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A GLOBAL INSURER ACHIEVED 60% EFFICIENCY WITH AI-LED LEGACY APPLICATION MODERNIZATION

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  • Global Insurer Accelerates Modernization with Mphasis AI Platforms

CLIENT OVERVIEW

 

A leading global insurance provider offering insurance, wealth management, and healthcare benefits across Canada and Europe.

BUSINESS CHALLENGE

The client relied on a 40‑year‑old monolithic legacy platform, built on a single, tightly coupled codebase with minimal modularity. Poor documentation, hardcoded business logic, and knowledge confined to a shrinking SME pool led to low productivity, high defect rates, and rising maintenance overhead. Previous modernization attempts had failed due to the complexity of the legacy system.

OUR SOLUTION

 

Mphasis executed an AI‑powered modernization program anchored by:

  • Mphasis- NeoZetaTM— AI agent for rapid legacy reverse engineering
    Used for high speed, agent driven reverse engineering of the legacy mainframe system.
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  • Mphasis- NeoSaBaTM — AI‑driven product definition & user story generation
    Enabled automated extraction of business rules, product configurations, and user stories to accelerate transformation.
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    Additional AI Enabled Capabilities:

    • Ontology based Knowledge Graph for long term knowledge preservation and decoupling logic from technology
    • Hybrid deterministic + GenAI parsing for precise code exploration and intelligent context extraction
    • Graph driven RAG to ensure factual, low hallucination outputs
    • Automated modernization artifacts, including business rules, data dictionaries, domain mappings, and process flows (BPMN/DMN)

BENEFITS

60% faster legacy code relearning and user story generation

50%+ reduction in dependency on rare legacy SMEs

Accelerated modernization, with 1.6M LOC relearned in under a month