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Aflac Engineering

To deliver innovative digital solutions that enhance customer experience while providing financial protection and peace of mind to individuals.

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Align the strategy

Aflac Engineering SWOT Analysis

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To deliver innovative digital solutions that enhance customer experience while providing financial protection and peace of mind to individuals.

Strengths

  • PLATFORM: Robust digital claims processing system handling 86% of claims
  • INFRASTRUCTURE: Cloud migration completed for 78% of core systems
  • TALENT: Strong engineering workforce with 90% retention rate
  • SECURITY: Industry-leading data protection with zero breaches
  • PARTNERSHIPS: Strategic tech alliances with AWS and Microsoft

Weaknesses

  • LEGACY: 22% of systems still running on outdated architecture
  • INTEGRATION: Siloed data systems limiting cross-functional insights
  • TALENT: Skills gap in AI/ML and cloud native development
  • VELOCITY: Software delivery cycle 30% slower than industry best
  • ANALYTICS: Underutilized customer data capabilities

Opportunities

  • AUTOMATION: AI-powered claims automation to reduce costs by 35%
  • PERSONALIZATION: Leverage data for hyper-personalized offerings
  • MOBILE: Expand mobile app engagement for 24/7 customer service
  • APIs: Build open ecosystem for distribution and partner networks
  • ANALYTICS: Predictive modeling for improved underwriting accuracy

Threats

  • COMPETITION: InsurTech startups with digital-native platforms
  • SECURITY: Increasing sophistication of cyber threats targeting data
  • TALENT: Industry-wide competition for AI and cloud engineering talent
  • REGULATION: New data privacy laws impacting data collection
  • TECHNOLOGY: Rapid evolution requiring constant adaptation

Key Priorities

  • MODERNIZATION: Complete legacy system transformation to cloud
  • TALENT: Build AI/ML capabilities through hiring and upskilling
  • INTEGRATION: Unify data platforms for cross-functional insights
  • AUTOMATION: Accelerate AI implementation for claims processing
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Align the plan

Aflac Engineering OKR Plan

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To deliver innovative digital solutions that enhance customer experience while providing financial protection and peace of mind to individuals.

CLOUD MASTERY

Complete our cloud-first infrastructure transformation

  • MIGRATION: Decommission final 22% of legacy systems with zero customer impact by Q3
  • PERFORMANCE: Achieve 99.99% uptime for all cloud-based services, up from current 99.9%
  • COSTS: Reduce infrastructure costs by 25% through cloud optimization and right-sizing
  • AUTOMATION: Implement infrastructure-as-code for 100% of new service deployments
AI ACCELERATION

Embed AI capabilities across our technology ecosystem

  • TALENT: Hire 15 AI/ML specialists and upskill 50 current engineers through certification
  • GOVERNANCE: Launch enterprise AI framework with ethics standards adopted by all teams
  • PRODUCTION: Move 5 successful AI pilots to production serving 80% of customer base
  • AUTOMATION: Deploy AI-powered claims processing reducing manual review by 60%
DATA UNIFICATION

Create a single source of truth for customer insights

  • PLATFORM: Launch unified customer data platform integrating all touchpoints by Q3
  • QUALITY: Implement data quality program achieving 95% data accuracy across systems
  • ANALYTICS: Deploy self-service analytics tools for all business units with 70% adoption
  • INSIGHTS: Generate 25 actionable customer insights leading to $10M in new revenue
AGILE DELIVERY

Transform how we build and deliver digital solutions

  • VELOCITY: Reduce software delivery cycle time by 40% through CI/CD optimization
  • TEAMS: Restructure into 12 cross-functional product teams aligned to business outcomes
  • DEVOPS: Achieve 85% test automation coverage reducing regression testing time by 60%
  • MEASUREMENT: Implement DORA metrics across all engineering teams with weekly reviews
METRICS
  • DIGITAL TRANSACTIONS: 40% growth year-over-year
  • VELOCITY: Reduce software delivery cycle by 40%
  • CLOUD MIGRATION: 100% completion by end of Q3
VALUES
  • Customer-first innovation
  • Technical excellence
  • Data-driven decision making
  • Agile collaboration
  • Security and trust
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Align the learnings

Aflac Engineering Retrospective

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To deliver innovative digital solutions that enhance customer experience while providing financial protection and peace of mind to individuals.

What Went Well

  • DIGITAL: Mobile app transactions increased 27% YoY exceeding targets
  • EFFICIENCY: Cloud migration reduced infrastructure costs by 18.5%
  • SECURITY: Zero critical incidents during peak claims processing period
  • INNOVATION: MyAflac digital assistant handled 35% of customer inquiries
  • OPERATIONS: API platform processed 6.2M third-party transactions

Not So Well

  • VELOCITY: Core system update delivered 6 weeks behind schedule
  • INTEGRATION: Data sync issues between legacy and new systems persist
  • QUALITY: Customer-facing applications experienced 3 major outages
  • TALENT: Engineering role vacancies increased to 14% from 9% last year
  • ADOPTION: Digital claims submission growth fell 12% below projections

Learnings

  • AGILITY: Cross-functional teams deliver 40% faster than siloed teams
  • TECHNICAL: Microservices architecture proving more resilient & scalable
  • CUSTOMER: Japanese market requires different UX than US market
  • LEADERSHIP: Tech initiatives need business sponsors for org adoption
  • PROCESS: DevOps automation reducing deployment errors by 65%

Action Items

  • TALENT: Launch specialized AI engineering recruitment and training
  • ARCHITECTURE: Accelerate decommissioning of remaining legacy systems
  • INTEGRATION: Implement enterprise-wide API management platform
  • RELIABILITY: Enhance SRE practices to achieve 99.99% uptime
  • ANALYTICS: Deploy unified customer data platform across all channels
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Drive AI transformation

Aflac Engineering AI Strategy SWOT Analysis

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To deliver innovative digital solutions that enhance customer experience while providing financial protection and peace of mind to individuals.

Strengths

  • FOUNDATION: Strong data infrastructure supporting AI initiatives
  • ADOPTION: Early implementation of AI in claims processing
  • LEADERSHIP: Executive commitment to AI transformation
  • RESOURCES: Significant budget allocation for AI initiatives
  • EXPERIMENTATION: Successful AI pilots showing 22% efficiency gains

Weaknesses

  • TALENT: Limited specialized AI/ML engineering expertise
  • INTEGRATION: Fragmented approach to AI implementation
  • DATA: Inconsistent data quality across business units
  • GOVERNANCE: Underdeveloped AI ethics and governance framework
  • SCALE: Most AI initiatives remain in pilot phase

Opportunities

  • AUTOMATION: AI-powered underwriting reducing processing time by 60%
  • EXPERIENCE: Conversational AI improving customer satisfaction by 40%
  • INSIGHTS: Predictive analytics reducing fraud detection time by 75%
  • EFFICIENCY: AI process automation cutting operational costs by 30%
  • INNOVATION: Generative AI creating personalized policy documents

Threats

  • COMPETITION: Competitors implementing AI at faster pace
  • REGULATION: Evolving AI regulations affecting implementation
  • ETHICS: Potential bias in AI decisions impacting customer trust
  • ADOPTION: Internal resistance to AI-driven process changes
  • OBSOLESCENCE: Rapid AI evolution making investments outdated

Key Priorities

  • TALENT: Develop AI Center of Excellence with specialized engineers
  • GOVERNANCE: Establish enterprise AI framework and ethics standards
  • SCALE: Move successful AI pilots to production implementation
  • QUALITY: Implement data quality program to support AI initiatives