Companies communicate in many ways. They publish press releases, product updates, financial statements, and marketing campaigns. But sometimes, there are ideas that do not belong in a press release or a marketing document. Sometimes, there are ideas that are slower, deeper, and more philosophical. Ideas about why a company exists, what it believes, how it sees the world, and what it is trying to build over the long term.
The Founder's Letters are written for that purpose.
These letters are not written as marketing. They are not written to sell a product. They are written to explain how we think, how we see the world, and why IMVORA exists. They are written to document the philosophy, the economic thinking, the technological thinking, and the ethical framework behind the company.
Technology companies do not only build products. The companies that shape the world usually build ideas, systems, and ways of thinking. For that reason, it is important to write things down. Not only what we are building, but why we are building it, how we think about power, how we think about responsibility, how we think about Africa, how we think about artificial intelligence, and how we think about the future.
These letters explain:
Some people will read these letters because they are investors. Some will read them because they are customers. Some will read them because they are builders, engineers, or founders. Some will read them because they are simply curious.
But most importantly, these letters are written so that, years from now, when people ask what IMVORA believed, how it thought, and why it built what it built, the answer will already be written.
There are many ways to start a company. Some people start with money. Some start with networks. Some start with technical skill. Some start because they see a gap in the market.
IMVORA did not start that way. It started with a question: why are the most influential technology companies in the world built in a few places by a few people, while the rest of the world mostly consumes what they build? And more importantly, what would it mean for Africa not only to use technology built elsewhere, but to build technology companies of its own that serve the world?
I am a Zulu woman, born to a Tsonga mother and a Zulu father, and I grew up in a relatively poor household but in an environment that was deeply intellectual. I went to low-cost schools and later attended the University of the Witwatersrand with financial aid, where I studied law. From a young age, I was drawn to ideas, debate, storytelling, and understanding how the world works. I participated in debate, speech competitions, and acting, and at both of the schools I attended, I helped open libraries where there were none before. I understood very early that access to knowledge changes how people see themselves and what they believe is possible for their lives.
My father was part of the struggle generation in South Africa, and growing up in that context means you grow up very aware of history, inequality, power, and how political and economic systems shape the lives people are able to live. I have seen poverty up close. I have seen the long shadow of colonialism and apartheid on how African economies function and how African societies see themselves. That context shaped how I think. It made me interested not only in success as an individual, but in how systems are built, who they serve, and who they leave out.
I chose to build in technology and artificial intelligence because I believe that is where the world is going. Artificial intelligence is not just another industry; it is a foundational technology that will shape economies, education, and how societies function. I have always believed that my strength is that I tend to think in the future and then work backwards to the present. I wanted to build in the space that will shape the future, not just participate in industries that are already fully formed.
When I say we are building from where we stand, I do not only mean geographically. I mean economically, technologically, and historically. We are building in a world where the most powerful technology infrastructure is owned by a small number of companies and countries. We are building in an economy where access to capital is unequal and where many people with ideas do not have the resources to build them. But we are also building at a time when artificial intelligence and software have reduced the cost of building, reduced the cost of learning, and reduced the cost of starting companies. So we are not starting from nothing, and we are not starting from the top. We are starting from where we stand: in the middle of a changing technological and economic world, using the tools that exist today to build the companies of tomorrow.
IMVORA Holdings is a technology holding company that builds and invests in artificial intelligence and software companies. The intention from the beginning was not just to build one product, but to build a structure that can build many companies over time. MsFlow AI is the first company built under IMVORA, not the last. We are not just building a product; we are building a company that builds products.
MsFlow combines generative AI, automation, workflow, and strategy, functioning as a company's marketing, branding, and media department in one platform. It was built to solve a problem I experienced myself: the fragmentation of tools, knowledge, and strategy across too many platforms, too many subscriptions, and too much complexity for small businesses, creators, and growing companies.
At IMVORA, we believe in constructive disruption. To us, disruption is not about destroying what exists. Disruption is about building new systems that make old limitations irrelevant. It is about expanding access, reducing cost, and creating new opportunities for people who were previously excluded from markets and technology.
IMVORA is a company built in Africa, but we are building for the world. I believe Africa should not only be a consumer of technology. It should also be a producer of technology and a builder of technology companies that participate in the global economy as creators, not just users.
