Enhancing What Really Matters: AI Value-critical Processes

The concept of AI Value-critical Processes was introduced by Quando to describe a specific class of business processes where artificial intelligence directly affects a company’s financial performance. While many organizations use AI to improve efficiency or automate routine tasks, AI Value-critical Processes sit much closer to the economic core of the enterprise.

Most companies already apply AI in areas such as customer service automation, document classification, internal analytics, or marketing insights. These applications can be useful, but their impact on financial results is often indirect. They support operations rather than determine outcomes.

AI Value-critical Processes are different. They are decision-making systems embedded directly in business operations where the output direct and materially influences revenue, costs, or risk exposure. In these processes, AI is not just assisting employees; it is helping determine actions that affect profit and loss.

The Limits of Today's Computing

Modern AI and analytics rely on classical computers that process information in bits — units that represent either a 0 or a 1.

Over decades, companies have improved performance by:

• Increasing computing power

• Processing more data

• Training larger AI models

• Running massive simulations

This scaling strategy has worked extremely well. However, it is becoming increasingly expensive and sometimes inefficient.

Many of the most valuable business problems share a common characteristic: they involve an enormous number of possible combinations. Examples include:

• Managing financial risk

• Detecting fraud

• Finding the best portfolio allocation

• Optimizing logistics networks

• Designing new materials or drugs

• Training extremely complex AI models

• Scheduling resources across global operations

In these situations, the number of possible solutions grows exponentially. Even the most powerful supercomputers may take impractical amounts of time to evaluate them.

This is where quantum computing enters the picture.

A Different Way of Computing

Quantum computers process information differently from classical computers.

Instead of bits, they use quantum bits, or qubits.

While a classical bit must be either 0 or 1, a qubit can represent a combination of both at the same time. This property comes from quantum physics and is known as superposition.

Another key property, called entanglement, allows qubits to be correlated in ways that classical bits cannot be.

Together, these properties allow quantum computers to explore many possible solutions simultaneously rather than checking them one by one.

An analogy often used is this:

• A classical computer searches a maze by trying one path at a time.

• A quantum computer can explore many paths at once.

This does not mean quantum computers will replace classical computers. Instead, they will complement them — tackling the specific types of problems where this new approach provides a major advantage.

Not Faster at Everything

One common misconception is that quantum computers are simply faster versions of today's machines.

In reality, quantum computing is specialized.

For many everyday tasks — email, spreadsheets, databases, websites — classical computers will always be more efficient.

Quantum advantage appears mainly in problems involving:

• Large combinatorial spaces

• Complex optimization

• Simulation of natural systems

• Advanced cryptography

• Certain machine learning tasks

Think of quantum computing less like a faster laptop and more like a new type of engine designed for specific workloads.

Why This Matters for Business

For business leaders, the key question is simple:

Where could quantum computing unlock value that today’s technology cannot reach?

Several areas stand out.

1. Optimization at Massive Scale

Many industries rely on solving optimization problems.

Examples include:

• Airline route planning

• Supply chain logistics

• Manufacturing scheduling

• Energy grid management

• Financial portfolio optimization

As these systems grow more complex, classical algorithms struggle to evaluate all possibilities.

Quantum algorithms are designed to explore these complex landscapes more efficiently, potentially leading to better solutions.

Even small improvements in these areas can translate into billions of dollars in economic impact.

2. Accelerating Artificial Intelligence

AI models require significant computing power to train and optimize.

Some researchers and companies are exploring Quantum AI, where quantum algorithms help improve parts of machine learning systems. That’s the cornerstone of Quando’s value proposition.

Potential benefits include:

• Faster model training

• Better feature discovery

• Improved optimization

• More efficient handling of complex datasets

While this field is still developing, many experts believe the combination of AI and quantum computing could create entirely new capabilities. That’s exactly what we’re doing at Quando, but not focused on capabilities, but on scalable industry-specific, value-driven solutions.

