Institutional Knowledge Is Leaving Faster Than It Can Be Replaced
How Alchemist AI Pro™ Captures Knowledge That Can Be Swept Away in the Silver Tsunami
BLUF: ACC3's Alchemist AI Pro™ is Tradewinds-awardable and accelerates extracting and exploiting valuable knowledge resources.
Purpose
Businesses' advantages and capability are dependent on the knowledge and skills of their people, and both are tied to the retention of effective staff. One of the current business challenges comes from our aging population; people are leaving the work world and the replacement of their skills and knowledge is not straightforward. In the US approximately 11,000 people reach age 65 every day, a number almost equal to the number turning 18 (10,950). While this means there are people available, it does not account for the time and resources needed to skill them up.
Adding to the time needed to develop people with knowledge and skill sets is the shorter duration that employees under the age of 35 stay with a company. According to the Bureau of Labor Statistics (BLS), this is approximately 2.8 years for under-35s versus 4.6 years for the group older than 35.
The challenge for industry is that we are in what the BLS informally calls the "Peak 65 Zone," the period between 2024 and 2027, with the retirement of 4.1 million people annually maximizing the loss of skills and knowledge. Adding to this is the unwritten information and work methods that the retiring workforce has accumulated, which is not easily transferred to new hires. Some skills examples are work heuristics like:
- Knowing when a process stage has reached "the ready to proceed" state
- Understanding when to add resources to handle backlog and when to decrease them
- Ordering the correct level of supplies for the expected demand without over or under supply
Capturing people's comprehension, skills, and experience while improving management of that knowledge and then effectively imparting it to replacements is key.
The Problem: Knowledge Mining Has Not Been Completely Fruitful
A study by Click Boarding, a company in the business of managing the on/off boarding of employees, indicates that it takes 12 months or more for an employee in a role requiring high skills or knowledge to become effective. Knowledge Mining (KM) of incumbent employees is an important source for skilling up people. An ACM study from 2003 identified an effectiveness gap in capturing understanding as distinct from information and knowledge. Modern AI pipelines and knowledge graphs successfully automate the extraction of formal skills, training needs, and procedural workflows, but "quiet expertise" remains difficult to harvest.
Businesses know that retiring resources have information that is essential to the continued health of the business and is a means to grow companies, but getting all of it imparted to their successors has gaps. There is significant improvement needed in addressing the KM gap in currently deployed methods.
Gallup connected with employers about staff skills competence and retention and identified a "time and training content gap" in onboarding new hires. Further, the effectiveness of the onboarding process has effects on the retention of workers. Increasingly, organizations are accepting that training alone does not equal immediate readiness, full productivity, and cultural alignment.
Companies are appreciating that there is a limited amount of time to knowledge-enable new hires and that any collected information is not in a form that is easy to learn from, increasing the strain on coming up to speed. The Knowledge Management Institute (KMI) asserts that a company's onboarding gap can be based on a poor offboarding process. When senior workers leave, they take unwritten rules, client preferences, and nuances with them. Organizations that do not structure onboarding and offboarding as a continuous lifecycle of information transfer to and from people risk losing what makes them competitive.
ACC3 International's Response: Using Alchemist AI Pro™ to Stem Knowledge Loss
Alchemist AI Pro™'s ability to capture, rationalize, and publish information documenting business operations extends beyond just software solutions. Its capacity to take in material like meeting notes, user comments, interview questions and answers, and system documentation and process it into coherent and consistent process information, user journeys, and validation (testing) criteria provides structure and flow. With that structure and flow in place, people have an easier time comprehending and internalizing what is being done and how. The improvement in comprehensibility decreases time to reach skills and knowledge competence for new hires.
With the structure and action in a consistent format, every participant has a common understanding, reducing miscommunication and misalignment. Additionally, changes to resourcing are handled cleanly and with minimal interruption. Having the knowledge exposed in clear and consistent forms decreases the effort in dealing with knowledge management and makes knowledge transfer from incumbent to new hire smoother.
