How Companies Are Reshaping Growth Decisions in the Age of AI and Rapid Transformation

A Report by Value Innovation Consulting

At Value Innovation Consulting, we do not view consulting as a report to be written, but as a decision to be built. Today’s markets no longer reward the abundance of data, the size of plans, or even the speed of adopting new technologies. What markets truly reward is an organization’s ability to turn knowledge into decisions, decisions into business models, and business models into measurable value.

Recent global reports confirm that companies are entering a different phase of competition. In this phase, it is no longer enough to adopt artificial intelligence, launch innovation initiatives, or develop broad growth plans. According to McKinsey, organizations are facing pressure from three major forces: technology and artificial intelligence, economic and geopolitical disruptions, and changing expectations from both employees and customers. These forces are not only changing tools; they are reshaping the way organizations work, lead, and create value.

Executive Summary

The most important message emerging from recent reports by global consulting firms is that 2026 is not the year of “technology adoption,” but the year of proving the return on technology. CEOs and business leaders are becoming less willing to fund initiatives that are not linked to a clear return, and more focused on initiatives that redesign operations, support decision-making, and create real growth.

PwC reports that global CEO confidence in revenue growth in 2026 has dropped to only 30%, while many companies continue to struggle with turning AI investments into tangible returns. Meanwhile, EY confirms that artificial intelligence is moving from the stage of “adoption” to the stage of “measurable return,” and that programs which fail to demonstrate a clear financial impact will face difficulty securing internal investment.

In the Saudi market, the picture is more ambitious, but also more demanding. PwC indicates that 94% of CEOs in Saudi Arabia express strong confidence in local growth, and that 71% expect revenue growth over the next three years, with innovation, artificial intelligence, and acquisitions becoming increasingly important tools for growth.

Therefore, at Value Innovation Consulting, we believe the real question facing Saudi companies today is not:

Should we grow?

But rather:

How can we grow without accumulating costly decisions or chasing opportunities that do not create value?

First: The Shift from “Initiatives” to “Return”

Many companies today have numerous initiatives, but few have a clear logic that connects each initiative to return. This is confirmed by BCG in its report on the widening value gap in artificial intelligence. The report found that only 5% of companies globally are “built for the future” and are achieving significant value from AI, while 60% are generating only limited value despite major investment.

This gap does not mean that technology has failed. Rather, it means that the way many organizations deal with technology is still immature. Organizations that achieve real impact do not start with the question: “Which tool should we use?” They start with the question: “Which decision, process, or revenue model do we want to improve?”

At Value Innovation Consulting, we believe this point applies to all investment decisions, not only artificial intelligence. Feasibility studies, expansion plans, operating models, marketing strategies, and digital transformation all fail when treated as separate documents. They succeed when they are built as one integrated decision-making system.

Second: Artificial Intelligence Is No Longer a Technology Project

Deloitte’s Tech Trends 2026 report confirms that the question has shifted from “What can we do with artificial intelligence?” to “How do we move from experimentation to impact?” It also highlights that successful organizations do not simply automate existing processes; they redesign those processes to fit the age of intelligent agents and hybrid work between humans and machines.

McKinsey also confirms that artificial intelligence has become an investment priority ahead of cybersecurity and infrastructure modernization for many companies, and that half of companies now place AI among their top investment priorities over the next two years.

However, Value Innovation Consulting believes that the greatest risk is not failing to adopt artificial intelligence, but adopting it without a clear strategic question. AI can accelerate the right decision, but it can also accelerate the wrong one if data, governance, the business model, and measurement mechanisms are not clear.

Therefore, the digital transformation journey should not begin with the tool, but with value:

What decision do we want to improve?

Which process is consuming time or money?

Which risks are we failing to see early?

Which opportunity is not visible in surface-level numbers?

And what return can be measured within a specific period?

Third: People Are the Center of Transformation, Not Its Margin

BCG confirms that 70% of the value of artificial intelligence comes from rethinking the human element, not from algorithms or technology alone. It also indicates that companies most advanced in AI invest in training more than 50% of their employees, compared to only 20% among companies that are lagging behind.

Accenture supports this direction in its Pulse of Change 2026 report, which shows that the biggest barrier to AI value is no longer technology, but employee alignment, building trust, clarifying vision, and linking training to a real change in how work is done.

From Value Innovation Consulting’s perspective, this lesson does not apply to AI alone. Every strategy fails if it remains only at the executive level. Every feasibility study loses value if it is not translated into a language that execution teams can understand. Every growth plan becomes a burden if it is not supported by skills, authority, and follow-up mechanisms.

Value is not created in presentation slides.

Value is created when organizational behavior changes.

