Most discussions about artificial intelligence have focused on comparing foundation models. More recently, the debate has shifted toward prompt engineering. Entire consulting offerings now promise better business outcomes through better prompts. The Rise of Organizational Intelligence The language model is becoming the most commoditized component of the solution. As foundation models become increasingly accessible and technically comparable, competitive advantage is shifting

If expertise could be created through prompting, organizations using the same models and similar prompts should produce broadly similar recommendations.

A corpus answers the question: “What do I know?” A persona answers the question: “How do I think and judge?” The combination is significantly more powerful than either component individually.

What makes sourcing analysis difficult in real life is rarely a lack of information. Usually, the difficult part is interpretation.

It always amuses me when people post "use my prompts", which sounds to me like "skip time on a diagnosis, take my medicine."

The opportunity is usually not another platform purchase. The opportunity is operational integration and administrative simplification.

The Kraljic Matrix was never intended to become a yearly PowerPoint ritual. It was supposed to support procurement decision-making. The more repeatable, transparent, and automated the process becomes, the more useful the model actually appears.

Most supplier surveys don’t fail because of bad questions. They fail because of how they are performed.

Here we are expecting a breakthrough performance without: redesigning processes (e.g., digitisation vs digitalisation) relieving people's fears of job loss, developing new skill sets, assigning ownership, enforcing usage, measuring outcomes.

Whether the large SaaS vendors can keep control of the orchesration and integration layer remains one of the most interesting questions in the enterprise software industry.

Most organisational inefficiency comes from undefined states, unclear ownership, and uncontrolled transitions — not from a lack of intelligence. Those problems are solved with basic RPA and workflow design, not machine learning.

Nano-SaaS, therefore, emerges precisely where incumbents stop: at the level of micro-niche problems that only become viable when developed through vibe coding.

Automate document approval workflows with Microsoft 365, Power Automate and SharePoint. Eliminate email approvals, improve governance, and accelerate business processes.

The iterative, visual, rapid experimentation model that gets the stuff done without ceremonies. It’s not software engineering. It’s not “shadow IT” either. It’s problem-solving - by the citizens and for the citizens.

In times when Zero Bureaucracy becomes the government strategy, Vibe Coding can be the way to fulfil bold declarations and truly embrace AI.

Nevertheless, I encourage you to try. The joy of the working process is remarkable, and it's more intense the longer you have been working and the deeper you have drowned in desperation and disbelief on the midway.

Payment terms are only an “asset” if it produces financial benefits or savings.

Writing prompts are just a tiny bit of the craft of becoming a capable AI user. You may try to understand the character of the GPT you're dealing with, and it's not a simple one.

"He who would learn to fly one day must first learn to stand and walk and run and climb and dance; one cannot fly into flying." Friedrich Nietzsche We’re often told that mastering prompt engineering is the key to thriving in the AI era. But in my experience, the real power to optimise and streamline business processes has been at our fingertips for years. The RPA Alert This potential is called the RPA - Robotic Process Automation. The hype around RPA was there about a decade

GenAI is enhancing productivity rather than replacing people.