Using AI to Stop Fraud Before It Starts with Heather Adams

AI’s biggest value in risk may not be faster detection, it may be stopping people before harm happens. In fraud, financial crime, and scam prevention, the next wave of AI will be less about back-office automation and more about real-time intervention: nudging customers, challenging suspicious payments, and helping organisations detect patterns that legacy rules miss.

Heather leads global risk and compliance services at Accenture, bringing a business-first view of how AI can strengthen trust in financial systems. Her message is also a leadership one: AI cannot be designed by a narrow group of people for everyone else. To use AI for society’s benefit, more women and more diverse voices need to shape the tools, use cases, and safeguards. The opportunity is open to anyone willing to learn, experiment, and get involved.
Emma, a customer success specialist at Computacenter, brings a sharp people-and-systems lens to AI adoption. Her message is clear: AI should not replace human support, judgment, or care. Used responsibly, it can act like workplace scaffolding, helping people contribute at a higher level without burning out. For leaders, the question is no longer simply “does AI make teams faster?” It is “who does AI enable, and what barriers can it remove?

AI is our Business.

UKAI is the Trade Association for AI businesses across the UK. Join us, ukai.co