Are We Entering the Age of Hyper-Personalised Software?

I've been watching a pattern emerge that I think is worth naming.

Recently, a friend showed me a meal planner app he had built for his family. It was genuinely impressive: smart, thoughtful and layered with features that made it powerful. But what mattered most was not the technology itself. It was that the software fit them exactly.

They had tried plenty of off-the-shelf tools before. None of them stuck. The one that worked the way they actually thought about meals, routines, preferences and shopping has become part of their family's daily life.

That feels significant.

In our own business, we're doing something similar - closing the gaps our SaaS tools leave behind. Replacing the spreadsheets that quietly accumulated to patch over reporting limitations. Building interfaces that give us real time data and AI insights shaped to how we actually work.

And once you start down that path, a bigger question emerges.

If we can close the gaps, why stop there?

Why not keep going? Why not own more of the stack, reduce dependence on generic tools, and build software that reflects how the business actually thinks, operates and differentiates?

For a long time, the promise of SaaS was democratisation. Solve problems generically across whole classes of businesses. Give companies access to powerful tools without the cost, complexity and risk of building everything themselves.

It worked. It changed the way businesses operated, and for many, it was exactly what they needed.

But it came with a trade off we stopped noticing.

Businesses increasingly had to shape themselves around the software, rather than the software shaping itself around the business.

You can see that trade off everywhere. It is in the export button that leads to another spreadsheet. It is in the manual report someone still builds every Friday. It is in the dashboard that almost answers the question, but not quite. It is in the workaround that started as a temporary fix and quietly became part of the operating model.

It's why spreadsheets never really went away.

They became the seams between systems. The places where people stitched together the gaps that SaaS could not close.

For years, that was simply the reality of the decision. SaaS offered speed, scale and proven capability. Custom software and product development required deliberate investment - time, budget, focus - and the case had to be strong enough to justify it. So most businesses adopted strong platforms and adapted around them, reserving tailored development for the problems that were specific enough, or important enough, to warrant it.

But that's starting to change.

AI is compressing the time and cost it takes to design, build and deliver custom software - not incrementally, but meaningfully. Work that once required a significant upfront commitment can now be explored and delivered more iteratively. The threshold for when tailored software makes sense has dropped. For a growing number of businesses, it is no longer a question of whether they could build something that fits - it is a question of where to start.

That does not mean replacing every SaaS tool. Generic platforms still have enormous value where the process is standard and the need is well understood.

But where the process is specific, where the customer experience matters, or where the way a business operates is part of its advantage - the opportunity is different.

It becomes possible to ask a better question.

Where could software fit us more closely?

So maybe "hyper-personalised" is the wrong frame. What we are really moving towards is simpler.

Software that fits.

Businesses no longer have to look like everybody else to use great software. They can build around what makes them different.

That feels like a meaningful shift.