Future Value Creation Capability Assessment

What Is Future Value?

Future Value is not future profit. Nor is it the discounted present value of future cash flows.

It is the capability to create value that does not yet exist.

The capability to create new markets. To turn societal challenges into management resources. To continuously redefine the enterprise. To allocate capital to the future. To use AI to expand human possibility.

Enterprise value is how the market evaluates the result. Profit, share price, and market capitalization are all results.

Future Value is the cause. Enterprise Value is the result.

This is the central idea behind Future Value Theory.

Capabilities Multiply. They Do Not Add.

FVCC = Purpose × Learning × Redefinition × AI Integration × Ecosystem × Capital Allocation × Trust

Future Value Theory expresses Future Value Creation Capability as the product of seven capabilities.

Purpose alone is not enough. AI alone is not enough. Capital alone is not enough.

If any one of the seven is severely lacking, the whole falls sharply, however strong the others may be.

This assessment therefore calculates its scores by multiplication, not by averaging.

As a result, the weakest capability shapes the overall score more than any single outstanding strength.

The Seven Capabilities

 

Purpose Design

Purpose Design concerns what future the enterprise seeks to bring about.

This capability assesses whether that future is clearly defined, whether it carries meaning for society and customers, and whether it is tied to everyday decisions and conduct, including capital allocation, hiring, and the use of AI.

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Learning

Learning concerns whether the enterprise keeps learning from markets, customers, technology, AI, and its own failures.

In the age of AI, knowledge itself no longer differentiates. This capability assesses whether the enterprise catches change early, experiments on a small scale, and quickly accumulates what it learns across the whole organization.

 

Redefinition

Redefinition concerns whether the enterprise has the capability to change itself.

This capability assesses whether the enterprise questions its underlying assumptions instead of improving within them, whether it actually reconfigures its business, organization, business model, and capital structure, and whether it continues to do so beyond a single project.

 

AI Integration

AI Integration concerns not the capability to adopt AI, but the capability to integrate AI naturally into the activities of the enterprise.

This capability assesses whether AI is built into work and decision-making across the whole enterprise, not confined to one department as a tool, and whether humans set the purpose and direction and design AI, people, capital, and the organization as one system.

 

Ecosystem

No enterprise creates Future Value alone.

This capability assesses whether the enterprise is connected with a diverse set of actors, including customers, universities, startups, government, financial institutions, and local communities, whether these relationships complement each side's strengths, and whether the enterprise can actually move these actors under a shared purpose.

 

Capital Allocation

Capital Allocation concerns which future the enterprise's capital (people, money, and time) is being allocated to.

This capability assesses whether capital is allocated not only to protect current earnings, but to people, AI, research, and societal challenges, whether it can be reallocated quickly when needed, and whether the effects of investment are verified so that decisions to continue or withdraw can be made.

 

Trust Creation

In the end, what remains is trust.

This capability assesses whether the enterprise has built up honest and consistent conduct over a long period toward customers, employees, investors, local communities, and partners, whether it reliably delivers what it has promised, and whether its decisions and disclosures remain transparent.

 

Seven Capabilities. Twenty-One Items.

Each of the seven capabilities is divided into three items.

For each item, select the level that most closely reflects the current reality of your enterprise—not its ideal state.

• 0 Not doing it

• 1 Need is recognized, but still largely at the idea stage

• 2 Done in some parts of the enterprise

• 3 Done continuously, as an established practice

• 4 Results are checked and the practice keeps improving

Where you have no basis for judging an item, select "Unknown" rather than 0.

Unknown items are excluded from the calculation and shown in the results as items whose actual state should be established first.

This assessment does not evaluate enterprise size, revenue, profit, brand recognition, or the volume of AI adoption.

It examines the enterprise's capability to design its Purpose, keep learning, redefine itself, integrate AI, build an ecosystem, allocate capital to the future, and accumulate trust.

The assessment is not intended to determine whether an enterprise is right or wrong.

Its purpose is to help enterprises understand where they are today and identify which capability they should strengthen next.

 

Understanding Your Results

The results indicate the enterprise's overall FVCC and its current condition across the seven capabilities.

They also show the difference from a simple average, presented as what unevenness costs, and rank the items where moving up one level would lift the whole the most.

The objective is not simply to achieve the highest possible score.

Enterprises operate in different industries, business environments, and stages of development. Not every enterprise needs to pursue the same state.

The results should help you consider:

• Which capabilities are carrying the whole

• Which capability is setting the ceiling on the whole

• How large the difference is between the result by addition and the result by multiplication

• Whether any items remain at zero, or unknown

• Which item should be raised by one level next

Adopting AI across the enterprise will not transform it if its Purpose remains unchanged.

However abundant its capital, society will not choose an enterprise it does not trust.

Future Value creation depends not on excellence in one isolated capability, but on all seven being present and reinforcing one another.

Raising a weak capability by one level lifts the whole more than pushing further a capability that is already strong.

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What the Assessment Revealed: Three Company Perspectives

 

Behind each score are questions about the company’s future.

You want to make your company better. You want to turn its existing strengths into future growth.

