The P&C insurance industry is about to lose nearly half of its workforce to retirement in the next five years, driven by the baby boomer exodus from the workforce. Much of that loss is deep expertise about underwriting, decades-honed claims handling skill, and the undocumented tribal knowledge that carry the day for carriers.
This "Great Retirement," also called "The Silver Tsunami," is fast approaching. According to a recent survey by APQC (American Productivity and Quality Center), 93% of insurance CxOs are genuinely concerned ("mission-critical", "strong", or "moderate" concern) about this knowledge hemorrhage. Coincidentally and paradoxically, the same percentage of carriers are not capturing knowledge consistently from departing employees before they walk out the door.
The result of this concern-complacency disconnect? A perfect storm of knowledge drain, compliance exposure, operational disruption, and customer experience degradation—unless insurers leap out of the "boiling frog" syndrome.
Methods Create Barriers
According to the survey, 83% of respondents capture knowledge using manual methods such as people-to-people transfer and time-consuming documentation, a Sisyphean approach that is neither scalable nor sustainable. No wonder time (mentioned by 62% of respondents) and resources (mentioned by 41% of respondents) topped the list of barriers to knowledge capture and management in the survey.
While interest in AI remains high, a stunning 87% of carriers surveyed have yet to operationalize it to automate knowledge capture and management. AI adoption has been slowed down by concerns about compliance (cited by 59%) and correctness of answers (cited by 38%). AI initiatives have been stymied by "garbage in, garbage out" where some carriers tried to slap AI onto enterprise knowledge silos of dubious consistency, accuracy, and compliance. No wonder a recent MIT survey found that only 5% of AI deployments have created any business value!
Trusted Knowledge Foundational to AI Success
The precious few AI-savvy carriers succeed in AI with a trusted knowledge infrastructure, which addresses adoption barriers such as correctness of answers and compliance head-on. At the same time, these organizations use AI to automate the knowledge capture, management, and optimization process:
- Capture questions that are the highest in volume, value, and complexity, and mine gold-standard answers for them from customer interactions with high-performance agents and intra-enterprise conversation stores among SMEs
- Capture procedures from flowcharts into in-band guidance for customer conversations
- Create drafts of knowledge articles that are aligned with the brand voice for human experts in the loop to review and approve
- Curate content to make it findable and AI-ready
- Analyze and optimize to identify gaps and improve knowledge performance
Winning best practices
Leading carriers treat knowledge as a strategic asset rather than a collection of documents and unstructured content. Their best practices include:
- Using AI to continuously capture expertise from daily work, not just end-of-career interviews
- Embedding trusted knowledge in claims, underwriting, and customer service systems
- Including compliance checks in knowledge workflows to ensure that answers are correct and aligned with regulatory requirements
- Training employees to use AI tools as assistants and not adversaries
A 10X acceleration in creation and curation of knowledge and a 3X acceleration in time-to-value is possible when companies use AI well.
The Bottom Line
With AI-powered knowledge capture and management, forward-thinking carriers capture, preserve, and activate institutional knowledge at scale—so every employee—from new adjusters to seasoned underwriters—can access trusted answers and the best thinking the organization has to offer exactly when they need it. Others are well advised to follow suit lest the Silver Tsunami sweep them away!
