Applying Artificial Intelligence to Business Management

We started with a simple premise: can we develop a computer program that would help C-level executives develop and implement business strategy while proffering solutions to a wide array of business challenges? Can we get the software to do it with the intelligence of a competent human manager? The implication is simple: can we create an AI entity for business management?

Research on AI primarily focuses on 4 key components of human intelligence: learning, reasoning, problem-solving, and perception.

1.   Learning: Our AI entity must learn from previous experiences and proffer solutions based on its learnings. For instance, if manager A performs action X to attain result Z, then our AI entity must recommend action X to any manager seeking result Z.

2.   Reasoning: Intelligent entities can draw inferences from disparate data. Our AI entity must assess business data and tell executives how the business is performing on a variety of business objectives.

3.   Problem-solving: Intelligent entities accept and use inputs to compute results. Our AI entity must accept inputs and use it to answer management questions like “which of my employees has worked hardest (work rate) or most efficiently (work results) at my financial objectives?

4.   Perception: intelligent entities can scan environmental features to deduce meanings and assess relationships. Our AI entity must review management data to identify individual manager’s/employee’s efficiency and effectiveness at their jobs.

It has taken two years of active development to build a system that achieves these four components of AI. Our software is going through its final quality check. We plan to launch early next year and hope to provide business managers with a unique tool for implementing their business strategies. Stay tuned.

Back to Tech

I wrote my first software in 1988. I was 12 and had just been gifted a programmable calculator by a benevolent guy who was dating one of my sisters. The trusty TI-82 calculator provided my first incursion into the tech world. I spent countless sleepless nights exploring the wonders and mysteries of this computing powerhouse with an incredible 28KB RAM (yes, 28KB) and an unbelievably smooth FORTRAN interpreter.

Let me backtrack a little bit. I was a young kid in a really small town in Southwest Nigeria. We had a total of one TV station that only operated between 4:30 pm and 10 pm, and didn’t even have a local library. I had obviously never seen a computer prior to the arrival of this glorious TI-82.

I quickly fell in love with its graphing abilities. I drew and redrew sine curves, binomial distributions, and polynomial functions. Graphing was fun until I discovered that this computing marvel could also develop fully functional programs. And I was pleasantly surprised to find that its operating manual included basic programming lessons which I used to learn TI-BASIC and FORTRAN.

My first project was the game Tic-Tac-Toe. It was implemented with a series of if-then-else loops and accepted “1” and “3” as inputs since I didn’t know how to converts strings (X and O) to numbers for the win/lose computations.

That calculator eventually stopped working and with it went my access to computers. I ended up studying mechanical engineering in college and have gone on to work in consulting, advertising, and finance.

But I retained my love for technology and continued to code occasionally despite my busy schedule.

About two years ago, I started a tech development firm in Lagos, Nigeria. We took projects from clients across the world and built technology that has been used and deployed in Europe, North America and across Africa.

Sometime last year, we got into the Microsoft BizSpark program (https://bizspark.microsoft.com/) and started specializing in the .NET framework. We became a .NET dev firm but have recently started exploring Python/Django.

In the process of developing software for global businesses, we have developed tech competencies that are at par with the rest of the world. We have also developed enterprise-level security protocols, UI/UX skills, and market sensitivities that have prepared us to build our own products.

Earlier this year, we transition to a mono-product software startup with global aspirations. We focused on building, testing, and implementing our own flagship product targetted at the global enterprise market.

We know the enterprise market and have built a product that we believe will change strategy implementation forever. We will launch our flagship product shortly and hope to rewrite the template for African startups.

Stay tuned.