AI is turning payments into a revenue engine – new RS2 whitepaper reveals shift
RS2, a Tier-1 global provider of payment processing infrastructure and technology solutions, today released a new white paper examining how artificial intelligence is transforming merchant acquiring from a largely defensive function focused on fraud mitigation into a strategic engine for revenue generation, merchant performance and payment optimisation.
The report, AI in Merchant Acquiring: From Fraud Mitigation to Revenue Generation, explores how advances in machine learning, analytics and payment orchestration are enabling acquirers to move beyond traditional fraud detection and transaction processing toward intelligence-driven decision making across the payments ecosystem.
The shift comes at a time when the global payments industry continues to expand rapidly. McKinsey estimates that payments generated $2.5tn in global revenue, with the market expected to grow to $3tn by 2029 as digital commerce and embedded financial services accelerate worldwide.
At the same time, the role of merchant acquiring is evolving. Merchants now operate across multiple channels, currencies and payment methods, while large retailers increasingly adopt multi-acquirer strategies to optimise performance and resilience. In this environment, the ability to convert payment data into real-time insights and actionable intelligence is emerging as a key competitive advantage.
According to the white paper, artificial intelligence allows acquirers to optimise thousands of operational and commercial decisions in real time. Capabilities such as advanced risk scoring, intelligent transaction routing and predictive analytics enable providers to improve authorisation rates, reduce unnecessary declines and identify opportunities to enhance merchant performance.
“In payments, every decline is effectively a decision about revenue,” said Radi El Haj, CEO of RS2.
“Historically, artificial intelligence technology in acquiring focused primarily on protecting transactions and reducing fraud. Today, AI is enabling acquirers to create value by improving approval performance, optimising pricing strategies and helping merchants grow their businesses.”
The report highlights several key areas where AI is reshaping the economics of merchant acquiring, including real-time risk scoring, dynamic pricing models, merchant churn prediction and personalised value-added services. Together, these capabilities enable payment providers to move beyond commoditised transaction processing toward more intelligence-driven services that improve both merchant outcomes and acquirer profitability.
Central to this transformation is what the report describes as an “AI control tower” for acquiring. This refers to a unified intelligence layer connecting risk management, routing, pricing, merchant analytics and operational decision-making across the payment infrastructure.
Modern payment platforms are increasingly designed to support this approach by integrating processing, orchestration and analytics within a single architecture. By bringing together issuing, acquiring and data intelligence on one platform, providers can gain a comprehensive view of transaction flows and merchant performance while enabling more sophisticated decision-making across the payment lifecycle.
As digital commerce continues to expand and payment ecosystems become more interconnected, the report concludes that the most successful acquirers will be those able to combine processing scale with data-driven intelligence and value-added services.
The full white paper, AI in Merchant Acquiring: From Fraud Mitigation to Revenue Generation, is available from RS2.