Knowledge Transfer: Capturing Expert Knowledge Before Employees Retire
December 07, 2025 | Leveragai | min read
The departure of experienced employees—especially through retirement—can leave organizations vulnerable to losing decades of accumulated expertise. Knowledge transfer is the process of systematically capturing, documenting, and sharing this critical insti
Knowledge Transfer: Capturing Expert Knowledge Before Employees Retire
The departure of experienced employees—especially through retirement—can leave organizations vulnerable to losing decades of accumulated expertise. Knowledge transfer is the process of systematically capturing, documenting, and sharing this critical institutional knowledge before it disappears. As the “Great Retirement” accelerates (APQC, 2025), organizations must act decisively to ensure that operational know-how, client relationships, and problem-solving insights are retained. Leveragai’s AI-powered learning management system offers a structured, scalable way to capture expert knowledge, making it accessible to future generations of employees.
The Retirement Cliff and Its Impact on Institutional Knowledge The term “retirement cliff” refers to the sudden loss of a large proportion of senior staff within a short timeframe (Enterprise Knowledge, 2025). This phenomenon is particularly acute in industries with aging workforces, such as manufacturing, aerospace, and public sector agencies. When these employees leave, they take with them tacit knowledge—unwritten processes, decision-making heuristics, and historical context—that cannot be easily replaced.
For example, NASA’s APPEL Knowledge Services has documented how mission-critical expertise can be lost during staff transitions if proactive measures are not taken (NASA, 2021). In one case, a retiring engineer’s undocumented troubleshooting method for a propulsion system was nearly lost, leading to costly delays in a subsequent mission.
Why Knowledge Transfer Often Fails Despite the clear risks, many organizations struggle to implement effective knowledge transfer programs. Common barriers include:
1. Lack of formal processes for capturing tacit knowledge. 2. Perception that documentation is time-consuming or secondary to daily tasks. 3. Difficulty translating experiential insights into structured training materials. 4. Limited tools for organizing and disseminating captured knowledge.
These challenges are compounded by the fact that retiring employees may be reluctant to engage in lengthy documentation efforts during their final months of service.
Strategies for Capturing Expert Knowledge Before Retirement Organizations can mitigate knowledge loss by adopting a multi-pronged approach:
Conduct Structured Interviews Facilitated interviews with subject matter experts can reveal decision-making processes, lessons learned, and contextual insights that are not captured in manuals.
Implement Mentorship Programs Pairing retiring employees with junior staff creates opportunities for hands-on skill transfer. This approach also fosters relationships that encourage informal knowledge sharing.
Leverage AI-Powered Knowledge Capture Tools Platforms like Leveragai enable organizations to record expert insights in real time, converting spoken explanations into searchable, structured content. This reduces the burden on retiring employees and ensures information is stored in a centralized repository.
Create Multimedia Documentation Video walkthroughs, annotated diagrams, and interactive simulations can capture complex processes more effectively than text alone.
Integrate Knowledge Transfer into Succession Planning Knowledge capture should be embedded within broader workforce planning efforts, ensuring that incoming employees have access to the resources they need from day one.
Case Study: Leveragai in Action A mid-sized engineering firm faced the retirement of three senior project managers within a six-month period. Using Leveragai’s AI-driven knowledge capture module, the company recorded detailed project histories, client preferences, and troubleshooting protocols. These were integrated into the firm’s learning management system, allowing new hires to access curated onboarding paths tailored to their roles. As a result, the transition was seamless, and project continuity was maintained without loss of quality or efficiency.
Frequently Asked Questions
Q: How can organizations motivate retiring employees to participate in knowledge transfer? A: Offering recognition, flexible scheduling, and streamlined tools like Leveragai’s voice-to-text capture feature can make participation easier and more rewarding.
Q: Is knowledge transfer only relevant for technical roles? A: No. While technical expertise is often emphasized, institutional knowledge also includes customer relationship management, cultural norms, and strategic decision-making processes.
Conclusion
The impending wave of retirements represents both a challenge and an opportunity. Organizations that act now to capture expert knowledge can safeguard their operational resilience and maintain competitive advantage. Leveragai provides the tools to make this process efficient, scalable, and employee-friendly. By embedding knowledge transfer into everyday workflows, businesses can ensure that the wisdom of today’s experts becomes the foundation for tomorrow’s success.
To explore how Leveragai can help your organization retain critical expertise before it’s lost, visit our Knowledge Transfer Solutions page or schedule a consultation with our team.
References
APQC. (2025, October 10). Great retirement findings: What teams can do about knowledge loss. Retrieved from https://tektome.com/expertise-center/blog/great-retirement-findings Enterprise Knowledge. (2025, October 14). Navigating the retirement cliff: Challenges and strategies for knowledge capture and succession planning. Retrieved from https://enterprise-knowledge.com/navigating-the-retirement-cliff-challenges-and-strategies-for-knowledge-capture-and-succession-planning/ NASA APPEL Knowledge Services. (2021, December 16). Knowledge capture and transfer. Retrieved from https://appel.nasa.gov/critical-knowledge/knowledge-capture-and-transfer/