Fourth: Trust and Governance Have Become Conditions for Growth

As companies increasingly rely on artificial intelligence and data, governance is no longer merely a matter of compliance. It has become a competitive advantage. McKinsey’s AI Trust 2026 report indicates that trust in artificial intelligence has become essential for creating value and managing risk, especially as AI systems move from simply providing recommendations to independently executing actions.

KPMG’s Global AI in Finance 2026 report also confirms that organizations with AI audit trails and governance frameworks achieve significantly higher rates of error reduction and greater confidence in scaling AI. Trust, measurement, and governance are what distinguish organizations that capture value from those that do not.

This aligns with what we believe at Value Innovation Consulting:

A good decision is not only a bold decision. It is a decision that can be defended through numbers, scenarios, risk logic, and clear assumptions.

In today’s business environment, it is no longer enough to say: “This is a promising opportunity.”

We must answer:

What assumptions is this opportunity based on?

When does it become unfeasible?

What is the break-even point?

What risks appear before losses occur?

And what early indicators tell us that the decision needs to be adjusted?

Fifth: The Customer Has Changed — and So Has the Way They Discover Brands

Bain indicates that customers are beginning to rely on artificial intelligence to discover products and services, and that a brand that does not appear in the shortlist recommended by AI tools may lose the customer before the sales journey even begins. Bain also confirms that this transformation is not limited to consumer markets, but extends to B2B markets as well.

This shift has a direct impact on companies in Saudi Arabia and the wider region. Competition is no longer only about advertising or appearing in search results. It is also about building a digital reputation, credible content, and a customer experience that makes the company “recommended” in the eyes of both the market and intelligent systems.

Therefore, Value Innovation Consulting believes that modern marketing strategy must move from the question:

“How do we reach the customer?”

To the question:

“How do we become the trusted choice before the customer even contacts us?”

Sixth: The Saudi Market Is Facing a Qualitative Growth Opportunity

PwC’s findings on Saudi Arabia show that companies in the Kingdom are operating in an environment that combines confidence in growth, capital availability, expansion of non-oil sectors, and the increasing importance of innovation. Around 65% of CEOs in Saudi Arabia see innovation as a critical element of strategy, while 42% show readiness to take higher risks in innovation projects.

However, major opportunities do not mean easy decisions. A market that grows quickly creates many opportunities, but it also creates a high level of noise. In this context, the role of consulting is not only to prepare studies, but to filter opportunities, identify what is truly worth investing in, and determine what should be stopped before it becomes a sunk cost.

This is where the philosophy of Value Innovation Consulting comes in:

To help clients see beyond initial indicators, understand market logic, turn enthusiasm into calculated decisions, and transform decisions into executable plans.

Seventh: From Feasibility Study to Decision System

Value Innovation Consulting was established in Saudi Arabia in 2016. It defines itself as a Saudi consulting firm specialized in innovative solutions and integrated consulting services, including management, strategy, finance, development, marketing, and technology. Its identity is built around the concept of “value innovation” as a cornerstone for creating real and innovative value for clients.

Based on this, a professional report or consulting study at Value Innovation Consulting should not be merely an analysis of the market or numbers. It should be an integrated decision-making system composed of six layers:

1. Diagnosing the Logic of the Decision

What is the decision required? What are the alternatives? And what is the cost of making the wrong decision?

2. Understanding the Market Deeply

Who is the real customer? What is their unspoken need? What gaps exist among competitors? And what is the size of demand that can actually be converted into revenue?

3. Designing the Value Model

What value will we create? Why will the customer pay for it? And what makes the offering different rather than merely similar to the market?

4. Building the Financial Model

What are the expected revenues? What are the costs? What is the break-even point? What are the optimistic and conservative scenarios? And how sensitive is the project to price, demand, and cost?

5. Testing Risks and Readiness

What are the operational, regulatory, financial, and marketing risks? And what is the actual ability to execute?

6. Creating the Implementation Roadmap

What are the first steps? Who is responsible? What are the indicators? And when should the decision be reviewed or the direction adjusted?

Strategic Conclusion

The world does not suffer from a lack of ideas.

Nor from a lack of data.

Nor from a lack of tools.

What many leaders suffer from is the missing link between the idea and the decision, between the decision and execution, and between execution and value.

Therefore, the role of Value Innovation Consulting in the coming phase should revolve around a clear promise:

We do not only help you understand the market; we help you make the right decision within it.

We do not write studies that are read and then archived; we build decision models that are used, measured, and improved.

We do not seek growth at any cost; we seek the value that deserves to grow.

In an era where artificial intelligence is accelerating, business models are changing, and the cost of wrong decisions is increasing, true consulting is the kind that gives the client clarity before investment, discipline during execution, and early indicators before losses appear.

This is the essence of Value Innovation:

To transform complexity into clarity, clarity into decisions, and decisions into sustainable value.