Transformación Digital
For twenty years the logic was always the same. You'd hire a SaaS, watch how it worked and then bend your operation to fit into it. If the CRM wanted you to record data a certain way, your team learned to record it that way. If the ERP didn't account for that odd step in your process, the odd step disappeared or moved to a hidden spreadsheet. The software gave the orders and the company obeyed.
That's over. And I don't say it as a slogan, I say it because the maths that held up that model changed.
Nobody adapted to software for fun. They adapted because building something custom was expensive, slow and risky. An in-house development meant months of work, a technical team that most companies didn't have and endless maintenance. Against that, paying a monthly licence and giving up a bit of your way of working was the rational choice. The SaaS standard was the toll you paid to avoid having to build.
The equation was clear: buy cheap and adapt, or build expensive and keep your process. Buying almost always won.
AI didn't change what software you need. It changed what it costs to build it. What used to take three months and a team, today you prototype in days. The cost of "making it your way" collapsed, and when a cost collapses, the decisions that depended on it flip.
Now the question is no longer "which SaaS do I adapt to?". It's "why should I adapt, if I can build something that adapts to me?". The software can reflect your real process, that odd step included, because that odd step is often exactly what makes you different. You customise, iterate, adjust as you go. The chip flipped: before, the process served the software; now the software serves the process.
This is where you have to be careful, because it's easy to take it to the extreme and end up looking bad.
Not every SaaS dies. For the generic stuff, adapting to the standard still makes sense. Your email, your basic accounting, your standard invoicing. That software encapsulates best practices that have been polished for years, and reinventing them would be a waste of time. There, keeping on buying and fitting in is the smart move.
Where the paradigm really changes is in your core, in what sets you apart from the competition. That process of your own that today you force into a generic tool where it half works. That you no longer have to give up.
And watch out for another trap. Building with AI is easy, maintaining it isn't. Technical debt, security, support and updates still need human judgement. Standing up a prototype over a weekend isn't the same as sustaining a tool your operation runs on every day. Anyone selling you that AI eliminates that is selling you smoke.
The new map is simpler than it seems. Standard SaaS for the commodity stuff, the things that don't make you special and where the standard already solved the problem better than you would. And your own software, built and customised with AI, for what actually is your competitive advantage.
The advantage is no longer in having the software. Almost everyone has the same tools. The advantage is in having your own processes and having the software reflect them instead of crushing them. AI didn't come to give you another button to press, it came to give you back control over how you work.
Whoever keeps asking "what do I adapt to?" is going to be late. Today's question is a different one: "what do I build to my own measure, and what do I leave to the standard?".