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Case Study · Insurance Technology · India & Global

Driving business value with
unified observability.

Insurance Tech Platform, a leading insurance and CRM platform used by Fortune 500 insurers, deployed Applicare across their multi-cloud infrastructure to correlate platform performance with customer business outcomes for the first time.

Applicare connects infrastructure performance to actual customer and business outcomes — not just system metrics.

Insurance TechnologyMulti-CloudBusiness ObservabilitySLO Compliance
67%
Reduction in P1 incidents
3.1h → 22min
MTTR improvement
99.7%
SLO compliance — all tenants
$2.4M
Estimated annual support cost saved
ITP
Insurance Tech Platform
Insurance Technology · SaaS

A leading insurance and CRM platform used by Fortune 500 insurers, operating a multi-tenant SaaS platform serving insurance carriers across 14 countries — with strong infrastructure monitoring, but no connection between system performance and business impact.

The Story

From infrastructure alerts
to business context.

Environment

Multi-tenant SaaS on AWS and Azure, serving 50+ insurance carriers across 14 countries. Strong infrastructure monitoring existed — but no link between system metrics and business impact.

The Challenge

A 400ms API slowdown could mean a claims adjuster missing a deadline. A database connection pool exhaustion could mean 200 agents unable to renew policies — with no visibility until customers called.

Applicare Capabilities

Deployed across AWS and Azure, building an entity graph that includes business process entities — policy workflows, claims pipelines, and agent sessions — as first-class monitored objects.

AI Root-Cause (ArcIn)

ArcIn's entity graph models tenant isolation explicitly — tracing incidents to their true source even when tenants share infrastructure, distinguishing a noisy tenant from a platform bug from a shared-resource constraint.

Observability

Every infrastructure event is now correlated with its downstream business impact — which tenant's workflows are affected, how many transactions are at risk, and the estimated business impact in real time.

Business Impact

67% fewer P1 incidents and a 3.1h → 22min MTTR improvement translated directly into fewer failed policy transactions and claims processing delays.

How It Connects

Not just another
infrastructure monitor.

How Applicare's entity graph traces a technical signal all the way to business impact — and back to a resolution.

Infrastructure
Applications
Dependencies
Business Transactions
Customer Impact
Root Cause
Resolution
The Results

From infrastructure problems
to business results.

Failed policy renewals
340/day<20/day
Claims processing SLA
94.2%99.1%
Support tickets (platform-related)
↓ 71%
Estimated support cost reduction
$2.4M/yr
Architecture

Infrastructure to
business impact.

AWS / Azure
Applications
Infrastructure
Applicare — Entity Graph / ArcIn AI Analysis
Business Impact
Root Cause / Resolution

Applicare doesn't stop at detecting an alert. It connects the technical issue to the affected application, workflow, customer experience, and business outcome.

At a glance
CompanyInsurance Tech Platform
IndustryInsurance Technology / SaaS
InfrastructureAWS + Azure, multi-tenant
Tenants50+ insurance carriers
DeploymentFull-stack observability + ArcIn
Outcome67% P1 reduction, $2.4M cost saved
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