Greetings to you wherever you may be,

I wish you well and thank you for taking the time to visit Business Learning Systems and this section to guide your future through knowledge today.

For decades, business problems have been solved with computer programs. Those programs, in turn, require programmers, skilled specialists who translate business needs into code. While this model works, it also introduces friction: long development cycles, high costs, competing priorities, and a persistent gap between what the business wants and what the software ultimately delivers.

For many leaders, that friction has simply been accepted as part of running a business. After many years in corporate life, I transitioned into business coaching, where I help individuals run and grow their companies more effectively.

Early in 2025, during a conversation with a colleague, I shared my own skepticism about AI (including what I now call Myth #1). Her response was refreshingly direct: AI isn’t going away—get with the plan, or get left behind. About an hour later, an advertisement for an AI course landed in my inbox. Coincidence or divine nudging? Either way, I enrolled, and it changed how I think about business problem-solving.

I learned about large language models (LLMs), prompts, agents, bots, and how AI can support, and in some cases automate, business processes that once required custom software and teams of developers. What became clear very quickly was this: AI collapses the distance between business intent and execution.

My own experience using LLMs, for a host of reasons, has carved 80% off my workload, and I haven't even automated any processes.

So, while the content was great, it was also overwhelming.