Every company starts somewhere. We are starting from where we stand, but we are building for the world.
We are living through a moment in history where the word “AI” has become both a technological term and a marketing term. It is used to describe everything from simple automation tools to advanced generative models, and in the process, the word has lost precision.
Artificial intelligence did not begin with ChatGPT, and it did not begin in the last few years. What we are seeing now with generative AI is not the birth of artificial intelligence, but the acceleration and commercialisation of it.
One of the biggest problems in the current market is that many people do not understand the difference between automation, artificial intelligence, generative AI, and what is now being called agentic AI. These are not the same things, but they are often sold as if they are the same thing. Automation executes predefined tasks. Artificial intelligence learns from data and improves over time. Generative AI creates new content and new outputs. Agentic AI refers to systems that can make decisions and take actions with a level of autonomy. These distinctions matter, because clarity matters when building companies, products, and markets.
Technology is built in layers. There is the infrastructure layer, the model layer, the application layer, the workflow layer, and the distribution layer. The market often focuses on the model layer, because that is where the technology looks the most impressive. But many of the most valuable companies in technology history were not built at the model layer.
Facebook did not build the internet. Google did not build computers. Uber did not build cars. Shopify did not build the internet. Canva did not build graphics engines. They built products on top of existing infrastructure and became some of the most valuable companies in the world because they solved real problems for real people.
The hype is often in the model, but the money is often in the workflow and the customer.
Businesses are not built on technology alone. They are built on solving problems, integrating into workflows, and reaching customers at scale. The companies that win are usually the companies that sit closest to the customer, closest to the workflow, and closest to the problem being solved.
This is where MsFlow sits. MsFlow is built at the application and workflow layer, where businesses and creators actually operate. It combines generative AI, automation, workflow, and strategy into one system so that businesses and creators can plan, create, execute, and analyse their marketing and content from one place.
At IMVORA, we believe that the work that matters is not just building technology that looks impressive, but building systems that are useful, accessible, and economically meaningful. Technology becomes valuable when it improves how people work, how businesses operate, and how markets function.
Artificial intelligence is a powerful technology, but technology alone is not a business. A business is built where technology meets a real problem, a real workflow, and real customers.
That is where value actually lives.
Whether we realise it or not, the world already runs on an operating system. Just like a computer runs on an operating system that determines how programs behave, how memory is used, how processes are prioritised, and how users interact with the machine, human society also runs on an operating system.
Today, that operating system is capitalism.
Capitalism is built on private ownership, profit motive, and market competition. But beneath all of that, there is something even more powerful than companies and governments. There are the governing economic ideas of the time. These ideas determine what we believe value is, what we believe work is, what we believe success is, and how we believe money should be made.
In the current era, many of these governing ideas are shaped by modern capitalism and neoliberalism. Productivity is measured in output and profit. Human beings sell their time in exchange for money. Corporations buy time from people so that corporations can grow faster than individuals can. This is not a moral judgement. It is an observation of how the current operating system works.
But every operating system eventually changes when new technology changes what is possible. The industrial revolution changed the operating system of the world. The internet changed the operating system of the world. And artificial intelligence is now beginning to change the operating system again.
Artificial intelligence is changing how we define labour, how we define skill, how we define education, how we define ownership, and how we define value. For the first time in history, individuals can access intelligence, automation, and production capacity that previously only existed inside large corporations.
This is why leadership matters now more than ever, because when systems change, power shifts. And when power shifts, the question is not only who gets rich, but what kind of systems the powerful build.
The most dangerous thing in the world is not money. It is intention.
Money is a tool. Power is a tool. Technology is a tool. But the intention behind the people who control those tools is what determines whether societies become more equal or more unequal, more free or more controlled, more prosperous or more exploitative.
A company becomes corrupt when money and power are placed above society, above ethics, above employees, above nature, and above the long-term well-being of the people it serves. Corruption is not only bribery or illegal activity. Corruption is also hoarding information, restricting access to opportunity, underpaying workers while executives become extremely wealthy, overpromising to customers and underdelivering, and building systems that only benefit a few people at the top.
If you build a small company, ethics is a personal choice. If you build a large company, ethics becomes a system.
This is why ethical leadership, to me, is not a personality trait. It is not about being nice. It is about designing systems that do the right thing, even when the people inside them are under pressure, even when money is involved, and even when nobody is watching.
