How to View the Three Kingdoms as a Network of Relationships: Why Zhuge Liang's Problem-Solving Couldn't Become an Organizational System

Zhuge Liang was undoubtedly an exceptional problem-solver. Through the Longzhong Strategy, he diagnosed the weaknesses of Liu Bei's forces, designed the possibility of alliance with Sun Quan, and conceived Jingzhou and Yizhou as strategic strongholds. He embodied all the roles within a single person: strategist, diplomat, administrator, supply officer, and execution lead. In that sense, he closely resembled a modern FDE-type talent who understands field problems, structures complex relationships, and takes responsibility for execution.

However, the critical question lies elsewhere. Why couldn't Zhuge Liang complete an organizational system that would repeatedly produce integrated problem-solving talent like himself? This is the fundamental mechanism this article seeks to explore. While the comprehensive guide in Part 1 outlined the definition of FDE and five competencies, this article delves deeply into the operating principles of why individual excellence like Zhuge Liang's doesn't convert into organizational assets.

The reason excessive concentration occurs lies in the imbalance of authority structures. In Zhuge Liang's case, judgment and execution concentrating in one person wasn't simply a difference in competence—it meant the organization's decision-making structure itself was designed that way. He possessed judgment criteria for every stage from strategy formulation to field execution within his mind, but never documented or systematized them.

The root causes of this phenomenon are twofold. First, in complex situations, one person's judgment appears fastest and most efficient. When Zhuge Liang changed strategy or modified criteria in exceptional situations, successors had almost no opportunity to learn why it worked that way. Second, the organizational structures of that era lacked a mechanism to convert the tacit knowledge of key talent (knowledge in their head) into explicit organizational assets.

Core Point: Individual excellence becomes organizational risk at the moment when authority delegation doesn't occur.

* Lack of opportunities for successors to directly experience responsibility in decision-making
* Judgment criteria not documented, only transmitted implicitly
* Vulnerability where absence of key talent directly translates to organizational gaps

Ontology is a way of thinking that views "what connects and why." If we examine Zhuge Liang's knowledge from an ontological perspective, it would have been a network of relationships among people, events, resources, goals, rules, and actions. For example, "Jingzhou wasn't simply a piece of land, but a node connected to alliance trust, military supply, strategic timing, and talent acquisition."

However, if this network wasn't recorded in explicit language that others in the organization could understand, it remained solely as Zhuge Liang's personal asset. For an organization to structure problems using ontological methods, rather than simply stating "secure Jingzhou," it must explain to successors "why Jingzhou must be secured, how it connects to whom currently, and when that judgment should change."

Core Point: The fundamental reason tacit knowledge doesn't become explicit assets is that relationships and context weren't structured.

* Only "results" rather than "reasons" behind judgments were transmitted
* The "why" behind changing criteria in exceptional situations wasn't documented
* Connection links among people, data, tools, and processes existed only in individual experience

Zhuge Liang didn't fail to leave successors, but rather failed to create a system that repeatedly produced integrated competence like his own. While figures like Zhang Wan and Fei Yi existed, they didn't have sufficient opportunities to directly experience the problem definition, strategy design, and execution responsibility at Zhuge Liang's level.

This is an organizational structure problem. When a brilliant leader keeps all important decisions within their domain and positions successors only as assistants or executors, successors cannot experience the complete cycle of problem-solving. In other words, they don't experience how to define problems, what choices to make within constraints, or how to preserve learning as organizational assets when failure occurs.

Particularly important is the institutionalization of failure experience. When Zhuge Liang discovered the limitations of figures like Ma Su during the Northern Expedition, it wasn't simply a "failure"—it could have been organizational learning about "what type of talent is unsuitable in what circumstances." But if this wasn't institutionalized so successors could explicitly learn it and apply it to subsequent decisions, that experience disappeared with Zhuge Liang.

Core Point: When responsibility experience is absent, successors understand rules but not principles.

* Insufficient experience directly bearing responsibility in problem definition stages
* Insufficient experience judging trade-offs among multiple stakeholders
* Insufficient experience designing learning when their own judgments fail

When a single genius leads an organization, short-term results are excellent, but the process leaves no room to build sustainable systems. Zhuge Liang rapidly restructured Liu Bei's forces through the Longzhong Strategy, designed the Sun-Liu alliance, and secured Jingzhou and Yizhou strongholds. This was remarkable achievement, but in the process, the task of "systemizing so others can solve this problem the same way" was deferred.

Organizations in the AI era face the same choice. Distinguished individual achievement by excellent data analysts or field problem-solvers differs from standardizing the way those achievements are made so the entire organization can repeat it. The former is fast but highly volatile; the latter is slower but sustainable.

Core Point: If you abandon sustainable systems for quick results, the organization remains trapped in a structure dependent on key talent.

* Pressure to achieve medium-term targets pushes out long-term systemization activities
* The higher a genius's competence, the less they feel the need for "alternative approaches"
* The more experience of success, the more overlooked is the need for "learning through failure"

Viewed from an ontological perspective, what Zhuge Liang did was already design the Shu Han organization as a relationship network model. The military supply system was a connection of agriculture, household registers, and logistics; the diplomatic system was translation of interests among Sun, Liu, and northern forces; and strategy was binding terrain, power, legitimacy, and time into one long-term design. The problem was that this design wasn't made explicit so others could understand and execute it.

