Terry KS AUSTRALIA, 23 JUNE 2026 – For payments teams operating at scale, the difference between a minor transaction anomaly and a full-blown revenue crisis can come down to minutes. Integrated Research, the global observability software provider known as IR, is betting that artificial intelligence can close that window with the launch of Iris for Card Payments, an AI-powered assistant designed to give financial institutions faster, clearer insight into their card payments environments precisely when it matters most.
The product, now available in Beta globally as part of the Prognosis 13.3 release from May 2026, is built directly on IR’s flagship observability platform, Prognosis, which processes more than 80 billion transactions each year across some of the world’s largest banks and financial institutions. Rather than requiring analysts to manually correlate schemes, response codes, transaction flows, and performance metrics across multiple dashboards, Iris accepts natural language queries and returns contextual, plain-language answers in real time.
The distinction IR is drawing is between surface-level alerting and genuine diagnostic intelligence. Many monitoring tools can flag that something is wrong. Iris is designed to explain why, drawing on IR’s built-in correlation logic to connect cause and effect across complex, multi-vendor payment environments where issues can cascade across dependencies within minutes.
Three capabilities sit at the centre of the Iris proposition. The first is accessibility: by making deep card payments expertise available around the clock through a conversational interface, the tool reduces operational reliance on scarce specialists, a genuine pressure point for institutions managing 24/7 payment infrastructure with finite teams. The second is context-aware insight, where Iris goes beyond reporting what happened to surfacing the underlying reasons behind transaction declines, approval rate shifts, or volume anomalies. The third is simplicity of interaction, allowing teams to query complex data through natural language without needing technical syntax or the manual effort of stitching together multiple reporting views.
The timing of the launch reflects a broader shift in how financial institutions are approaching operational resilience. As card payment environments expand in scale and complexity, the window for human teams to detect, correlate, and act on emerging issues is compressing. AI-powered observability is increasingly being positioned not as a convenience layer but as a core component of payment operations infrastructure.
IR has indicated that Iris will not remain confined to card payments. Future releases are planned to extend the assistant into the High Value Payments and Real-Time Payments domains, broadening its coverage across the full payments stack that major financial institutions depend on. For organisations looking to explore Iris for Card Payments or request a demonstration, further information is available at ir.com.