What kind of data or integrations does Zango AI require?

Zango requires no data or engineering integration for horizon scanning and regulatory change management. For automated gap analysis, read access to internal policies via Google Drive, SharePoint, or document upload is needed. SOC 2 Type II and ISO 27001 certified. Most teams are operational within one week.

How accurate is Zango AI in identifying compliance risks?

Zango monitors 200+ regulatory sources globally including FCA, PRA, EBA, SEC, FINRA using Agentic Splitting methodology. Every AI insight is validated through human-in-the-loop review for citation-grade reliability.

Can Zango AI handle large volumes of data?

Yes. Zango monitors 200+ regulatory sources across UK, EU, and US in real time. Gap analysis cross-references hundreds of policy documents against regulatory changes. Serves banks managing compliance across FCA, PRA, EBA, and DORA.

How does the AI enhance traditional compliance processes?

Zango automates horizon scanning, gap analysis, obligations management, and financial promotions review. Reduces time-to-compliance by up to 70% and generates audit-ready evidence packs.

How does Zango AI ensure the security of my data?

SOC 2 Type II and ISO 27001 certified. AES-256 encryption at rest, TLS 1.3 in transit. Role-based access controls, SSO, audit logs. Published DPA at zango.ai/dpa. Configurable data residency.

How long does it take to go live with the Zango platform?

Day one for horizon scanning and regulatory monitoring. Gap analysis setup takes 2-5 business days. No engineering resources or API integrations needed. Most teams fully operational within one week.

✦ RESEARCH INITIATIVE 2025-2026

The Future of AI Governance & Compliance in Financial Services

The financial services industry is deploying AI faster than it can govern it. New research from Zango sets out what the sector needs to close the gap.

Download the full report Shape the AI governance standard

Foreword by Lord Clement-Jones

Senior risk, compliance, legal & AI governance leaders interviewed

Focus groups exploring emerging governance practices

Industry roundtables with 60 senior practitioners to validate findings

Expert perspectives from across industry and academia

CONTRIBUTORS

Expert perspectives from across financial services and academia

METHODOLOGY

Built on qualitative evidence from senior practitioners.

Regional coverage
UK financial services with broader European representation
Sectors covered
Banking · Fintech · Payments · Wealth management · Digital assets
Academic advisers
University of Glasgow · Oxford Martin School

FOREWORD

“We cannot simply wait for the aftermath of the first major AI-fuelled financial scandal to force us into action.”

Lord Tim Clement-Jones, CBE
Co-Chair, All-Party Parliamentary Group on AI
House of Lords

EXPERT COMMENTARY

Featured voices from across the industry

Dean Nash

Global COO (Legal)

Rt Hon John Glen MP

Member of the Treasury Committee, House of Commons

Ben Ellis

Chief Compliance Officer

Suzanne Brink

Head of Responsible AI

Ratul Ahmed

Global Head of Model Risk Management & Validation

Iain Laing

Chief Risk Officer

Mitch Trehan

Chief Compliance Officer

Willem Wellinghoff

Chief Compliance Officer & UK Chair

Cosette Reczek

Global Head, Model Risk, Markets

Paul Loftus

General Counsel

Arman Fallah

UK Chief Risk Officer

Archit Chamaria

Chief Data and Analytics Officer

Andrew Sutton

Visiting Fellow

Dr Alessio Azzutti

Lecturer in Law & Technology

Rob Phillipson

Managing Director

✦ WHY THIS RESEARCH

AI is moving faster than the governance frameworks overseeing it

This research set out to understand how financial institutions are governing AI in practice - where frameworks are holding, where they’re straining, and what the next few years will demand of compliance, risk, and legal functions.

It draws on qualitative evidence from senior practitioners across banking, fintech, payments, wealth management, and digital assets - supported by academic advisers from the University of Glasgow and the Oxford Martin School AI Governance Initiative.

"If I ask the question - show me everywhere AI is being used across this organisation - I wouldn't be able to get an answer."
Head of Compliance, regulated financial institution
"Think how long it took to build up PPI. That could happen in two weeks with AI - billions of pounds of liability quickly because something wasn't right."
Director of Compliance, major UK wealth manager

Independent research advisers from:

Download the full report Shape the AI governance standard

What the research finds

01 A capability gap is emerging in oversight functions.

THE OVERSIGHT GAP

AI adoption is most mature in the first line, where data is structured and the commercial case is clear. Oversight functions are following from a significantly lower base. Those tasked with challenging AI systems often lack the technical literacy to do so meaningfully.

02 AI is reshaping how the Three Lines of Defence operate.

EVOLVING PRACTICE

First-line teams are increasingly running AI-driven validation of their own systems. The second line’s role is shifting from direct model oversight to control oversight- setting the standards for automated validation and exercising judgement when escalation is required.

03 The UK and EU are missing an implementation layer.

AN IMPLEMENTATION GAP

There is currently no authoritative sector-specific guidancetranslating regulatory expectations for AI into operational practice. The US and Singapore have both moved to build this layer through public-private collaboration. The UK and EU have not.

04 Industry shouldn’t wait for regulators.

THE INDUSTRY RESPONSE

Industry should build the answer itself, developing sector-specific guidance modelled on the JMLSG precedent in financial crime in the UK - an industry-led standard, recognised by government, that translates principles into practice.

What’s in the report

01

How AI adoption varies across institution types - and what’s driving the divergence.

02

The six governance models firms are actually using in practice.

03

The impact of AI on how the Three Lines of Defence operates.

04

The AI skills gap, and why this is becoming a governance problem.

05

What a shared AI governance implementation standard should address.

06

The systemic risks of inaction, and how criminals are exploiting the gap.

Download the full report

Receive the full report

The complete findings from interviews with senior financial services leaders on AI governance, risk and compliance.

Full report PDF

Practitioner quotes from 27 senior leaders

Foreword by Lord Clement-Jones

How firms are approaching AI governance today

Download your report. A copy is also on its way to your inbox.

Download PDF

✦ WHAT COMES NEXT

Shape the AI governance standard.

The industry needs its own AI governance standard - built by practitioners. A coalition of financial services leaders is building it - modelled on the JMLSG precedent in financial crime. Register your interest in stress-testing it ahead of publication.

Oops! Something went wrong while submitting the form.

News & insights