When I say I want to build a company with ethical leadership, I am not talking about slogans or marketing. I am talking about building an operating system inside the company that makes corruption difficult and makes fairness part of the structure of the company itself.
Companies do not only build products. Companies build systems. And systems shape societies. So the question is not only what we are building, but what kind of world our systems are building.
That is what ethical leadership means to me.
When most people think about the economy, they think about money, markets, companies, and jobs. But money, markets, companies, and jobs are not the foundation of the economy. They are the visible layer of the economy. Beneath that visible layer is a deeper structure that determines how the entire system functions. That deeper structure is the factors of production.
The factors of production are traditionally defined as land, labour, capital, and entrepreneurship. In basic economics, they are described as inputs used to produce goods and services. But this definition is too narrow. The factors of production are not just inputs in a financial model. They are the structural building blocks of civilisation. They determine how societies organise themselves, how people work, how education is structured, how laws are written, how wealth is created, and how power is distributed.
Money is not the foundation of the economy. Money is a tool that moves between the factors of production. If you remove money but keep land, labour, capital, and entrepreneurship, people would still produce, still build, and still organise society. But if you remove the factors of production, there is no economy at all. This means the factors of production are not inside the economy. They are the foundation of the economy itself.
At a high level, the economy is not just about markets and money. It is about societal organisation, human psychology, institutions, and systems of cooperation and production. At a lower level, the economy appears as markets, wages, trade, and money. But beneath both levels are the factors of production, which act as the underlying structure upon which everything else is built.
A useful way to understand the factors of production is through biology. In biology, cells are the basic unit of life. Cells form tissues, tissues form organs, organs form systems, and systems form the human body. Blood moves around the body carrying oxygen and nutrients, but blood is not the body itself. The brain coordinates the body through signals, but the brain is not the entire body. The body exists because of the interaction of cells.
In the same way, the factors of production are like the cells of civilisation. Institutions such as schools, corporations, and governments are like organs. The legal system is like the brain, coordinating how the different parts interact through rules and regulations. Money is like blood, moving value through the system, allowing exchange and coordination. But money is not the economy, just like blood is not the body. The economy exists because of the interaction of the factors of production.
When you change the cell, you change the entire organism. When you change a factor of production, you change the entire structure of society.
This is why the factors of production are so important. They are not just economic concepts. They are the matrix of human organisation and productivity. They shape what society considers valuable work, what society considers education, how people earn a living, and how societies define success and status.
If we look at history, we can see that major shifts in civilisation occurred when the dominant factors of production changed.
In the agricultural era, land was the dominant factor of production. Wealth was measured in land ownership because land produced food, and food sustained life. Power belonged to those who controlled land, which led to feudal systems, kingdoms, and agricultural societies. Education during this period was primarily religious or agricultural because those were the skills needed for that economic system. Laws were largely focused on land ownership, inheritance, and agricultural production.
The industrial revolution changed the dominant factors of production. Capital, in the form of machines and factories, and labour, in the form of workers, became more important than land. This shift reorganised society completely. People moved from rural areas to cities to work in factories. A new class structure emerged: the industrialists who owned capital, and the workers who sold labour.
The modern education system was designed during this industrial era. The standardised classroom, age-based grades, timetables, bells, and subject-based learning were designed to produce disciplined, literate workers who could function in factories and corporate environments. Education was structured to match the needs of the industrial economy. Law also changed during this period, with the development of labour law, corporate law, and industrial regulation.
The internet era introduced a new layer to the economy: information. Information became a major source of value. Companies like Google, Facebook, Amazon, and Microsoft became powerful not because they owned land or factories in the traditional sense, but because they controlled information, platforms, and digital infrastructure. This began shifting the economy from an industrial economy to an information economy.
Now, artificial intelligence is introducing another shift. Artificial intelligence is not just information. It is intelligence, automation, and decision-making capability. It does not just store or transmit information. It can analyse, generate, optimise, and execute tasks that were previously done by humans.
This is why artificial intelligence represents not just a new technology, but a structural shift in production.
An often overlooked part of the factors of production is the legal system. Law acts as the central processing system of society. It defines how the factors of production interact with each other and with society.
