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Aig Engineering

To enable resilience through insurance by building cutting-edge technology platforms that deliver unmatched value to our clients worldwide.

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Align the strategy

Aig Engineering SWOT Analysis

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To enable resilience through insurance by building cutting-edge technology platforms that deliver unmatched value to our clients worldwide.

Strengths

  • INFRASTRUCTURE: Robust global IT infrastructure supporting operations
  • EXPERTISE: Deep technical talent with insurance domain knowledge
  • SECURITY: Industry-leading cybersecurity protocols and systems
  • INTEGRATION: Recent modernization of core insurance platforms
  • DATA: Extensive proprietary data assets across insurance segments

Weaknesses

  • LEGACY: Technical debt from legacy systems limiting agility
  • SILOS: Departmental data silos hindering cross-functional insights
  • ADOPTION: Slow digital adoption rates among traditional agents
  • TALENT: Challenges attracting top tech talent vs pure tech firms
  • SPEED: Extended development cycles for new digital products

Opportunities

  • AUTOMATION: Expand RPA for claims processing efficiency gains
  • MOBILE: Enhance mobile-first customer experiences for all products
  • APIS: Open insurance APIs to enable ecosystem partnerships
  • CLOUD: Accelerate cloud migration for improved scalability
  • ANALYTICS: Advanced risk modeling using expanded data sources

Threats

  • COMPETITION: InsurTech startups disrupting traditional processes
  • SECURITY: Increasing sophistication of cyber threats and attacks
  • REGULATION: Evolving data privacy regulations across markets
  • TALENT: War for tech talent intensifying across financial services
  • EXPECTATIONS: Rising client expectations for digital experiences

Key Priorities

  • PLATFORM: Accelerate legacy system modernization initiatives
  • DATA: Unify data architecture to enable cross-functional insights
  • DIGITAL: Enhance mobile and self-service customer experiences
  • TALENT: Implement aggressive tech talent acquisition strategy
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Align the plan

Aig Engineering OKR Plan

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To enable resilience through insurance by building cutting-edge technology platforms that deliver unmatched value to our clients worldwide.

MODERNIZE

Transform legacy systems into a flexible platform

  • ARCHITECTURE: Complete API-first microservices architecture design for core systems by Q2 end
  • MIGRATION: Migrate 50% of legacy applications to new cloud platform with zero service disruption
  • DECOMMISSION: Retire 15 legacy systems, reducing maintenance costs by $8M annually
  • AUTOMATION: Implement CI/CD pipeline for all new development, reducing deployment time by 65%
UNIFY DATA

Create a single source of truth for all insurance data

  • FOUNDATION: Deploy enterprise data lake architecture supporting all business units by June 30
  • QUALITY: Implement automated data quality monitoring with 95% accuracy across core systems
  • GOVERNANCE: Establish data governance council with representation from all business units
  • ANALYTICS: Enable self-service analytics for 2000+ users with standardized dashboards
DIGITIZE

Deliver exceptional digital experiences to all users

  • MOBILE: Launch next-gen mobile app with 99.9% reliability and 40% increased user adoption
  • PORTALS: Deploy unified agent portal supporting 100% of policy management functions
  • SELF-SERVICE: Enable digital-first claims submission with 75% straight-through processing
  • FEEDBACK: Achieve 85% CSAT score for all digital touchpoints through continuous improvement
TALENT UP

Build world-class engineering capability and culture

  • RECRUITMENT: Hire 75 senior engineers in cloud, data, and AI specializations by quarter end
  • RETENTION: Reduce technical talent turnover from 18% to 12% through enhanced career paths
  • UPSKILLING: Complete cloud and AI certification for 200 existing technical staff members
  • CULTURE: Achieve 85% engagement score in engineering organization through agile practices
METRICS
  • DIGITAL TRANSACTION RATE: 75% of all customer transactions completed digitally
  • DEPLOYMENT FREQUENCY: 25+ weekly production deployments across engineering teams
  • SYSTEM RELIABILITY: 99.99% uptime for all critical customer-facing applications
VALUES
  • Excellence in everything we do
  • Client-centric innovation
  • Data-driven decision making
  • Security and compliance
  • Continuous improvement
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Align the learnings

Aig Engineering Retrospective

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To enable resilience through insurance by building cutting-edge technology platforms that deliver unmatched value to our clients worldwide.

What Went Well

  • FINANCIAL: Strong performance in General Insurance with 96.1 combined ratio
  • DIGITAL: Increased digital policy applications by 22% year-over-year
  • CLOUD: Successfully migrated 35% of applications to cloud environment
  • SECURITY: Zero major security breaches despite increased threat landscape
  • ANALYTICS: New data lake implementation for commercial lines completed

Not So Well

  • LEGACY: Core system modernization projects behind schedule by 3 months
  • MOBILE: Mobile app user adoption below target at 28% vs 40% goal
  • TALENT: Tech employee turnover increased to 18% from 15% last year
  • INTEGRATION: Post-acquisition systems integration experiencing delays
  • AUTOMATION: RPA implementation hit technical obstacles in claims process

Learnings

  • METHODOLOGY: Agile transformation needs stronger executive sponsorship
  • PLANNING: Technology roadmaps require more business stakeholder input
  • ARCHITECTURE: API-first approach critical for enabling future growth
  • TRAINING: Technical debt reduction requires dedicated engineering time
  • METRICS: Digital adoption requires clearer KPIs and change management

Action Items

  • ACCELERATION: Increase engineering resources for platform modernization
  • EXPERIENCE: Conduct comprehensive UX audit of all digital touchpoints
  • TALENT: Implement enhanced tech career paths and retention programs
  • VISIBILITY: Create executive dashboard for technology transformation KPIs
  • EFFICIENCY: Standardize DevOps practices across all development teams
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Drive AI transformation

Aig Engineering AI Strategy SWOT Analysis

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To enable resilience through insurance by building cutting-edge technology platforms that deliver unmatched value to our clients worldwide.

Strengths

  • FOUNDATION: Established AI Center of Excellence with dedicated team
  • MODELS: Proprietary risk assessment models using machine learning
  • ADOPTION: Successfully deployed AI for claims triage automation
  • INVESTMENT: Significant budget allocated to AI initiatives
  • PARTNERSHIPS: Strategic AI vendor relationships established

Weaknesses

  • INTEGRATION: Limited AI integration with core insurance systems
  • SCALE: AI initiatives remain largely in pilot or limited deployment
  • GOVERNANCE: Inconsistent AI governance and ethics framework
  • TALENT: Shortage of AI/ML specialists with insurance knowledge
  • DATA: Data quality issues hampering model performance

Opportunities

  • UNDERWRITING: AI-powered automated underwriting for SMB segment
  • CLAIMS: End-to-end claims automation for standard cases
  • PERSONALIZATION: Hyper-personalized client experiences via AI
  • FRAUD: Advanced fraud detection through predictive analytics
  • PREDICTIVE: Risk prevention services using predictive modeling

Threats

  • COMPETITION: Tech giants entering insurance with AI advantages
  • INTERPRETABILITY: Regulatory scrutiny of AI decision-making
  • BIAS: Potential for algorithmic bias in insurance applications
  • IMPLEMENTATION: Significant costs of failed AI initiatives
  • ADOPTION: Agent resistance to AI-driven process changes

Key Priorities

  • SCALE: Move successful AI pilots to enterprise-wide deployment
  • TALENT: Upskill existing workforce on AI capabilities and tools
  • GOVERNANCE: Establish robust AI ethics and governance framework
  • INTEGRATION: Seamlessly integrate AI into core underwriting systems