Artificial Intelligence: What changes when it stops being a trend and becomes part of a company's operating model?

This question is the starting point for a conversation that many organisations have not yet had, because they are busy trying out tools, attending demos, working out what AI makes possible. The problem is that this exploratory phase is not, in itself, transformation.

Transformation begins when Artificial Intelligence stops being a side project and becomes embedded in the way a company thinks, decides and executes. And that moment is closer than many Portuguese organisations imagine; not least because today there is a public support ecosystem that makes it financially accessible.

From enthusiasm to maturity: the difference between experimenting and implementing

Over the past two years, most companies have done something with AI. They have tested ChatGPT, installed a Copilot, asked someone from the IT team to explore the possibilities. This enthusiasm is legitimate and necessary, but it is not enough.

There is a fundamental difference between using AI and having organisational AI Readiness. The former is an activity. The latter is a capability. And capabilities take time, structure and strategic intent to build.

“Raising the level of organisational AI Readiness will require moving from the experimental use of tools to a strategic and governed implementation.”

This transition does not happen through the accumulation of tools, but rather when the organisation answers, in a structured way, three questions:

Where does AI create real value in our processes? Specifically – in that particular process, with that data, in that team.
How is that value measured and governed? With what criteria, with what responsibilities, with what ethical and operational limits.
What skills does our team need that it does not yet have? Because implementation without literacy produces dependency, not autonomy.

AI literacy: the next wave of fundamental training

For decades, knowing how to use a computer was an advantage. Then it became a requirement. The same is happening with Artificial Intelligence, only much faster.

AI literacy, focused on a human purpose, is being defined as an essential requirement for business competitiveness and professional dignity. It is the next wave of fundamental upskilling for every profession and every sector.

What does it mean, in concrete terms, to have AI literacy within a company? It means that everyone needs to understand:

  • How AI can support and accelerate (and not replace) their work.
  • What data feeds the systems and what implications that has.
  • How to identify incorrect, biased or incomplete results.
  • How to collaborate with AI systems in a critical and responsible way.


An organisation in which only the IT department “knows about AI” does not have AI Readiness. It has a dependency disguised as innovation.

The three stages of organisational AI maturity

01 Exploration

Occasional, uncoordinated use of tools. Individual enthusiasm, without structure. Value difficult to measure.

02 Integration

AI embedded in specific processes. First usage policies. Skills developed intentionally.

03 Governance

Strategic and governed implementation. Cross-cutting literacy. AI as a sustained competitive advantage.

Most Portuguese SMEs are today at the first stage or making the transition to the second. The third stage is the destination, but you do not get there in a single leap. You get there with guidance, method and the right partners.

What the EU and Portugal are doing to accelerate this transition

The good news is that this effort does not have to be made exclusively with your own resources. The European Union and the Portuguese State have mobilised concrete funding mechanisms to support SMEs in this transition — specific funding lines so that companies can carry it out in a sustained way, without putting their cash flow at risk.

Funding available

Main support schemes for SMEs in Portugal:

IFIC – AI in SMEs Line – PRR

Direct support for introducing Artificial Intelligence technologies in Portuguese SMEs, as a lever for productivity and competitiveness. Non-repayable funding (75%) for projects integrating AI into business models and operations.

Horizon Europe Programme

European funding for AI research and innovation projects, with specific windows for SMEs and business consortia.

Industry 4.0 and Business Digitalisation

Complementary funding lines that support the digitalisation of processes; the prerequisite for an effective implementation of AI in management systems.

AI begins with data — and data lives in the systems

There is a frequent misconception in the conversation about AI in companies: the idea that transformation begins with tools. In fact, it begins with data.

AI is only as good as the information that feeds it. And in companies, that information is scattered across multiple systems: ERP, production management, point of sale, HR, logistics. When these systems do not communicate with each other in a structured way, AI cannot generate real value for lack of adequate context.

That is why the digitalisation of business processes is not the point of arrival. It is the starting point for intelligence. Intelligent automation, the kind that continuously analyses, anticipates and optimises, is only possible on a clean, integrated and accessible database.

The difference between a company that “uses AI” and a company that “has AI integrated into its operating model” lies precisely there: in the quality and organisation of the information that feeds decisions. And that difference translates, day to day, into faster decisions, more efficient operations and teams with more time for what really matters.

The right question to begin with

If there is one question that every organisation should ask before choosing any tool, before submitting any funding application, before defining any training plan, it is this:

“Where, in our operation, is human intelligence held hostage by tasks that could be performed by a machine?”

That is the question that opens the right path.

From the moment an organisation can answer the first question clearly, implementation becomes an engineering exercise, rather than a matter of hope or faith.

Artificial Intelligence will not transform companies automatically, but it will transform the companies that decide, with method and intent, to stop treating it as a trend.

Where does your organisation stand on this path?

The transition from experimental use to the strategic implementation of AI is a process that is already happening in the companies you compete with. Today there is funding, technology and partners. You just need to begin with the right question.