Contents

A breakdown of what’s inside the white paper:

Executive Summary

Glossary

Background

Methodology

Key Finding 1 – The Imminent Wave of AI Adoption in AFC

Key Finding 2 – How Senior Leaders Are Driving Innovation

Key Finding 3 – Barriers to Adoption and How to Overcome Them

Six Strategic Recommendations for AI in AFC

Themis Case Study: AI in Action

About Themis

Appendix – Survey Results Overview

Know Your Risk : Introducing the Customer Risk Calculator

Briefing Note

Info

What's inside?

Case Study

Real-Time Risk Monitoring in Action

One standout finding from the research was that organisations already using AI report lower levels of tech-related friction in AFC. For example, a mid-sized financial services provider implemented real-time AI monitoring across its onboarding and transaction review systems.

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By automating KYC, risk scoring, and screening, the company:

Reduced onboarding times by 40%.
Flagged 3x more suspicious entities linked to environmental and human rights crimes.
Cut false positives in transaction alerts by over 60%.

These improvements not only eased compliance burdens but also allowed teams to focus on high-risk cases that truly required attention.

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