TalksAWS re:Invent 2025 - Transforming Lincoln Financials' Gen-AI powered CX with AWS & Deloitte (AIM213)
AWS re:Invent 2025 - Transforming Lincoln Financials' Gen-AI powered CX with AWS & Deloitte (AIM213)
Transforming Lincoln Financials' Gen-AI Powered CX with AWS & Deloitte
Lincoln Financial's AI Journey
Early Approach and Lessons Learned
Lincoln Financial started their AI strategy early, with multiple leadership and education sessions in 2023-2024
Initially, they took a conservative approach to understand risks around data, privacy, and regulations
Over time, as they gained more pattern recognition, they were able to expand their risk aperture and move faster with Gen-AI use cases
Workforce Enablement and Change Management
Established a tight partnership with HR to roll out an "Inspire AI" program for workforce training and education
Provided role-specific training on Gen-AI use cases to make it tangible and practical for different business functions
Leveraged a "crowd enablement" approach, including in-person and recorded training sessions to get everyone involved
Aligning on Strategic Priorities and ROI
Brought business and IT leaders together to align on a strategic ROI framework and prioritization model for Gen-AI use cases
Focused on balancing big bets with the ability to test and learn quickly, aiming for production deployments to get the best feedback
Increased appetite for refactoring capabilities every 6 months to keep up with the rapid technology cycle
Organizational Transformation and Operating Model
Centralized AI and Data Capabilities
Established a centralized Data Office to help unlock value trapped between organizational silos and build end-to-end data science competencies
Took a three-pronged approach:
Common, scalable platforms and user journeys
Vertical, business-specific use cases
Democratized, self-service Gen-AI tools for the "crowd"
Federated Organization Alignment
Navigated the challenges of a federated organizational structure by:
Ensuring all stakeholders were at the table for decision-making
Identifying common user journeys and foundational platforms
Empowering business units to innovate on vertical use cases
Providing self-service Gen-AI tools for the broader workforce
Key Use Cases and Outcomes
Distribution and Customer Experience
Focused on improving the experience for financial advisors and independent agents
Developed a Gen-AI powered "knowledge assistant" to help advisors quickly find information on products, rates, and policies
Iteratively improved the solution, starting at 70% accuracy and reaching 95% through close business-IT collaboration
Gained valuable lessons on building the AI infrastructure, including model selection, observability, and refactoring
HR and Workplace Solutions
Explored Gen-AI use cases in HR and workplace solutions, but quickly realized that off-the-shelf tools were a better fit than building in-house
Focused on identifying the right balance between building vs. buying to maximize value and minimize effort
The Road Ahead
Scaling and Expanding Gen-AI Capabilities
Plan to focus on 2-3 key "end-to-end" journeys to take to scale in 2026, such as:
Enhancing the distribution and sales experience
Optimizing workplace and group benefits solutions
Improving the AI-powered SDLC and internal IT processes
Building an "innovation platform" to accelerate the feedback loop and scale Gen-AI solutions
Increase cycle time for responding to user feedback
Integrate security and quality controls systematically
Demonstrate tangible business impact to drive further adoption
Key Takeaways
Lincoln Financial took a strategic, top-down approach to their Gen-AI transformation, with strong leadership commitment and alignment
They focused on building foundational capabilities, upskilling the workforce, and balancing big bets with the ability to test and learn quickly
The organization navigated the challenges of a federated structure by identifying common platforms, empowering business units, and democratizing Gen-AI tools
Key use cases in distribution and customer experience demonstrated the value of Gen-AI, while also providing valuable lessons on building the underlying infrastructure
Looking ahead, Lincoln is focused on scaling and expanding their Gen-AI capabilities across critical business journeys, underpinned by an "innovation platform" to accelerate the feedback loop and demonstrate tangible impact
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