In its 2024 annual report, the Insurance Crime Bureau (ICB) warned that fraud and organized crime stand to cost South African insurers billions of rupees in losses if not proactively disrupted. Echoed by the ICB, the real cost of fraud goes far beyond financial losses, it impacts operational efficiency, drives up premiums and destroys the trust that underpins the entire financial ecosystem. In such a high-risk market, artificial intelligence (AI) has emerged as a critical frontline defense, enabling insurers to detect cases earlier and reduce the overall cost of losses.
This is according to Londiwe Mataga, head of governance at Miwe Insurance, who says AI is changing how insurers deal with fraud risk, shifting the focus from preemptive detection to proactive prevention.
“By analyzing behavioral trends, historical claims data and telematics information at scale, AI is allowing insurers to identify red flags much earlier in the claims process,” says Mataga. “This has improved operational efficiency, strengthened balance sheet resilience and increased protections for honest policyholders, all of which helps limit premium inflation and support the long-term sustainability of the industry.”
On a practical level, insurers are relying on advanced pattern recognition and real-time data cross-referencing to identify suspicious claims before they pay out. Machine learning models can analyze thousands of variables simultaneously, detecting anomalies that would be difficult or impossible to detect through manual review alone. This includes identifying timing of unusual claims, repeated losses in linked identities, or identifying behavior patterns that reflect known fraud typologies.(1).
AI also plays an important role in uncovering organized fraud networks. Instead of looking at claims individually, insurers can use network analysis to map the relationships between claimants, vehicles, assets, equipment and supporting documents. These insights help uncover syndicated activity, staged accidents or serial claims behavior, allowing insurers to intervene earlier and share intelligence more effectively across the industry.
“Fraud is rarely random,” explains Mataga. “AI allows insurers to connect the dots between policies and claims, revealing hidden patterns that potentially point to coordinated activity. This intelligence is critical in a market where organized fraud remains a persistent threat.”
Technological advances are also reshaping the claims evaluation process. Image and voice recognition tools are now being used to flag altered photographs, recycled accident images and manipulated audio footage. Behavioral analysis can assess how claims are presented, identifying inconsistencies in language, timing or conversation patterns that may suggest misrepresentation. Meanwhile, natural language processing (NLP) is increasingly being deployed to analyze written and oral communications, helping to identify contradictions or inconsistencies in claim forms, call center recordings and supporting statements.(2).
However, AI is not a silver bullet, and insurers are well aware that the same technologies that strengthen security are also being exploited by criminals.
“AI is a double-edged sword,” Mataga says. “We are seeing fraudsters weaponizing these tools to create synthetic identities, fake documents and even cloned voices that can mimic legitimate customers. These technologies are becoming more accessible and more sophisticated, raising the bar for identification.(3)“
This emerging threat landscape has prompted insurers to rethink their approach to technology. Rather than rely solely on automation, many are adopting hybrid models that combine AI-powered detection with human oversight, governance controls, and continuous model monitoring to reduce bias and false positives.(4).
“Combining intelligent systems with experienced people leads to faster success,” Mataga says. “AI can pose massive risks, but strong governance, ethical oversight and skilled investigators are essential to ensure decisions are fair, accurate and defensible.”
She says the real power of AI lies in how intelligence is shared, controlled and acted upon collectively. “We cannot fight fraud in silos, intelligence must be shared between insurers, industry bodies and law enforcement. If used responsibly, AI has the potential to play a vital role here, fundamentally strengthening trust in the insurance system,” Mataga concluded.
Article Written By Londiwe Mataga, Head of Governance at Miway Insurance