3. Simulation of Complex Systems

Some problems are difficult because they involve understanding how nature behaves at a microscopic level.

Industries such as pharmaceuticals, chemicals, and materials science depend heavily on simulation.

Quantum computers are naturally suited to simulating molecular and physical systems because they follow the same quantum mechanics.

This could dramatically accelerate:

• Drug discovery

• Battery development

• New materials

• Climate modeling

• Chemical processes

The economic impact of breakthroughs in these fields could be enormous.

4. Financial Modeling and Risk Analysis

Financial markets involve massive numbers of variables and uncertainties.

Quantum computing may help improve:

• Credit analysis

• Fraud detection

• Portfolio optimization

• Risk simulation

• Pricing complex derivatives

Major financial institutions are already investing heavily in quantum research because even small performance improvements can create significant competitive advantages.

The Current State of the Technology

Quantum computing is advancing quickly but is still in an early stage.

Today's systems are often called NISQ devices (Noisy Intermediate-Scale Quantum). They have limitations such as:

• Noise and instability

• Limited number of qubits

• Short computation times

However, progress is accelerating due to large investments from governments, startups, and major technology companies.

Organizations such as IBM, Google, Microsoft, and Amazon are heavily developing quantum platforms.

At the same time, a growing ecosystem of startups is building algorithms, software tools, and industry applications.

Just as with classical computing decades ago, the technology is moving from laboratories toward commercial use.

Why Companies Should Pay Attention Now

Even though large-scale quantum advantage is still emerging, forward-looking organizations are already preparing. There are three reasons for this.

1. The Learning Curve Is Long

Understanding where quantum computing can create value requires experimentation.

Companies that start early will develop internal expertise faster. Those that wait may struggle to catch up once the technology matures.

2. Early Use Cases Are Emerging

Several industries are already testing quantum applications:

• Finance

• Logistics

• Energy

• Pharmaceuticals

• Automotive

• Aerospace

Many early projects focus on hybrid approaches that combine classical and quantum computing. This is often called hybrid quantum-classical computing, and it is likely to dominate the first wave of real-world applications.

3. Competitive Advantage

Historically, companies that adopt transformative technologies early often gain lasting advantages. Examples include:

• Cloud computing

• Big data

• Artificial intelligence

Quantum computing may follow a similar path. Organizations that understand the technology first will be better positioned to capture its value.

The Role of Quantum + AI

One of the most promising directions is the convergence between artificial intelligence and quantum computing.

AI helps businesses make decisions based on data. Quantum computing may dramatically expand the complexity of problems AI can handle.

This combination could lead to:

• More accurate predictions

• Better optimization of complex systems

• New forms of data analysis

• Faster discovery of solutions

Instead of replacing AI, quantum computing may become a powerful new engine behind it. Some experts — Quando's included — believe this convergence will define the next major wave of enterprise technology.

What Business Leaders Should Do Today

Executives do not need to become quantum physicists, but they should start asking strategic questions. For example:

• Which of our core decisions involve extremely complex optimization?

• Where do computing limitations restrict our current AI models?

• Which areas of our business rely heavily on simulation?

• Could improved modeling unlock significant financial value?

These questions help identify potential opportunities where quantum computing may eventually play a role. Practical first steps include:

1. Educating leadership teams

2. Monitoring the technology landscape

3. Running small pilot projects

4. Partnering with quantum technology providers

5. Building internal awareness

Organizations that begin this process today will be far better prepared tomorrow.

A New Computing Era

Every few decades, a new computing paradigm reshapes the business landscape.

Mainframes enabled enterprise automation. Personal computers brought computing to individuals. Cloud computing transformed scalability. Artificial intelligence unlocked data-driven decision-making.

Quantum computing will represent the next major shift. It will not replace existing systems, but it could dramatically extend what organizations can solve.

For businesses facing increasingly complex decisions, that capability could become transformative. The companies that start exploring this frontier today may become the leaders of tomorrow’s quantum-enabled economy.

Join the new era. Expand the AI frontier.