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Home Technology Big Data, Analytics & Intelligence

IR unveils conversational AI intelligence layer built for multi-vendor UC&C observability 

FutureCIO Editors by FutureCIO Editors
December 5, 2025
Photo by Tima Miroshnichenko: https://www.pexels.com/photo/people-working-in-the-office-5453811/

Photo by Tima Miroshnichenko: https://www.pexels.com/photo/people-working-in-the-office-5453811/

Global observability software company Integrated Research (IR) has introduced Iris, a conversational AI layer that enhances multi-vendor UC&C observability and aims to transform enterprise performance management. 

Ian Lowe
Ian Lowe

Ian Lowe, chief executive officer at IR, said: "With Iris, complex multi-vendor IT environments have just become a performance advantage for large enterprises, giving everyone – not just IT specialists – access to business-critical performance insights in seconds."

Iris

Iris claims to answer in plain language, translating complex monitoring data into actionable insights, and to provide detailed, context-rich responses.

Embedded in Prognosis, the key benefits of Iris include democratising insights, accelerating issue resolution, and helping users see patterns and spot risks for better decision-making.

Prognosis 13.2

The launch is part of the general release of Prognosis 13.2, which offers deeper insights and better experiences for IT teams managing the performance of large unified communications, collaboration and payments ecosystems.

Aside from Iris, users can expect the following enhancements in Prognosis 13.2:

  • Workflow-aware automation – outbound ITSM alerting (starting with ServiceNow) to reduce manual triage and mean time to resolution.
  • Faster reporting for Microsoft Teams and Cisco Webex – improved speed, scalability and long-term performance for large UC datasets.
  • Genesys Cloud visibility – our first CCaaS module delivering a unified service view.
  • Assurance for recorded interactions – integration with Verint Call Recording on Genesys Engage to verify status, quality and availability.
  • Broader Microsoft Teams coverage – extended Microsoft Teams monitoring to include Teams rooms
  • Payments and capacity enhancements – real-time visibility for SWIFT and Fed ISO schemes, multi-workload NonStop capacity management, BASE24 eps monitoring on Linux, and a vendor-neutral ingest via a TCP IP Listener and Kafka.

Related:  Low AIQ threatens employees, customers, and AI initiatives
Tags: Artificial Intelligencedigital transformationIntegrated Researchobservability
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