s influence in the sector was growing in New Cross-industry Research on the Future of AI Governance in Financial Services Strengthened by Appointment of Santander Global COO (Legal). This prior coverage illustrates a consistent focus on bridging the gap between advanced AI capabilities and the rigid requirements of financial law, particularly as the firm has moved from a stealth startup to a key contributor to regulatory debate.

What this means

The industry is reaching a tipping point where "technology-neutral" regulation may no longer be a viable shield for the FCA and PRA. If an autonomous agent can execute trades or manage wealth across several jurisdictions and departments simultaneously, the Senior Managers and Certification Regime (SMCR) risks becoming a legacy artifact rather than a functional tool. This announcement moves the needle by framing AI not as a tool for efficiency, but as a structural challenge to the concept of individual accountability. The pressure is now on compliance departments to move upstream into the development lifecycle. The open question for the sector is whether human-centric laws can ever truly govern non-human agency without stifling innovation or creating dangerous accountability gaps.

Frequently asked questions

How is autonomous AI changing financial supervision?

Autonomous AI is shifting financial supervision from periodic manual assessments to continuous, system-wide monitoring. As AI agents begin to plan and act with limited human intervention, regulators like the FCA and PRA are exploring more AI-enabled approaches to identify emerging risks and common dependencies across the financial system.

What is the impact of AI on the Senior Managers Regime?

AI agents challenge the Senior Managers Regime by acting autonomously across traditional organizational boundaries. This makes it difficult to hold a single senior manager accountable for an agent's actions. Firms must now demonstrate clear lines of oversight and ensure that AI-enabled processes can be reconstructed and evidenced for regulatory review.

Why is continuous monitoring necessary for AI compliance?

Continuous monitoring is necessary because autonomous AI agents operate in real-time, making periodic reviews insufficient for capturing risks. By embedding risk management directly into the AI controls and processes, firms can strengthen the evidence regulators expect and respond more quickly to autonomous system behaviors.

About the companies

Zango

Website · 3 stories on FF News since 2025

Previously on FF News:

Companies in this story: Zango

People in this story: Ritesh Singhania, John Glen, Zakaria Ouraich

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