Artificial intelligence is transforming the payments industry at pace, and the scale of AI in payments is now impossible to overlook. McKinsey's 2025 Global Payments Report identifies AI as one of three structural forces redefining the sector, alongside fragmentation and the rise of tokenised money.

AI is now firmly operational across fraud management and customer operations, as well as the platforms that underpin them. For banks, payment providers and fintechs, the focus has shifted to identifying where AI creates the most measurable impact.

Smarter Service: AI in Banking Customer Experience and Operational Efficiency

AI customer service in payments is reshaping how banks and payment firms operate, enabling them to process greater transaction volumes with fewer manual interventions and reducing cost-to-serve. McKinsey notes that user experience must be predictive, explainable and aligned with customer expectations, a standard that early AI deployments have not always met [McKinsey, 2025]. Virtual assistants can manage routine queries around the clock. However, the real value lies in freeing human agents to focus on the interactions where empathy and judgement matter most.

Beyond reactive support, banks are developing tools that detect patterns such as declining balances and upcoming large payments, prompting corrective action before problems arise. Underpinning these capabilities is a more fundamental requirement: the ability to feed downstream AI systems with accurate payment data in near real-time. Payment automation AI, from smart routing and agent-assist tools to automated after-call workflows, is only as effective as the infrastructure that supports it. PowerCARD V4, HPS's cloud-native, microservices-based platform, is designed to meet precisely this need, enabling real-time transaction processing and the performance levels that modern AI applications demand.

Stronger Defence, Smoother Journeys: AI in Fraud Prevention and Payment UX

AI fraud prevention in payments is the most mature application of the technology to date. Machine learning models consistently outperform traditional rules-based engines by identifying subtle patterns across large datasets in real time.

Cardholder authentication is advancing too. AI-driven pattern recognition and anomaly detection, applied to biometric verification including facial scanning and fingerprint analysis, help distinguish legitimate users from potentially fraudulent activity at the point of transaction. Critically, AI systems continuously retrain on new fraud signals, enabling faster responses to emerging threats including synthetic identities and deepfake-enabled attacks. McKinsey identifies this category as growing rapidly and sophisticated enough to bypass traditional detection systems [McKinsey, 2025].

Performance matters as much as protection. Research indicates that 51% of cardholders who experience a false decline go on to complete the same purchase using an alternative card, representing a direct commercial loss for the original issuer. AI-powered systems can evaluate over 500 risk attributes per transaction in approximately one millisecond, approving legitimate purchases and containing fraudulent ones simultaneously. This precision is particularly valuable for first-time or infrequent shoppers who might otherwise encounter unnecessary friction.

Smarter Data, Better Customer Engagement: AI's Broader Impact

Realising AI's full potential depends on the quality of the information underpinning it. Accurate, well-structured records and effective data management are essential for generating reliable insights and enabling advanced technologies across financial services. With the right foundations in place, AI can use large volumes of customer data to build detailed profiles, supporting more relevant and context-aware interactions across the payment lifecycle.

PowerCARD's advanced risk controls, delivered in collaboration with AI specialist Enigma, combine machine learning models that detect emerging fraud patterns with proven rule-based systems for known suspicious behaviours, covering payment issuance, acquiring and authorisation management. In addition, PowerCARD-BI, HPS's analytics tool, turns granular payment and transactional records into actionable intelligence through accessible dashboards, helping issuers and acquirers, as well as merchants, make well-informed business decisions. Together, these capabilities help clients keep pace with AI-driven change across the full payment journey.

Building on the Momentum

AI is firmly established in payments, particularly for fraud and risk management, with growing adoption across customer service and platform operations. The infrastructure decisions made now will define competitive positioning for years ahead. For payment firms, the priority is moving from isolated AI pilots to integrated deployment at scale.

To find out how HPS can support your AI journey, contact the sales team at sales@hps-worldwide.com.