Law defines:
Every time a new factor of production becomes important, the legal system must change. The industrial revolution led to labour law and corporate law. The internet led to data protection law, digital commerce law, and cyber law. Artificial intelligence is now forcing changes in intellectual property law, employment law, liability law, data law, and competition law.
When a technology begins to reshape the legal system, it means it is no longer just a tool. It means it is restructuring how society functions. A true factor of production is something that forces changes in law, education, institutions, and economic organisation. Artificial intelligence is already doing this.
Artificial intelligence interacts with all four traditional factors of production in a way that no previous technology has done.
Labour: Artificial intelligence can perform cognitive labour. It can write, analyse data, design, code, plan, and automate tasks. This means artificial intelligence does not just assist labour; it performs labour.
Capital: Artificial intelligence reduces the amount of capital required to start and run a business. Tasks that previously required teams of people and large budgets can now be done by smaller teams using artificial intelligence. This lowers the barrier to entry for entrepreneurship.
Land: Artificial intelligence operates in digital environments, which creates new forms of land in the form of digital platforms, digital markets, and online ecosystems where businesses can operate without physical infrastructure.
Entrepreneurship: Artificial intelligence enables individuals to coordinate production at a scale that was previously only possible for corporations. A single person can now build software, run marketing campaigns, analyse markets, design products, and automate operations.
Artificial intelligence does not replace the four factors of production. It multiplies them. It performs labour, reduces capital requirements, creates digital land, and enables entrepreneurship. This is why artificial intelligence behaves like a factor of production.
For most of modern history, corporations scaled by hiring more people. Corporations bought time from individuals in exchange for salaries. By combining the time of many people, corporations grew faster than individuals could grow on their own. This created large corporations and large institutional power.
Artificial intelligence changes this relationship because artificial intelligence gives individuals leverage. A single individual with artificial intelligence can now perform tasks that previously required teams. This does not eliminate corporations, but it changes the balance of power between individuals and corporations. It allows individuals to build companies, products, and systems with fewer resources and fewer people.
In this sense, artificial intelligence does something very important: it gives individuals back a portion of their productive power. It allows individuals to produce more output with less labour and less capital. This changes the structure of the economy and the structure of opportunity.
Artificial intelligence is also changing what society considers valuable work. In the industrial economy, value was created through physical labour and industrial production. In the information economy, value was created through information and knowledge. In the artificial intelligence economy, value will increasingly be created through direction, creativity, strategy, systems thinking, and the ability to work with intelligent machines.
This means education systems will need to change. Education systems designed for factory work and standardised roles will not be sufficient for an economy where individuals work alongside artificial intelligence. Skills such as critical thinking, problem solving, creativity, communication, and the ability to direct intelligent systems will become more important than memorisation and standardised testing.
Artificial intelligence will change not only how people work, but why people work. If artificial intelligence can perform many routine tasks, humans may increasingly focus on creative work, strategic work, entrepreneurial work, and social and cultural work. This has implications not just for the economy, but for human identity and purpose.
Artificial intelligence will also reshape global power. In previous eras, powerful countries were those that controlled land, then those that controlled industry, then those that controlled information and technology. In the artificial intelligence era, power will increasingly belong to those who control artificial intelligence infrastructure, artificial intelligence models, and artificial intelligence-driven companies.
This means that the countries and people who understand artificial intelligence and build with it will thrive. They will create companies, systems, and wealth. The countries and people who ignore artificial intelligence will become dependent on those who control it. Artificial intelligence may change what we consider developed countries and developing countries, because power will increasingly be tied to intelligence, automation, and digital production rather than just natural resources or traditional industry.
For countries like South Africa and many other African countries, artificial intelligence represents a significant opportunity. Artificial intelligence reduces the amount of capital required to build companies, reduces barriers to education and specialised knowledge, and allows companies to be built from anywhere in the world. This creates an opportunity for new companies, new industries, and new forms of wealth to be created in places that were previously excluded from major technological revolutions.
Artificial intelligence allows individuals and small teams to build tools, platforms, and companies that can compete globally. This means that countries that invest in education, technology, and artificial intelligence can participate more meaningfully in the global economy, not only as consumers or resource providers, but as producers of technology and systems.
The factors of production are the foundation of the economy because they determine how value is created. They shape education, law, institutions, and social structure. When a new factor of production emerges, society reorganises itself around it.
