The distance between having an idea and seeing it turned into something that works is shrinking. Software creation with AI is no longer the exclusive territory of programmers and is becoming accessible to anyone with a business problem to solve. A recent piece of news illustrates this well: the Replit platform has begun offering its free mode powered by OpenAI’s GPT‑5.6 Luna model, with the goal of allowing millions of users to build applications and agents without barriers to entry (source: OpenAI, openai.com/index/replit).
At Tisa we follow these signals closely, not because of trends, but because they mark what will soon be possible —and profitable— for a company like yours. In this article we separate the eye-catching headline from what really changes for an SME, and how to take advantage of it without losing focus.
What Replit has announced (and why it matters)
According to OpenAI, Replit and OpenAI itself have shared a goal for years: to make creating software accessible to anyone with an idea, regardless of their technical profile. Replit was one of the first to build on GPT models, when software development with natural language was just beginning to take shape.
The announcement has two ingredients. The first is technical: GPT‑5.6 Luna combines capability, a good price‑performance ratio, and reliable inference at large scale. The second is economic: OpenAI’s recent price cuts have made it viable to offer that experience in a free mode. In the words of Amjad Masad, CEO of Replit, the model’s cost was "one of the last barriers" to putting software creation within everyone’s reach
In practice, the user can explore, plan and refine an idea —with responses, suggestions and analysis in seconds— within the same environment where they will later turn it into real software. When a task requires more advanced reasoning, the platform routes it to a more powerful model (GPT‑5.6 Sol) and then returns to free mode while preserving the project’s context.
Why price matters, not just power
Here lies the underlying lesson, and it is the one that interests any company manager: the great change of AI in 2025 is not only that the models are smarter, but that they are much cheaper. When the cost per task drops, advanced intelligence stops being reserved for exceptional cases and can be integrated into more products, more workflows and more everyday moments.
For an SME, this translates into something very concrete: ideas that a year ago did not pay off —a small internal assistant, an automation, a prototype to validate a service— today are starting to become economically reasonable. The barrier is no longer so much "do we know how to program this?" as "are we clear about what problem we want to solve?".
What software creation with AI changes for your company
Democratizing the building of applications opens up real opportunities, but it is worth looking at them with a business criterion:
- From idea to prototype in days, not months. You can validate a hypothesis with a minimum product before committing a large budget.
- Less dependence for small things. Simple tasks and automations can be tackled with internal teams supported by AI tools.
- More focus on the problem. When the technical part becomes cheaper, value shifts towards properly understanding the process, the data and the objective.
That said, just because something can be built quickly does not mean it is ready for production. A prototype generated in minutes is a starting point, not a reliable management system. That is where experience continues to make the difference: integration with your ERP, security, data governance, maintenance and fit with your real processes.
From the tool to the use case: Tisa’s approach
At Tisa we have been supporting private companies in their digital transformation since 1987, and our Artificial Intelligence and data line starts from a simple idea: AI applied by measurable use case, not AI for the sake of having it. Software creation with AI is a means; the end is to solve a concrete problem that you can quantify.
Our work usually follows this path:
1. Identify a use case worth pursuing
Before writing a single line, we define which process to improve and how we will measure the result (time, errors, cost, satisfaction). A good use case adapted to the business avoids the classic AI project that impresses in the demo and does not deliver value.
2. Put the data in order
AI performs to the extent that your data is organized and governed. We define data governance protocols and take advantage of techniques such as RAG so that assistants respond with your company’s own, verifiable information, reducing the risk of made-up answers.
3. Build on a solid foundation
As a Microsoft partner and ISV, we land these solutions on Business Central and Power Platform (Power Apps, Power Automate and Power BI), in addition to custom development when needed. This way, what begins as an idea ends up integrated into your management, not as a loose island.
4. Enable the team
Technology only works if people use it. We train teams to leverage AI strategically and sustainably over time.
Optimism with feet on the ground
Sam Altman, CEO of OpenAI, imagines an "entrepreneurial boom" when anyone with an internet connection can build a product or launch a startup. It is a stimulating vision, and it is partly right: multiplying how many people can create software enormously broadens who can use technology to improve their business or their community.
Our reading is more pragmatic. These tools lower the barrier to entry, and that is excellent news. But the competitive advantage will not lie in using the latest trend, but in choosing the right problem, having the data prepared and integrating the solution into the rest of your operation. That is where a partner with a track record saves you time, money and headaches.
Shall we talk about your case?
If you are wondering which part of all this fits your company today —from an internal assistant to automating a process or modernizing your ERP with AI— at Tisa we help you separate the realistic from the promising. We propose starting with a no-obligation assessment to identify a first use case with clear returns.
Write to us at info@grupotisa.com, call us at (+34) 971 305 885 or visit grupotisa.com. Turning a good idea into software that works is, precisely, what we have been doing since 1987.