Yet in day-to-day work, it can be difficult to see where to begin. People are eager to try something new, but progress is slow. Budgets are secured, but learning does not inform what happens next. Relationships built over many years remain a source of strength, yet there is uncertainty about how to sustain them.

The Future Value Creation Capability (FVCC) Assessment offers seven perspectives for reflecting on these situations.

The following anonymized examples draw on self-assessments and reflections shared by respondents. As you read, consider what feels familiar in your own company—and what questions the scores might help you ask.

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Case 1 | Manufacturing Company: People Want to Try More. Can the Company Help Them?

A self-assessment of a company engaged in development and manufacturing

People working in development could already see ways to use AI.

They wanted to investigate technical problems, explore possibilities they might otherwise overlook, and generate options for the next experiment—then use human judgment to decide which to pursue. Their ideas were concrete because they understood the work.

However, internal restrictions, including security requirements, limited AI use. The tools available within the company were also perceived as falling short of what people needed.

They could imagine where AI would help. They wanted to use it. Yet they had limited opportunities to try it in their work. That gap appeared in the assessment.

Strengths and challenges reflected in the assessment

AI Integration received a low rating. At the same time, the company’s ability to move quickly in response to change was identified as a strength. During the reflection, the respondent also questioned whether the company’s purpose and direction were reaching people throughout the organization.

The important question is what lies behind the low AI Integration rating.

Do people lack knowledge or motivation? Are the necessary tools and data unavailable? Do they lack permission to experiment, or opportunities to evaluate the results? The same low rating can point to different needs.

A possible next step

One approach would be to select a specific task that people want to test, establish the necessary safeguards, and create a small opportunity to experiment. The findings could then inform the next decision.

When management and frontline teams share a clear understanding of what AI should improve, introducing tools can become part of a purposeful effort to create value.

In your company, can employees test their ideas for making things better on a small scale?

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Case 2 | Financial Sector: The Budget Was Approved. What Changed Afterward?

A self-assessment focused on the headquarters functions of a financial institution

To launch a new initiative, teams prepare explanations, coordinate with other departments, and work to secure funding. By the time the project begins, planning for the following year’s budget is approaching.

One respondent described a working environment shaped by this cycle.

The existing business was generating earnings. Yet it was difficult to run small experiments, add funding in response to findings, or change direction. Compared with the effort devoted to obtaining a budget, there appeared to be less room to reflect on what the initiative actually achieved.

What lay behind an overall score of zero

The respondent reported an overall FVCC score of zero. Some items relating to resource allocation and the practical ability to test hypotheses were rated zero, which was reflected in the assessment’s multiplicative calculation.

This does not mean that the company’s current earnings or enterprise value were zero. It means that the respondent considered some of the practices assessed to be absent, and those responses produced a zero under the scoring formula.

Exploring the reasons revealed a connection between Learning and Capital Allocation.

Even when a small experiment suggested a new opportunity, obtaining flexible follow-on funding was difficult. If reporting an unsuccessful outcome was perceived as damaging to one’s evaluation, information needed for learning could also become harder to share. Those experiences would then be less likely to inform the next investment decision.

A possible next step

The question is how to connect budget approval, learning during execution, and decisions about further investment or withdrawal.

One approach would be to give selected initiatives an experimental budget and clear decision-making authority, with an agreed understanding of what they should test. Findings would then guide decisions to continue, expand, change, or stop.

Revisiting budgeting and performance evaluation could potentially improve both Capital Allocation and the organization’s ability to learn.

In your company, do discoveries made after a budget is spent inform the next management decision?

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Case 3 | Family Company: Turning Inherited Trust into a Reason to Keep Choosing the Company

A self-assessment of a family-owned business rooted in its local community

The company had longstanding customers and close ties to its community. Trust built by the previous generation over many years was an important strength.

For the next generation, it was something worth preserving. But looking ahead also raised concerns.

Customers’ lives and expectations were changing. More convenient services and new ways of doing business were becoming available. Were the company’s services and digital capabilities keeping pace?

Would continuing to operate as before be enough to remain a company that customers chose? These concerns emerged in the reflection following the assessment.

Strengths and challenges reflected in the assessment

Relationships with customers and the local community were identified as a relative strength in Trust Creation. Purpose Design, however, emerged as an area of concern. A stated purpose existed, but its connection to the current business and everyday decisions was perceived as weak.

AI adoption and digital capabilities were also mentioned as areas requiring attention. The respondent, who was not yet involved in managing the business, explained that there was insufficient information to assess Ecosystem development.

The reflection revealed a concern that the company might be relying on trust built by the previous generation without doing enough to renew it.

Even longstanding relationships can gradually change if a company no longer meets customers’ expectations. Carrying trust forward requires actions that continue to serve customers today.

A possible next step

A starting point would be to understand why customers currently choose the company and where they experience inconvenience. The business could then clarify the promises it wants to uphold and reconsider its services and customer interactions.

Digital tools and AI would have a clearer purpose when positioned as ways to fulfill those promises.

What value will the next generation provide, building on the trust it has inherited? The assessment became a starting point for that conversation.

What actions will help your company nurture the trust it has inherited?

