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Original article date: Apr 08, 2026

Visa Deploys Six AI-Powered Tools to Tackle a 35% Rise in Payment Disputes

April 10, 2026
5 min read

Dispute management is quietly becoming one of the most expensive operational challenges in the payments industry. In 2025 alone, Visa processed 106 million disputes worldwide — a 35% increase since 2019. Now, Visa is deploying a suite of six AI-powered tools designed to reduce costs, prevent fraud, and bring automation to what has historically been a manual, fragmented workflow.

The Six New Tools

For merchants:

  • Visa Dispute Resolution Network — Designed to resolve potential disputes before they escalate, reducing operational burden.
  • Visa Dispute Recovery Manager — Uses generative AI to automate response workflows and predict outcomes for better recovery rates.
  • Order Insight — Provides transaction-level detail to prevent unnecessary disputes, with updated capabilities to share evidence directly with banks.

For issuers and acquirers:

  • Dispute Intelligence — Applies predictive AI to support case-level decisions using network-wide data.
  • Dispute Doc Analyzer — Automates document review and summarization to speed resolution timelines.
  • Visa Dispute Case Manager — A centralized platform for managing disputes across card networks from intake to resolution.

"When outdated technology cannot keep pace, fraud goes undetected," said Andrew Torre, President of Value-Added Services at Visa. "Our expanded suite gives clients the visibility they need to focus on what matters most: serving customers, launching new products, and growing their businesses."

The rollout reflects a broader industry shift: dispute management is no longer a back-office cost center. According to Sam Abadir of IDC Financial Insights, institutions that continue relying on fragmented, manual processes are "leaving recoverable revenue on the table."

For enterprise leaders, this is a useful signal: AI is moving deepest and fastest into operations where volume is high, human review is slow, and the cost of error is measurable.

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