What was the impact of the AI solution?

Event response time fell from 20 minutes to 90 seconds. Monitoring coverage increased from 26% to 100%. Time for accounting and claims processes dropped from 21 to 18 hours and incident handling time dropped by 90%. NAMI analyzed over 800 system events in two months and autonomously resolved many of them.

Source

Unipol builds NAMI: next automation monitoring insurance (agentic IT operations)

Use case typeIT operationsUpdated Nov 10, 2025

Unipol Assicurazioni S.p. A. built NAMI as an AI-powered automation platform for IT operations and monitoring. The solution uses IBM watsonx Orchestrate, IBM Cloud Pak for Data and IBM Cloud Pak for AIOps with a hybrid cloud deployment.

Organization: Unipol Assicurazioni S.p.A.
Industry: Insurance
Location: Italy
Published: November 2025

Reported outcomes

+100%

monitoring coverageOther quantified impact

90 secondsaverage event response time−90%incident handling time−14.3%accounting and claims process time800 countsystem events analyzed

Strategic outcomes

Speed & agilityFaster IT incident resolutionBetter decisions & insightPredictive insights for smarter decisionsScale & capacityExpanded real-time monitoring coverageCost efficiencyFreed technical teams for higher-value work

Primary read

Use case focus

Showing 3 of 3

1IT operations
2Workflow automation
3Observability

Unipol needed to reduce stagnation, improve enterprise-wide IT operations, and build a secured, scalable monitoring foundation with faster incident handling and better visibility.

NAMI provides natural-language interfaces, generative AI use cases, unified operations management, a data lake, predictive analytics and automated reporting.
It was initially built on IBM infrastructure and later migrated to Red Hat OpenShift in a hybrid cloud architecture with on-prem HCI, and it uses multiple foundation models.

Technologies

IBM watsonx Orchestrate IBM Cloud Pak for Data IBM Cloud Pak for AIOps IBM Fusion HCI Red Hat OpenShift watsonx.ai

Event response time fell from 20 minutes to 90 seconds.
Monitoring coverage increased from 26% to 100%.
Time for accounting and claims processes dropped from 21 to 18 hours and incident handling time dropped by 90%.
NAMI analyzed over 800 system events in two months and autonomously resolved many of them.

Architecture

NAMI is an AI-powered automation platform built with IBM watsonx Orchestrate, IBM Cloud Pak for Data and IBM Cloud Pak for AIOps. It was initially built on IBM infrastructure and migrated to a hybrid cloud on Red Hat OpenShift, with IBM Fusion HCI providing on-prem architecture. The system integrates more than a dozen monitoring systems into a unified data lake and uses multiple foundation models for task-specific workflows.

Implementation partners1

Red Hat

Sources & evidence1

Groundedness: 5/5Type: Customer StoryPublished: Nov 10, 2025Publisher: IBMEvidence: PrimaryConfidence: High

Primary source

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Customer evidence