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Discussing the Reasons Behind the Scores Can Reveal a Next Step.

A low rating may reveal people who are eager to do more. Several challenges may lead back to the same management practice. Reflecting on a strength may uncover what is needed to carry it into the future.

Why did we give this score?
What experiences informed our assessment?
Where could we begin to make a change?

Executives, business leaders, and frontline employees may produce different results when assessing the same company. Discussing those differences can also deepen understanding.

Use the FVCC Assessment to begin a practical conversation about your company’s future.

Take the Future Value Creation Capability Assessment

These anonymized examples are based on self-assessments and reflections shared by respondents. Numerical scores are included only where confirmed in the shared record. Assessments reflect each respondent’s knowledge and perspective and do not constitute an objective determination of a company’s condition. Suggested next steps are options for consideration, not evidence of management services delivered by VURA or improvements already achieved.

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Leadership Assessment for Executives

Leadership = Purpose × Question Design × Capital Allocation × System Architecture × Trust

AI can produce answers. It cannot create questions.

AI can search for the optimal solution. It cannot decide what should be optimized.

In the age of AI, the executive is no longer the person who gives answers, but the person who designs questions: the person who designs the whole, comprising the enterprise as a system, AI as intelligence, people as creativity, capital as resources, and society as an ecosystem.

This assessment allows executives to examine their own practice, or that of their executive team, through 15 items across five factors.

It also sets the executives' results beside the enterprise's results, showing whether what the executives design is reaching the organization as capability.

 

Theoretical Foundation

Future Value Theory is a management theory of the co-evolution of enterprise, capital, management, and society in the age of AI, proposed and developed by Naoki Kadowaki, Founder, President and CEO of VURA Capital Innovation Holdings Inc.

It is presented in book form and in the VURA Working Paper Series.

Future Value Theory
A Management Framework for Enterprise, Capital, and Society in the Age of AI

The theory places the purpose of the enterprise not only in maximizing profit or enterprise value, but in continuously generating Future Value: the capability to create value that does not yet exist.

It introduces the Future Value Chain, Future Value Creation Capability, Future Capital, and Human-on-the-Loop Management, among other concepts.

The seven capabilities in this assessment are based on the Future Value Creation Capability formula. The five factors of Leadership are based on the theory's Leadership Formula.

Future Value Theory is connected to Enterprise Redefinition.

Future Value Theory explains why future-oriented management and Future Value creation matter.

Enterprise Redefinition explains what an enterprise must redesign.

This assessment examines how much of the capability to create Future Value an enterprise has. The Enterprise Redefinition Assessment examines how far the enterprise has redefined itself across its five dimensions.

To look more closely at Redefinition, one of the seven capabilities, take the Enterprise Redefinition Assessment (ten questions, approximately three minutes).

Future Value Theory does not reject existing management theory. It builds on the work of Drucker, Porter, Freeman, and Christensen, and seeks to reintegrate it from the standpoint of value creation in the age of AI.

The theoretical framework, research propositions, limitations, and future research agenda are available through the VURA Working Paper Series.

Questions to Consider After the Assessment

After reviewing the results, we recommend discussing the following questions with your management team:

• What future do we exist to bring about?

• Does that future carry meaning for society and for our customers?

• Are we learning from change fast enough?

• Are we only improving, while avoiding the question of our underlying assumptions?

• Is AI still confined to one department as a tool?

• Who is designing the respective roles of humans and AI?

• With whom will we create the value we cannot create alone?

• Are people, money, and time being allocated to create the future, rather than merely preserve the past?

• Is trust accumulating among our customers, employees, investors, local communities, and partners?

• Which is our weakest capability, and what is the first thing we will do to raise it by one level?

The assessment results are not the answer.

They are a starting point for an enterprise to re-examine its own capability to create Future Value and begin a meaningful dialogue about its future.

Important Notice

This assessment is an initial self-diagnostic instrument based on Future Value Theory.

The seven capabilities are based on the theory's Future Value Creation Capability formula. The three items under each capability were set up for this assessment from the theory's text, and include some items added from a practical standpoint.

It organizes the enterprise's current position based on the respondent's perceptions. It does not determine or guarantee enterprise value, financial condition, legal compliance, investment suitability, or management performance.

Your answers are saved only in the browser on your own device. They are not sent to VURA or to any other party.

For a more accurate understanding of the enterprise, multiple directors, executives, and business leaders should complete the assessment independently and compare their responses.

Attention should be given not only to the resulting scores, but also to capabilities and items on which participants disagree.

Differences in perception may reveal important management issues that the enterprise needs to address next.

Create the Future, Together.

VURA Capital Innovation Holdings advances Future Value creation in the age of AI through investment, management participation, research, and the practical implementation of Enterprise Redefinition.

If you would like to explore your enterprise's Purpose, Learning, Redefinition, AI Integration, Ecosystem, Capital Allocation, and Trust in greater depth based on the assessment results, please contact us.

We value conversations that begin not only with the problems an enterprise needs to solve, but with a more fundamental question:

"What Future Value will this enterprise become an enterprise that creates?"

Discuss Future Value Creation with VURA