To become an FDE-type organization, successors must also be able to do this ontological structuring work that Zhuge Liang did. For example, successors should independently think: "In what relationship network is Jingzhou currently positioned?", "If X changes, what in this network must be redesigned?", "How will I persuade whom in that redesign process?"

For this to occur, authority structures must also change. Moving away from the structure where Zhuge Liang makes every decision, successors should be delegated full responsibility for strategy design and execution in specific areas, while that process is verified and transformed into a learning structure.

Core Point: To become an FDE organization, the organization must share ontological thinking and distribute authority.

* Convert relationship network design from individual competence to organizational process
* Clarify responsibility scope so successors can experience trade-off judgment within constraints
* Build mechanisms to record both failure and success as organizational learning

The danger organizations currently face has the same structure. When organizations become overly dependent on key talent driving AI adoption (data analysts, field problem-solvers, strategy formulators), the organization gains the same vulnerability as Zhuge Liang's era. When that person leaves or makes mistakes, the entire organization is affected.

In the AI era, change speed increases, data multiplies, and decision-making becomes more complex. In such environments, if "one genius holds all judgments in their head," the organization may appear to move quickly, but the moment that person disappears along with their judgment criteria, the organization loses direction.

Core Point: Building an organization that operates without Zhuge Liang is the organizational design challenge of the AI era.

* Process for converting individual tacit knowledge into organizational explicit assets is essential
* Institutionalize the entire cycle from problem definition to execution as repeatable
* Make judgment criteria in exceptional situations explicit and provide successors opportunities to apply them

As shown through Zhuge Liang's example, intentional design is necessary to convert individual excellence into organizational repeatability. The following five steps show how to actually implement this.

Relationship Network Clarification: Draw current problems as connections among "people, events, resources, goals, rules"

Documentation of Judgment Criteria: Record "why this decision was made," "under what constraints this choice was made"

Responsibility Area Delegation: Fully entrust strategy design and execution of specific problem areas to successors

Institutionalization of Failure Learning: Preserve failure cases as assets the organization can use again

Periodic Verification: Jointly analyze successors' judgments and execution results to strengthen organizational learning

Q1: If it's difficult to find talent like Zhuge Liang, how should organizations proceed?

A: Rather than finding one Zhuge Liang, it's more realistic to design the organization so multiple mid-level FDE-type talents can define and solve problems in their respective areas. Palantir's FDE model isn't about one genius engineer doing everything—it's about multiple engineers deployed in the field understanding and solving their respective problems. What matters is that they share common ontology (relational thinking) and accumulate their learning as organizational assets.

Q2: What specifically does it mean to make tacit knowledge explicit?

A: When Zhuge Liang says "Jingzhou is a strategic stronghold," the logic behind that judgment includes complex reasons like "essential for maintaining Sun's alliance, center of supply routes, defensive position against northern pressure, connection point to Yizhou." When these reasons are made explicit, successors can understand Jingzhou's importance structurally rather than through simple memorization. Additionally, when new situations like "if Sun's alliance breaks" arise, they can independently judge how Jingzhou's importance changes.

Q3: How can we balance between quick results and sustainable systems?

A: During organizational survival crises or urgent situations, concentrating one genius's competence may be necessary. However, even in that process, questions like "why did we judge this way?" and "who will perform this role next?" should be pursued in parallel. Particularly, the process of achieving short-term results itself can be shown to and jointly analyzed with successors, allowing long-term competence development to proceed simultaneously.

Kim Gab-yong and Shim Jae-woo, representatives of the Three Kingdoms AI Talent Research Institute, are reinterpreting these issues within the context of modern enterprises. Rather than viewing Three Kingdoms figures as simple heroic tales, by analyzing them from an ontological perspective—"in what relationship structure did who define and solve what problems?"—they identify what pitfalls AI-era organizations should avoid and what systems they should build.

Zhuge Liang's case is not merely a historical story. Today's organizations adopting AI are facing the question: "Who uses this technology, how do they use it, and how do we make that process repeatable?"

Zhuge Liang was the finest individual FDE, but Shu Han was not an FDE organization. This is the core proposition of this article. For individual excellence to convert into sustainable organizational competitive advantage, mechanisms are necessary to make tacit knowledge into explicit assets, provide successors with responsible experience, and accumulate failures as organizational learning.

AI-era organizations cannot survive on one Zhuge Liang alone. Instead, they must create structures where multiple people share Zhuge Liang-like thinking and can define and solve problems in their respective areas. This is the true competitive advantage of organizations combining ontological thinking with FDE competence.

For more detailed consultation and organizational diagnosis, contact 010-2397-5734 or jaiwshim@gmail.com.

| Item | Individual Competence-Centered | FDE Organization-Centered | Organizational Sustainability |
|---------|----------------------------------|------------------------------|--------------------------------|
| Decision-Making Structure | One person makes final judgment | Multiple levels of decision-makers exist | High risk when key talent absent vs. Distributed and stable |
| Knowledge Form | Tacit knowledge dependent | Explicit rules and processes | High personal dependence vs. Organizational asset conversion |
| Responsibility Experience | Successors only execute | Successors experience full cycle | Cannot make independent judgments vs. Capable of independent decision-making |
| Learning Mechanism | Failure → Individual lesson | Failure → Organizational learning asset | Difficult to repeat learning vs. Systematic improvement |
| Scalability | Bottleneck at key talent | Multiple talent portfolio | Growth limited vs. Expandable |

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