"This place can't run without that person." If those words ring a bell, it's a sign of key-person dependency.

In Teikoku Databank's "Survey on Corporate Trends Regarding Labor Shortages," conducted in January 2026, 52.3% of companies reported a shortage of full-time employees, the fourth consecutive year that the figure has exceeded half. As labor shortages become the norm, the risk of key-person dependency, where work becomes concentrated in a single individual, is higher than ever.

At the same time, the 2025 White Paper on Small and Medium Enterprises shows a tendency for businesses that actively work to prevent the siloing and black-boxing of operations to see greater growth in added value. Eliminating key-person dependency is not merely about avoiding risk; it is a management challenge that drives corporate growth.

This article first organizes the causes and risks of key-person dependency, then explains concrete ways to resolve it, ranging from conventional measures to the latest AI-driven approaches.

What Is Key-Person Dependency?

Key-person dependency refers to a state in which the way work is carried out and the criteria for making decisions depend on the experience and skills of a specific individual, such that no one else can handle the task. Its antonym is "standardization," and the ideal is a state in which anyone can perform the work to the same level of quality.

A term similar to key-person dependency is "black-boxing." As key-person dependency progresses, the reality of how the work is done becomes invisible to those around it, developing into a black box. Both threaten the sustainability of operations, but it is helpful to think of key-person dependency as the stage that precedes black-boxing.

That said, key-person dependency is not entirely negative. The presence of highly skilled specialists can be a source of a company's competitive strength. The problem is when that expertise and know-how are "not shared." A mechanism that leverages individual strengths while accumulating knowledge within the organization is the essence of resolving key-person dependency.

Five Causes of Key-Person Dependency

Key-person dependency arises not from individual negligence but as a structural problem of the organization. There are five main causes.

1. Concentration of Work Due to Staff Shortages

This is the most frequently cited cause. In a survey on "Staff Shortages and the Siloing of Work" conducted by SMB Co., Ltd. in January 2025, roughly 80% of managers in the construction and manufacturing industries reported feeling a staff shortage, and "staff shortage" ranked first among the causes of key-person dependency. The accumulation of decisions such as "it's faster to just leave this to that person" leads to work becoming concentrated in a specific individual.

2. Lack of Documented Procedures

When work procedures and decision-making criteria are not documented and reliance is placed on OJT and verbal handovers, tacit knowledge accumulates within specific individuals. According to the Ministry of Health, Labour and Welfare's "FY2024 Basic Survey on Human Resources Development," 59.5% of establishments cited "a shortage of people to provide guidance" as a problem in skills development, and 47.4% cited "no time to develop human resources," indicating that the very resources needed for training and documentation are in short supply.

3. The Influence of Evaluation Systems

In some cases, the awareness that "having work only I can do" translates into one's value within the company encourages intentional key-person dependency. Without a system that rewards knowledge sharing, hoarding knowledge becomes the rational choice for the individual.

4. The Specialization and Complexity of Work

Work that requires advanced expertise, such as legal affairs, accounting, IT, or skilled techniques in manufacturing processes, inherently limits the number of people who can handle it. In such cases, key-person dependency is structurally difficult to avoid, so an approach of "building a mechanism to share knowledge" is needed more than "adding people."

5. Failure to Keep Up with a Changing Environment

This is a pattern in which, in the process of responding to legal revisions, shifts in technology trends, and changes in the market environment, the latest information and methods accumulate only within a specific individual. The faster the pace of change in a field, the more easily this type of key-person dependency arises.

Four Risks of Leaving Key-Person Dependency Unaddressed

The Risk of Operations Coming to a Halt

This is the risk that work stops entirely when the responsible person takes leave, resigns, or transfers. In the aforementioned SMB survey as well, "an increased burden on employees" and "reduced operational efficiency" ranked high among the risks of key-person dependency, and the impact of an absence is most severe for tasks handled by only one person.

Inconsistent Quality

Because decision-making criteria differ from person to person, the quality of deliverables is unstable. In customer-facing situations, this can even lead to different answers depending on who is responding.

Stalled Process Improvement

Because the processes of siloed work are not made visible, they do not even become candidates for improvement. This causes inefficient methods to go unaddressed for long periods.

