AI powers £480m fraud recovery as global leaders urge cross-border action
A cutting-edge AI tool has helped the UK government recover £480m lost to fraud, the Cabinet Office announced this week, marking a critical milestone in the broader global fight against financial crime. With fraud scams and bank fraud schemes now costing the global economy an estimated $485.6bn annually, public and private sector leaders are accelerating efforts to deploy AI as both a preventative and recovery tool.
This announcement follows the Global Fraud Summit and Global Anti-Scam Summit, both held in London, which called for stronger cross-border cooperation, shared intelligence, and deeper public-private partnerships to tackle fraud. Both events underscored how fraud networks are rapidly evolving, exploiting deepfake identities, trade-based money laundering, and globalised financial systems to evade enforcement.
The inaugural Global Fraud Summit, hosted by the UK government in March 2024, brought together ministers from G7, Five Eyes, Singapore, South Korea, and global law enforcement bodies, including INTERPOL, Europol, and the UN Office on Drugs and Crime (UNODC). The UK highlighted that over 70% of its domestic fraud cases had international links, emphasising the need for global coordination.
The summit outlined a four-part strategy of expanding international intelligence sharing, empowering victims and the public, targeting transnational fraud networks, and limiting access to tools that enable fraud. Delegates committed to better enforcement coordination, capacity-building in vulnerable nations, and more engagement from the private sector, marking a global shift in how fraud is categorised and countered.
Meanwhile, the Global Anti-Scam Summit (GASS), held in March 2025, convened over 1,400 participants from governments, law enforcement, telecoms, and cybersecurity firms. The event focused on tackling phishing, impersonation scams, and identity fraud, pointing out that fewer than 7% of scams are ever reported to police. GASS called for unified public-private standards and paved the way for a multinational anti-scam agreement expected in 2026.
Across both summits, ministers warned that traditional enforcement is no longer enough. AI has emerged as a critical tool to enable real-time fraud detection, recognise behavioural patterns, and coordinate recovery efforts across agencies and jurisdictions. However, success depends on long-term investment in digital infrastructure, cross-sector alignment, and shared governance frameworks.
The use of AI to reverse large-scale fraud presents a turning point for enforcement capabilities. Fraud no longer respects borders, driven by digital platforms and globalised financial flows.
The use of AI to reverse large-scale fraud presents a turning point for enforcement capabilities. Fraud no longer respects borders, driven by digital platforms and globalised financial flows. As fraud rings become more sophisticated, employing deepfake identity fraud, trade-based money laundering and cross-jurisdiction shell operations, the need for international frameworks and agile technology becomes ever more critical.
The scale of the challenge is emmense. Up to 30% of the value of publicly funded procurement projects may be lost to mismanagement and corruption, underscoring the stakes for governments looking to protect taxpayer funds. Meanwhile, scams and cyber-enabled fraud schemes are estimated to have stolen over $1.03tn globally in the past 12 months.
Jason K from Basware, said: “AI has accelerated invoice fraud at an alarming pace. According to research, 62% of businesses now cite GenAI as a key driver behind the surge in fraud attempts, which are not only increasing in volume, but becoming harder to detect due to deepfakes and manipulated documents. Yet, 90% of organisations still lack the technology, skills, or dedicated resources to prevent fraud, placing pressure on already overstretched AP teams. This capability gap continues to expose firms to avoidable risk.”
“With global fraud losses estimated in the hundreds of billions, prevention needs to start with better infrastructure, automation, and real-time visibility into spend. Manual, reactive approaches can no longer keep up with the speed or sophistication of fraud networks. Tackling this challenge requires tighter coordination between compliance, finance, and procurement functions, and a shift toward proactive AI-powered systems that can detect, flag, and prevent fraud before it impacts the bottom line.”
As the line between digital transformation and financial crime risk continues to blur, global collaboration will be essential. AI offers a critical opportunity to stay ahead of increasingly sophisticated fraud networks, but only if it’s deployed with transparency, coordination, and a shared global framework in mind.