A LEADING GLOBAL INSURER ACHIEVED 50% IMPROVEMENT IN BUSINESS OPERATIONS WITH MPHASIS AIOPS PLATFORM

CLIENT

A global insurance firm.

BUSINESS CHALLENGE

The insurer managed a hybrid infrastructure spanning SaaS platforms, AWS, Azure, and on prem systems. This created fragmented operations, low contextual visibility, and disconnected data flows. With 800+ enterprise applications and 40,000+ production batch jobs, the organization relied on disparate monitoring tools that lacked cohesive observability. As a result:

IT teams lacked end to end visibility
Incidents were often detected by business users before IT
Siloed operations made incident correlation and diagnosis difficult

The client needed a unified, AI driven operations model capable of predicting incidents, correlating cross domain signals, and automating remediation.

SOLUTION

Mphasis deployed an Agentic AI led ITOps transformation powered by our AI operations platform:

AIOps — Unified AI Platform for Intelligent Operations
Delivered a single operational view across the tech stack and established contextual linking between hundreds of applications.
AiSera AIOps Engine — Autonomous Prediction & Detection
Enabled real time cross domain observability, mapping an enterprise wide ITOps Ontology to predict and detect performance issues proactively.
Agentic AI for Automated Remediation
Using longitudinal behavior analysis, the system automated intelligent remediation with high accuracy—reducing manual intervention and accelerating root‑cause identification.

BENEFITS

The Agentic AI powered operations model delivered significant improvements:

50% improvement in overall business operations

67% accuracy in major incident prediction

50% reduction in MTTR, MTTD, and MTTA

3–5 hours of advance warning for major incidents and outages