Sooner or later, every company faces the same question: do we adapt our process to existing software, or build software that adapts to our process? For years the answer was almost always the former, because custom work was slow and expensive. Artificial intelligence is changing that equation.
When off-the-shelf software pays off
For processes common to any company —accounting, payroll, email, office tools— off-the-shelf software is almost always the best option: it’s proven, updates itself and its cost is spread across thousands of customers. Nor does it make sense to reinvent a full ERP or CRM.
When custom software pays off
- When the process is what sets you apart from the competition: the way you quote, plan or serve customers.
- When the process lives in spreadsheets, emails and specific people, and depends on nobody making a mistake.
- When you pay for off-the-shelf software you use at 20% and still need patches for what’s missing.
- When you want AI to work with your company’s real data, not with a generic chat.
Calculate the real cost
Compare over three years. Off-the-shelf: per-user licenses, modules, customizations and the time your team spends working around its limitations. Custom: development, hosting and maintenance. Very often the highest hidden cost is the hours lost.
What changes with AI
AI changes two things. First, how software is built: with AI-assisted development, a working prototype can be ready in a short time and validated with real users before investing more. Second, what gets built: software is no longer just screens and forms, but agents that prepare, alert and execute tasks, plus functions exposed via API and MCP so models like ChatGPT or Claude can use them with permissions.
According to Spain’s INE, 21.1% of Spanish companies with 10 or more employees were already using artificial intelligence in early 2025, 8.7 points more than a year earlier. The difference will be made by those that connect it to their own processes and data.
How to get started
Pick a specific process, measure what it costs today in hours and errors, and build a scoped prototype. If it works, you scale it; if not, the investment was small. It’s the approach we follow in our AI Process Improvement diagnostic.
Conclusion
Off-the-shelf software for what’s common, custom software for what makes you unique. If you have a process that deserves its own tool, see how we approach custom software with AI.
