Integrated Research Introduces Iris for Card Payments

Jun 23, 2026
Integrated Research has launched Iris for Card Payments, an AI assistant designed to help payments teams detect and resolve transaction issues faster through natural language insights and observability tools built into the Prognosis platform.

Integrated Research announced in a press release the launch of Iris for Card Payments, an AI assistant designed to help payments teams identify and address transaction issues quickly. The system provides real time insights through natural language queries and is built on the company’s Prognosis observability platform, which monitors more than 80 billion transactions annually for major banks and financial institutions.

Iris for Card Payments allows users to ask direct questions about transaction declines, approvals, volumes, and performance without requiring technical queries or dashboards. It uses IR’s correlation logic to explain why issues occur, not just what happened, giving teams faster access to contextual insights.

The product is available globally in beta from May 2026 as part of the release of Prognosis 13.3. Integrated Research plans to extend Iris to High Value Payments and Real Time Payments in future versions.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Finance AI Weekly, Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

AI in Finance Enterprise AI AI Brief AI Brief (X)
Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

AI Token Webinar

Industry analysis

2025 Global Business Services Agenda: Gen AI Takes Center Stage

The Hackett Group

This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.