[2026 Latest] VRIO Analysis of Internal Assets Using Generative AI: Methods for Creating New Businesses That Generate Discontinuous Growth

Many companies are facing the wall of "stagnation in new business ideas." It is difficult to escape the red ocean of the market by simply extending existing businesses. This is why the "redefinition" of internal assets using generative AI is currently attracting attention. By combining traditional VRIO analysis with LLMs (Large Language Models), it becomes possible to objectively extract "strengths that are difficult to imitate"—which humans alone might overlook—and chart a path for discontinuous growth. This article provides a detailed explanation of AI-driven business creation methods practiced in the field of hands-on consulting.

A clean Japanese office meeting room. On a wood-grain table, a laptop projecting a VRIO analysis framework written in Japanese and A4-sized business documents with sticky notes are laid out. The Tokyo skyline is visible through the window, with soft afternoon light streaming in. A plain white mug is placed in the foreground.

1. Generative AI Eliminates "Subjectivity" in VRIO Analysis

In traditional VRIO analysis (Value, Rarity, Inimitability, Organization), the most common trap is "internal bias." In our consulting practice, we often encounter cases where elements that management believes to be "our company's strengths" have actually become commoditized from the market's perspective. Generative AI evaluates resources from an extremely objective standpoint, backed by vast amounts of market data and competitor trends.

Figure: Comparison of Analysis Objectivity Between Traditional Methods and Generative AI Utilization (Metrics based on our consulting track record)

In our actual support projects, we begin by feeding LLMs "data lying dormant within the company that is so commonplace no one considers it valuable." For example, when we had AI analyze 10 years of customer support logs, we discovered that the know-how for solving "specific frustrations" in a certain niche industry possessed Value and Rarity that competitors could not replicate. In this way, AI serves as a powerful catalyst for verbalizing buried assets.

2. The "AI-Partnered" Redefinition Process to Break Through Idea Stagnation

The reason new business ideas dry up is that the framework of thinking has become fixed. "Sparring" with generative AI forcibly expands this framework. Rather than just generating ideas, we incorporate the company's VRIO elements as prerequisites (prompts) and simulate "new combinations" by crossing them with multiple business models from different industries.

In a Tokyo office, a Japanese male analyst is working at a large monitor. The screen displays a dashboard with complex data correlation diagrams and Japanese text. His gaze is focused on the figures on the screen, with a tablet placed nearby. Behind him is a whiteboard with detailed strategy diagrams written on it.

A common situation in the field is stagnation where a company has technical capabilities (strengths) but doesn't know which market to apply them to. Leveraging our expertise in In-house EC Construction and Growth Support, we use AI to reverse-engineer and identify the "market domain where the company's strengths can be sold at the highest value." Since AI can verify market fit for 100 patterns in seconds, humans can concentrate their resources on diving deep into the "2 or 3 most promising options."

3. Identifying Domains to Maximize Inimitability (I)

New businesses are often quickly imitated because the design of Inimitability is weak. In the 2026 business environment, simple functional differences are closed immediately. In AI-driven analysis, we devise strategies to intentionally build invisible barriers to entry, such as "historical conditions," "causal ambiguity," and "social complexity."

For example, by using AI to quantify the "intuition" of craftsmen accumulated over years in the manufacturing process and incorporating it into a service, a company can establish a unique advantage that competitors cannot catch up to even over several years. In our consulting practice, we are convinced that this "digitization of tacit knowledge" is the source of discontinuous growth.

A modern Japanese office. A Japanese female manager is deep in thought, pointing at sales forecast graphs and market analysis sheets displayed on a laptop screen. Organized Japanese documents are placed on the desk. A cityscape stretches out through the window in the background.

4. The Barriers to Social Implementation via Hands-on Consulting

Even if AI presents an excellent strategy, it is meaningless if it cannot be executed. The biggest reason new businesses stagnate is the "immune response" of the existing organization. In hands-on consulting, we translate the solutions generated by AI into a form the organization can accept and run small-start verification cycles.

In our In-house EC Construction and Growth Support as well, when integrating AI-driven demand forecasting into on-site operations, the key to success is how to lower the psychological hurdles for staff. It doesn't end with tool implementation; supporting them side-by-side until it is established as a culture is what makes discontinuous growth a reality.

FAQ

Q. Won't using generative AI lead to the leakage of our company's confidential information?
A. We operate on the premise of using APIs or building closed environments. We ensure settings where input data is not used for training, performing analysis only after guaranteeing security.
Q. Is analysis possible for SMEs that don't have assets they would call "strengths"?
A. Yes, it is. Many companies underestimate their "strengths." AI excels at discovering rarity in elements that may not seem like assets at first glance, such as customer interpretations, regionality, or history.
Q. What is the difference between hands-on consulting and general AI tools?
A. AI provides "answers," but it cannot handle the organizational alignment or risk management required for "execution." Based on our practical experience, we support the process of transforming AI solutions into tangible profits.

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Summary

To overcome stagnation in new business ventures, it is effective to incorporate generative AI as a form of "objective intelligence" into VRIO analysis and thoroughly redefine your company's assets. Identifying domains that are difficult to imitate through dialogue with AI, and adopting a hands-on, partnership-based approach to integrate these into field operations, will be the winning strategy for 2026 and beyond. To maximize your company's potential, start by taking an inventory of your existing assets.

Published: September 17, 2026 / By: Osamu Yasuda
WRITTEN BY
Osamu Yasuda

Osamu Yasuda

Senior Managing Director & COO

Meets Consulting Inc.

Supported 100+ EC operations & logistics projects; specialist in operations and cost optimization

References

  • [1] Jay B. Barney, "Gaining and Sustaining Competitive Advantage"
  • [2] Ministry of Economy, Trade and Industry "DX Report 2.1"
  • [3] Meets Consulting Practical Insights: Guidelines for Business Model Restructuring with Generative AI
Disclaimer: This article is for informational purposes only and is not intended as a substitute for professional advice. It does not guarantee any specific results.