Alchemist AI Pro™ is key to the solution of collecting knowledge from the retiring workforce; it captures and integrates information into usable knowledge. Differences in source and style cease making the content disjointed, taking on a common voice and making it more readily consumed.
The Benefits
Benefits from tapping Alchemist AI Pro™ to retain evaporating knowledge and related skills are clear and break out into key areas:
- Knowledge capture. Learners are provided with information that is better aligned with reality, leading to more complete system understanding.
- Process documentation. Alchemist AI Pro™ provides artifacts covering processes from the steps to perform, why they are done, and how they fit together.
- Quality assurance. Specific checks to verify steps are generated, giving people a clear understanding of correct outcomes.
For teams working to hold onto vanishing information, the value is immediate and broad.
Effective content capture. Alchemist AI Pro™ captures and integrates knowledge from different groups and in different forms, molding them into standardized content.
Subtleties of interviews and conversations are recorded along with concrete information. Details of the information captured are maintained rather than lost. Better tracking of experience and hard-to-impart information results in a more complete picture.
Higher information fidelity. Consuming the captured content, Alchemist AI Pro™'s documentation and artifacts form a more accurate representation of the state of the system. The results from processing via the LLMs are aligned and presented in immediately usable formats.
Information materialization. Knowledge is captured and becomes another company asset instead of being locked in the brains of multiple veteran employees. The rendering of the information helps address both the loss of long-term staff and shorter tenures for newer hires. Both reference documentation and training content can be sourced from these key assets.
Getting Started with ACC3 International
ACC3 International recommends a focused demonstration with your team or designated staff representatives. Contact ACC3 at info@acc3int.com or +1.619.330.5858 to schedule a demonstration of Alchemist AI Pro™ and assess how it can stop the loss of irreplaceable company knowledge assets.
References
APQC Study Warns of Looming "Great Retirement" Crisis, Highlights Role of AI and Knowledge Management to Mitigate Risk. (2025). APQC. https://www.apqc.org/about-apqc/news-press-release/apqc-study-warns-looming-great-retirement-crisis-highlights-role-ai
Click Boarding. (2025, May 14). How long does it take for a new employee to be productive? Click Boarding. https://www.clickboarding.com/click-boarding-resources/how-long-does-it-take-for-a-new-employee-to-be-productive/
Desouza, K. C. (2003). Barriers to effective use of knowledge management systems in software engineering. Communications of the ACM. https://cacm.acm.org/opinion/barriers-to-effective-use-of-knowledge-management-systems-in-software-engineering/
Gallup. (2018, May 16). Why the onboarding experience is key for retention. Gallup. https://www.gallup.com/workplace/235121/why-onboarding-experience-key-retention.aspx
KM Institute. (2025). https://www.kminstitute.org/blog/onboarding-offboarding-a-continuous-km-lifecycle
LinkedIn. (2026). https://www.linkedin.com/pulse/gap-between-training-readiness-new-hires-matt-sunshine-wnedc/
Schroeder, G. (2025, December 19). The most critical asset in many organizations isn't code or real estate; it's the institutional knowledge locked in the heads of senior employees. LinkedIn. https://www.linkedin.com/pulse/silver-tsunami-ai-calculating-roi-capturing-knowledge-grace-schroeder-4gbqe/
Subramaniam, A. (2026, January 11). Knowledge exodus from the silver tsunami in the industrial products sector: It is AI or bust. Association for Talent Development. https://www.td.org/content/atd-blog/knowledge-exodus-from-the-silver-tsunami-in-the-industrial-products-sector-it-is-ai-or-bust
Sun, Z., Ding, H., Tian, D., Chen, Y., & Zhang, K. (2025). Research on human resource mining methods based on knowledge graphs and graph neural networks. Proceedings of the 2025 3rd International Conference on Artificial Intelligence, Systems and Network Security, 170–176. https://doi.org/10.1145/3797161.3797188
U.S. Bureau of Labor Statistics. (2008, July 19). Job Openings and Labor Turnover Survey home page. https://www.bls.gov/jlt/
