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Modernising fraud disputes with AI: balancing cost, compliance and customer trust

2025/07/13/08:01
in Banking
Reading Time: 2 mins read
276 9
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Modernising fraud disputes with AI: balancing cost, compliance and customer trust

xr:d:DAFjq9IlgG8:2,j:47694284795,t:23052219

Financial institutions are increasingly turning to artificial intelligence to modernise their fraud dispute processes, aiming to reduce costs while enhancing regulatory compliance and maintaining customer trust. AI-driven systems promise faster detection and resolution of fraudulent claims, but striking the right balance remains a challenge.

The rise of AI in fraud management
AI technologies, including machine learning algorithms and natural language processing, are transforming how banks and payment providers handle fraud disputes. By analysing vast amounts of transaction data and behavioural patterns, AI can identify suspicious activity more accurately and at greater speed than traditional manual methods.

This shift not only improves efficiency but also enables institutions to respond proactively to emerging fraud tactics. Automated dispute resolution workflows can streamline investigations, reducing the time customers spend waiting for outcomes and lowering operational costs.

Cost savings meet regulatory demands
Implementing AI tools helps financial organisations curb the escalating costs associated with fraud, which have risen sharply in recent years due to sophisticated cybercrime. Automation reduces the need for large teams dedicated to manual case reviews, delivering significant savings.

At the same time, regulatory scrutiny around fraud prevention and data privacy has intensified globally. AI systems must be designed to comply with complex rules such as GDPR and PSD2, ensuring that customer data is handled securely and that decision-making processes remain transparent and auditable.

Maintaining customer trust
Despite the clear benefits, relying on AI in fraud disputes raises concerns about fairness and customer experience. Automated decisions risk false positives or negatives, which can frustrate customers and damage brand reputation.

To address this, firms are adopting hybrid approaches that combine AI insights with human oversight. Transparent communication about how disputes are processed and clear avenues for customer appeal are essential to build and sustain trust.

Looking ahead
As fraud tactics continue to evolve, so too must the technologies and strategies to combat them. AI offers powerful tools to modernise dispute resolution, but success depends on balancing efficiency with ethical considerations and regulatory compliance.

Financial institutions that can navigate this balance effectively will be better positioned to protect their customers and reduce losses, while fostering confidence in an increasingly digital financial ecosystem.

REFH – Newshub, 13 July 2025

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