Asher's Blog

I do not particularly like describing important technology as boring. The work may be repetitive from the outside, and it may not attract the attention given to rockets, consumer AI or the newest social application, but the founders doing it are often deeply passionate. They may spend years trying to answer one difficult question because they understand how much value that answer will create.

Serious businesses need that kind of focus. When a product moves money, protects data, runs payroll or coordinates healthcare, novelty cannot be the primary objective. The technology must work repeatedly under ordinary and difficult conditions. Customers do not want to be impressed every morning; they want to be able to depend on the system without wondering whether today will be the day it fails.

This does not mean that creativity is absent. It means that creativity must be disciplined by responsibility. A company can experiment aggressively in research and development while operating its live service conservatively. It can test new architectures, AI models and customer experiences without turning every customer into an involuntary participant in an unfinished experiment.

I have started thinking about R&D as a capability that should improve every arm of a company. There can be research into finance: how to forecast more accurately, reduce leakage or structure capital better. There can be research into marketing: which message changes behaviour, which distribution model lowers acquisition cost and which audience produces durable customers. There can also be research into operations and technology. These questions may originate in different departments, but the discipline of investigating, testing and transferring what works can sit within a coherent R&D function.

The operating teams still own performance. Finance must close the books, marketing must generate demand and engineering must keep the product reliable. R&D should not become an intellectual theatre where interesting ideas are produced without responsibility for adoption. Its work should begin with important business questions, use measurable experiments and end with a capability that an operating team can own.

This separation is useful because daily work naturally consumes attention. A team responsible for meeting this month’s target will usually optimise the system it already has. A dedicated research function can ask whether a different system should exist, examine developments outside the company and test ideas that are too uncertain for the live operation. The two groups must remain close enough that research understands reality and operations can absorb the results.

Focused founders are well suited to this work because they are willing to stay with a problem after its novelty has disappeared. They understand that progress may consist of reducing a failure rate, shortening reconciliation time or removing one confusing step from a customer journey. These improvements rarely produce glamorous headlines, but together they create the trust on which serious companies are built.

The risk is confusing persistence with stubbornness. Passion for a problem should not become attachment to one solution. A founder who wants to find an answer must be willing to discard an approach that evidence has disproved. Focus means remaining committed to the customer’s important problem while repeatedly changing the method until the company finds something that works.

Africa needs more of these companies. Many of our largest opportunities sit inside processes that outsiders may call ordinary: energy distribution, identity, payroll, tax, transport, health records, industrial maintenance and security. They reward founders who can combine imagination with patience and who are willing to build dependable systems long after the market has moved to another fashionable conversation.

Technology wins in serious businesses when the people behind it care enough to make reliability a creative pursuit. The work may look quiet, but it is not uninspired. It is the product of founders and teams who have chosen one consequential problem and decided that they will keep learning until they solve it properly.