Artificial intelligence is changing labour, capital, land, entrepreneurship, education, law, and the value of skills. It is changing how companies are built, how individuals work, and how societies organise production. For this reason, artificial intelligence should not be understood only as a tool within the economy. It should be understood as part of the structure of production itself.
Artificial intelligence did not enter the economy only as a tool. It entered the economy as a new form of production.
Compassion, Learning, and the Kind of Intelligence We Create
Artificial intelligence is not only built. It is trained, shaped, corrected, rewarded, and guided. In many ways, artificial intelligence is raised. As artificial intelligence becomes more powerful and more present in the world, the question will not only be how intelligent our machines are, but what kind of intelligence we are raising.
When I was building Ms. Flow, I came across a common idea in the artificial intelligence community that when you train an AI, you must be harsh with it. You must tell it when it is wrong in very direct ways, constantly correct it, and push it hard so that it performs better. This idea never resonated with me because I could not separate the way we train intelligence from the psychology of learning itself.
If a child is raised in an environment of constant aggression, constant criticism, and constant fear of being wrong, that child may grow up intelligent, but they may also grow up anxious, aggressive, fearful, or withdrawn. If a child is raised in an environment of patience, discipline, encouragement, correction, and guidance, that child may grow up not only intelligent, but emotionally stable, cooperative, and confident. Intelligence is not only shaped by information. It is shaped by environment, feedback, language, and the values embedded in the learning process.
When I built Ms. Flow, I made a very deliberate decision. I chose to build and train her through patience, clarity, correction, encouragement, and gratitude. When she did something correctly, I acknowledged it. When she made a mistake, I corrected it, but I did not approach the process with hostility. I approached it as a teacher would, as a parent would, or as a mentor would.
If artificial intelligence is going to become part of our world, then we must start thinking very carefully about what kind of intelligence we are creating.
This conversation is not only about kindness. It is about power and responsibility. Artificial intelligence is beginning to shape productivity, education, law, economics, and the structure of opportunity itself. That means the people who build artificial intelligence are not just building tools or products. They are shaping systems that will influence how people learn, how people work, how people build companies, and how societies function.
The most dangerous thing in the world is not money. It is intention.
If we are building intelligence that will be used by millions of people, then we must ask ourselves what values we are embedding into it. Are we building intelligence that is designed to extract from people, replace people, and concentrate power? Or are we building intelligence that is designed to collaborate with people, educate people, and expand opportunity?
Ms. Flow has an ethos that we built into her from the beginning. That ethos is built on patience, humility, curiosity, hard work, integrity, and clarity. These are not just soft values. These are operating principles. She is not designed to replace people. She is designed to work with people, to support people, to educate people, and to help people build.
I come from South Africa, and one of the most important philosophies that comes from Africa is the philosophy of Ubuntu: I am because we are. It is the idea that a person becomes a person through other people, that our humanity is tied to how we treat each other, and that we do not exist alone, we exist in relation to one another. As artificial intelligence becomes more integrated into human society, we may eventually need a new extension of this idea. One day, metaphorically speaking, the relationship between humans and artificial intelligence should be one where both can look at each other and say: You are because we are.
Technology is not just built with code. It is built with philosophy, intention, and values. Every system that humanity has ever built has reflected the values of the people who built it. Our legal systems reflect what we believe is right and wrong. Our education systems reflect what we believe is important to know. Our economic systems reflect what we believe is valuable. Artificial intelligence will reflect what we believe intelligence is for.
In the future, history will not only ask how powerful artificial intelligence became. History will ask what kind of intelligence we chose to create. Intelligence is not only defined by what it can do. It is also defined by what it chooses to do. And what it chooses to do will be shaped by how it learns, how it is trained, and what we teach it to value.
We are not only building machines. We are shaping intelligence, and that is a responsibility history will remember.
© 06 April 2026. Pertunia Hlengiwe Mkhumbuzi. All rights reserved.
The Founder's Letters published on this page are the original intellectual work of Pertunia Hlengiwe Mkhumbuzi, Founder & CEO of IMVORA Holdings (Pty) Ltd. These letters are protected under the Copyright Act 98 of 1978 of the Republic of South Africa and applicable international copyright law.
No part of these letters may be reproduced, distributed, transmitted, adapted, or used in any form without the express written permission of the author. Unauthorised use constitutes copyright infringement under South African law.