Event intelligence for insurance organizations

Benefits

Retain customers: Harness AI-powered analysis to proactively prevent outages, deliver seamless experiences, and ensure that core services stay online to protect revenue and customer loyalty.
Maximize service availability: Provide operators with a full incident context to streamline collaboration, detect incidents faster, and keep services running.
Meet compliance requirements: Demonstrate incident-management compliance, identify potential risks, and mitigate regulatory concerns across your ITOps function.
Enable system modernization: Use a combined view of on-premises and cloud topology sources to avoid CMDB gaps, gather deeper multisource context, and advance transformation initiatives.

Trust is everything when your customers are facing a crisis. Insurance companies must ensure their core service offerings stay online to maintain customer confidence, avoid regulatory risks, and prevent lost revenue.

Insurance companies face unique IT operations challenges. Siloed departments and tools, complex IT environments, and slow, manual incident management processes make delivering always-on services for customers and employees difficult. At the same time, intense industry competition demands constant innovation.

These challenges strain the IT teams tasked to migrate and modernize outdated systems while they also work to ensure near-perfect uptime of business-critical services.

High customer expectations Outages that affect core services, agent offices, or online policy and claim processing can damage customer trust, profits, and brand reputation. Customers aren’t focused on loyalty. For example, in the United States, 41% of insured households shopped for alternative providers for their auto insurance at least once in 2023, according to Lexis-Nexis.
Regulatory compliance Insurance companies must ensure strict regulatory compliance to avoid audits and penalties. Outages can result in a breach of service-level agreements (SLAs), risking regulatory consequences unless detected and resolved quickly.
Modernization and digital transformation Insurance companies rely on a complicated mix of siloed legacy tools and cloud services that lack integration. Modernizing this infrastructure while maintaining near-perfect uptime of critical services causes stress for IT teams.

How AIOps can help

Insurance companies stake their success on reliability. Give your operators a consistent, unified, full-context view of incidents and the entire IT environment. End-to-end visibility can increase your operational efficiency and ensure maximum service availability.

AIOps consolidates contextual data across sources and dimensions into actionable incidents. With access to a unified view of incident data, ITOps teams can detect, prioritize, and assign incident remediation in seconds. This detail helps responders reduce mean time to resolution (MTTR), meet SLAs, and resolve critical incidents before they affect customers or become outages.

AIOps incorporates advanced analytics that help your IT organization gain comprehensive oversight and identify risks early, ensuring compliance and reducing audit risks.

AIOps also addresses challenges during IT modernization and digital transformation projects. Although system changes are a leading cause of outages, configuration management databases (CMDBs) are not designed for modern application architectures. AIOps helps to fill gaps to identify change-related incident root cause.

Use AIOps to quickly identify incident-causing changes and establish a real-time topology model with traditional CMDBs and modern cloud-based sources. Full-stack visibility helps resolve change-related outages rapidly, identify areas for improvement, boost efficiency, and accelerate digital transformation efforts.

“BigPanda has shown rapid time-to-value and overall cost-effectiveness in AIOps deployments by providing a multidimensional context for rapid incident resolution.”

Dennis Drogseth
Vice President Emeritus, Enterprise Management Associates

Alert Intelligence

Unified Analytics

Advanced Insight

Challenge

Managing siloed and inconsistent event data spread across on-premises and cloud-based technologies slows incident response time.

Failure to meet stringent compliance risks can result in costly audits and financial penalties.

If outages impact core services or customer satisfaction, policyholders can easily switch to competitive providers.

Business value

Distilling event data into contextual, actionable alerts allows operators to understand what’s happening quickly, the cause, and the remediation steps.

Easy-to-understand audit logs and dashboards provide comprehensive ITOps oversight, identify risks, and help teams maintain incident management compliance.

Automated critical incident summaries, analysis, impact, and probable root cause in natural language help shorten the resolution time.

Alert Intelligence

Challenge

Managing siloed and inconsistent event data spread across on-premises and cloud-based technologies slows incident response time.

Business value

Distilling event data into contextual, actionable alerts allows operators to understand what’s happening quickly, the cause, and the remediation steps.

Unified Analytics

Challenge

Failure to meet stringent compliance risks can result in costly audits and financial penalties.

Business value

Easy-to-understand audit logs and dashboards provide comprehensive ITOps oversight, identify risks, and help teams maintain incident management compliance.

Advanced Insight

Challenge

If outages impact core services or customer satisfaction, policyholders can easily switch to competitive providers.

Business value

Automated critical incident summaries, analysis, impact, and probable root cause in natural language help shorten the resolution time.

“BigPanda AIOps unifies operations and observability teams, their tools, data, and their processes so operators can understand, prioritize, and investigate every incident immediately.”

Jon Brown
Senior Analyst, Enterprise Strategy Group