Hindered Organizational Growth

When knowledge is confined to specific individuals, learning as an organization does not advance. Training new employees takes time, and scaling operations becomes difficult. The 2025 White Paper on Small and Medium Enterprises (based on Teikoku Databank's "FY2024 Survey on the Management Challenges and Business Activities of SMEs") also shows a difference in the rate of added-value growth between businesses that work to prevent key-person dependency and those that do not.

A Prerequisite for Resolution: Classifying Tacit Knowledge into Three Types

To resolve key-person dependency, you first need to correctly classify "what exactly has become dependent on a key person." The essence of key-person dependency lies in the accumulation of tacit knowledge (knowledge that has not been put into words), and tacit knowledge can be divided into three types according to its nature.

Procedural Tacit Knowledge

This is knowledge about "how to do it." It includes work procedures, operating methods, the order of tasks, and the knack for getting things done. For example, practical know-how such as "to adjust this equipment, first check XX before touching YY." This type is relatively easy to put into words and can be converted into explicit knowledge through manuals and videos.

Judgment-Based Tacit Knowledge

This is knowledge about "how to decide." It includes decision-making criteria that depend on the situation, rules for handling exceptions, and the intuition gained from experience. Decision criteria such as "if this figure is around this level there's no problem, but if these conditions overlap, watch out" are characteristically difficult to clearly explain, even for the person themselves.

Values-Based Tacit Knowledge

This is knowledge about "why we do it this way." It is tacit knowledge rooted in the culture of the organization and the values of the individual, such as management philosophy, principles of conduct, the way of engaging with customers, and the attitude toward quality. A founder's management philosophy or a veteran's outlook on their work falls into this category. It is the hardest to put into words and, at the same time, the most important knowledge for the organization.

Countermeasures for key-person dependency must proceed with methods suited to each of these three types of tacit knowledge. Manuals are effective for the procedural type, but for the judgment-based and values-based types, they alone are insufficient. The use of AI, discussed below, is particularly effective for passing on judgment-based and values-based tacit knowledge. For the suitability of AI for inheriting each of the three classifications and the concrete steps involved, see How to Pass On Tacit Knowledge with AI for a detailed explanation.

Five Ways to Eliminate Key-Person Dependency

Method 1: Visualizing and Taking Stock of Work

The first step is to make visible "who is doing what, and how." Compile a list of all tasks and map each one along two axes: "importance" and "degree of key-person dependency." Prioritize measures for tasks that are both highly important and highly dependent on a key person.

Method 2: Creating Manuals and Procedure Documents

This is the most basic countermeasure for procedural tacit knowledge. However, a thick manual won't get read. The key is to organize it in a "searchable" form. Use an internal wiki or knowledge base tool to create a state in which the necessary information can be accessed immediately when needed. Video manuals are also effective for sharing operational procedures that are hard to convey through text alone.

Method 3: Building a Mechanism for Knowledge Sharing

Creating manuals tends to become a "one-time task." To accumulate and update knowledge continuously, you need a mechanism in which knowledge is shared naturally as part of daily work. Concretely, this includes sharing daily work reports, recording reviews for each project, and building a database of response histories. What matters is embedding knowledge sharing itself into the workflow.

Method 4: Multiple-Owner Systems (Cross-Training)

Create a state in which multiple people can perform a single task. By introducing job rotation and pair work, you prevent knowledge and skills from concentrating in one person. In the short term it may look like productivity drops, but over the medium to long term, the stability of operations and the flexibility of the organization improve significantly.

Method 5: Digitizing Tacit Knowledge Using AI

Methods 1 through 4 above are conventional measures, and although many companies are already working on them, there are not a few cases where they are not functioning adequately. The main reasons are a shortage of resources on the front lines: manual updates can't keep up, and there's no time to spare for knowledge sharing.

Using AI, you can fundamentally change this bottleneck. In the next section, we explain concrete ways to put it to use.

Three Approaches to Eliminating Key-Person Dependency with AI

Eliminating key-person dependency with AI can be carried out effectively by mapping it to the three types of tacit knowledge classified earlier.

Approach 1: Making Procedural Tacit Knowledge Searchable with an Internal FAQ Chatbot

Feed internal documents, manuals, and past response histories into an AI, and build a mechanism in which employees can ask questions in a chat format. Using a technology called RAG (Retrieval-Augmented Generation), the AI searches internal data and generates answers with citations.

