As digital commerce continues to expand globally, payment networks are facing a sharp rise in fraud and transaction disputes. Financial institutions and merchants are increasingly turning to artificial intelligence to manage dispute volumes, improve fraud detection, and automate complex back-office processes. Visa’s introduction of a new AI-powered dispute resolution suite reflects the growing role of predictive analytics and generative AI in modernising payment network operations and protecting merchants from escalating chargeback costs.
Visa has officially rolled out a comprehensive suite of AI-powered dispute-resolution tools designed to help merchants and financial institutions cut administrative costs and reduce fraud-related losses. This launch addresses one of the most persistent friction points in modern commerce, as payment disputes continue to rise globally. In 2025, Visa processed a record 106 million disputes across its network, representing a significant 35 per cent increase since 2019. The new initiative includes six specialised tools, with three dedicated to supporting merchants and three tailored for issuers and acquirers. These solutions leverage generative AI and predictive modelling to modernise a process that has historically relied on fragmented, manual workflows.
For the merchant community, Visa has introduced a resolution network that streamlines pre-dispute handling. This allows businesses to resolve potential issues before they escalate into formal chargebacks, effectively accelerating the resolution timeline. A new recovery manager also automates the representment process by using generative AI to draft responses and providing win-prediction scoring to maximise revenue recovery. Additionally, the Order Insight tool has been updated to include Compelling Evidence 3.0 as of April 2026. This update helps prevent unnecessary disputes by surfacing granular transaction details to clarify confusion around legitimate charges, which often account for a large portion of friendly fraud.
Issuers and acquirers gain access to Dispute Intelligence, a tool powered by predictive AI models that provides network-wide foresight during case-by-case analysis. This empowers agents to make more informed decisions based on historical data patterns across the entire Visa ecosystem. Furthermore, the Dispute Doc Analyser uses AI to summarise merchant documents and extract key data elements into a structured format, enabling faster review. For acquirers, this tool can now auto-populate response questionnaires for their merchants. To unify these functions, the Visa Dispute Case Manager incorporates AI to consolidate workflows into a centralised platform that manages disputes across multiple card networks.
Andrew Torre, the President of Value-Added Services at Visa, stated that disputes place immense strain on every part of the payments ecosystem, driving complexity and frustrating consumers. He noted that when outdated technology cannot keep pace with rising volumes, fraud often goes undetected. This expanded suite of services is intended to give clients the visibility they need to focus on growth and customer service. While some of these tools are now generally available, others, such as the Visa Dispute Case Manager in North America, are planned for a broader rollout later in 2026. This milestone confirms that the convergence of predictive AI and global payment rails is becoming the standard defence against the operational challenges of the digital economy.
What this means for the industry
- AI is transforming payment dispute management
Automated dispute analysis and predictive modelling help reduce manual processing and improve resolution speed. - Chargebacks and friendly fraud are becoming major operational challenges
Rising dispute volumes are pushing payment networks to develop smarter fraud prevention tools. - Merchants are gaining tools to prevent disputes before they escalate
Pre-dispute resolution systems can clarify transactions and reduce unnecessary chargebacks. - Predictive analytics improves decision-making for issuers and acquirers
AI models analysing network-wide data allow financial institutions to detect patterns and resolve cases faster. - Payment networks are evolving beyond transaction processing
Networks like Visa are expanding into AI-driven value-added services to support the entire payments ecosystem.
Photo by CardMapr.nl on Unsplash
