For sixty years, building software meant converting a job into rules a machine could follow: the steps, the exceptions, the order things happen in. Some industries could supply that. Banking wrote itself down. So did air travel, retail and payroll.
Most did not. A venue manager knows which Tuesdays fill and which don’t, and could not explain why in terms a database would accept. A site foreman resequences a week of work in his head after one phone call. A dispatcher holds forty variables and a personal history with every driver. That knowledge is real, load-bearing and unwritten — and it was never a failure of documentation. The work is too situational to specify in advance, and for industries that size, nobody was going to fund the attempt.
So software went where the writing was already done, and left everyone else to spreadsheets. In this country that is most of the economy: 1.7 million active commercial registrations, and small and mid-sized firms employing more than eight million people.
That constraint is gone. A system that learns from how work is actually performed no longer needs the rules supplied up front. And when software does the work rather than merely recording it, what it can be paid for stops being a seat and starts being the labour it saves — which means markets that were too small at software prices are viable at labour prices.
This is not one opportunity. It is several hundred small ones, unevenly distributed and unevenly visible. We build against the ones we can see clearly.
1.7M
Active commercial registrations in Saudi Arabia at the end of the third quarter of 2025. Small and mid-sized businesses employ more than 8.4 million people here.
Monsha’at · Ministry of Commerce