By having the AI answer questions such as "How should I process this application?" or "How was this kind of trouble handled in the past?" on behalf of veteran employees, you can disperse the concentration of inquiries and reduce the burden on the responsible person.

This approach is most effective when procedural tacit knowledge is scattered around. The more existing documents an organization has, the sooner results can be expected.

Approach 2: Passing On Veterans' Know-How by Reproducing Decision Criteria with AI

This is a method of interviewing and recording a veteran employee's decision-making process and building an AI that can answer using the same decision criteria. It is effective for passing on judgment-based tacit knowledge.

For example, you can have the AI learn experience-based judgments such as the criteria a salesperson uses to judge whether a quote is reasonable, or the checkpoints a quality-control staffer uses when issuing a fail decision. It is important to operate by verifying whether the AI's answers match the veteran's judgments while improving accuracy.

The challenge with this approach is that extracting the decision criteria takes time. It requires interviewing veterans and collecting and organizing past cases of judgment. As a method of skills transfer it is the most labor-intensive, but the payoff is also large. For how skills transfer plays out by industry, see How to Use AI for Skills Transfer.

Approach 3: Passing On Organizational Culture with a Conversational AI That Reproduces Values and Philosophy

The most difficult is passing on values-based tacit knowledge. Knowledge that defines "what makes this organization itself," such as a founder's management philosophy, the organization's code of conduct, and the attitude toward customer service, is hard to turn into either a manual or a set of decision criteria.

In this area, a conversational AI (personal AI) that has learned a specific person's statements, ideas, and values is becoming one solution. For example, you can have the AI learn an executive's past statements, writings, and internal messages, creating a mechanism in which employees can refer to the executive's way of thinking through dialogue.

A new employee asks the conversational AI, "How would the founder decide in this situation?" and receives an answer grounded in the management philosophy. This kind of use holds possibilities for instilling philosophy and for onboarding that conventional methods could not achieve.

That said, this approach also has points to note. Because the AI's answers depend on the quality of the underlying data, careful selection of the information to be learned and verification of accuracy are essential. In addition, you need operational rules that treat the AI's answers as reference information rather than using them directly as the basis for decisions.

Steps for Advancing the Elimination of Key-Person Dependency

Eliminating key-person dependency is not a one-time effort but a continuous process of improvement. Proceed step by step as follows.

Step 1: Take stock of the current situation. List all operations and identify "tasks handled by only one person." Set priorities along two axes: impact (the damage if the task were to stop) and degree of dependency (whether anyone can substitute).

Step 2: Classify the tacit knowledge. Map it to the three classifications described above (procedural, judgment-based, and values-based), and select the measures suited to each. You do not need to address everything at once.

Step 3: Start small. Begin with tasks that are high-impact and whose tacit knowledge is relatively easy to put into words. If it is procedural tacit knowledge, you can start by organizing FAQs and creating manuals. Even when considering AI adoption, it is realistic to start with a PoC (proof of concept) in a limited area.

Step 4: Embed it as a mechanism. Build the manuals and FAQs you create into daily work so they continue to be used. Set up a mechanism to take stock of knowledge each quarter and check whether new key-person dependency has emerged.

Step 5: Measure the results. The effects of eliminating key-person dependency can be measured with indicators such as "the rate of business continuity during a responsible person's absence," "the change in the number of inquiries," and "the time it takes for a new hire to become self-reliant." Demonstrating quantitative results makes it easier to gain organization-wide understanding of and cooperation with the initiative.

Summary

Key-person dependency is not an individual problem but a structural challenge for the organization. It arises from a combination of causes, including staff shortages, a lack of documented procedures, evaluation systems, and the specialization of work.

In resolving it, it is important to first correctly grasp "what exactly has become dependent on a key person" and to choose measures according to the type of tacit knowledge (procedural, judgment-based, or values-based). In addition to conventional manual creation and cross-training, digitizing tacit knowledge with AI is effective as a means of resolving the fundamental bottleneck of a shortage of resources.

Preventing key-person dependency is not something that is completed with a single initiative. The key to building an organization that "runs even without that person" is to embed a mechanism for continuously accumulating and updating knowledge into the workflow and to keep improving it.

Teraverse provides generative AI solution development tailored to the type of tacit knowledge, such as AI for searching internal knowledge and conversational AI that passes on an executive's philosophy. If you are considering using AI to eliminate key-person dependency, please feel free to contact us.