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

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

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.

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

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.

And that’s the paradox: you’re buying intelligence, but unless you govern it smartly, it makes your cost model dumber.