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Your organisation has backups, firewalls, security policies and incident response procedures in place. But can it demonstrate that everything works as intended?
According to the Unlocking the Potential of AI in Portugal 2026study, conducted by Strand Partners for Amazon Web Services (AWS), 51% of Portuguese businesses already use Artificial Intelligence. However, only 16% have reached an advanced level of integration.
These figures reveal an important reality: adoption is accelerating, but the transformation of business processes still has a long way to go.
Many organisations have started by introducing AI tools to support individual tasks, such as content creation, information analysis or the automation of routine activities.
Although these applications can improve productivity, the technology's true potential emerges when it works alongside an organisation's systems and processes.
For example, an AI solution integrated with business applications can help automate workflows, retrieve information from different sources and support decision-making.
Achieving this level of integration requires several elements to be considered:
Systems and applications: ensuring that different platforms can communicate and share information.
Data: ensuring that the information being used is relevant, consistent and accessible.
Infrastructure: assessing whether existing systems have the capacity to support new applications and processes.
Security: controlling access, protecting data and defining boundaries for AI usage.
Development: adapting solutions to the organisation's specific needs and objectives.
Without these conditions, AI risks remaining an isolated tool, with no effective connection to day-to-day operations.
Moving from experimentation to more advanced use involves challenges that go beyond choosing a tool.
A lack of technological skills, budget constraints and the complexity of existing systems continue to make integration difficult.
Furthermore, many businesses rely on applications developed at different times, different suppliers and processes that are not always designed to communicate with one another.
This is where custom development becomes particularly relevant.
Rather than continually adapting processes to the limitations of available tools, organisations can develop features and integrations that address their actual needs.
Not all businesses face the same challenges, have the same systems or pursue the same objectives. For this reason, a one-size-fits-all technological approach is not always the most suitable.
Custom development makes it possible to create applications, features and integrations tailored to each organisation's specific needs.
This approach can help to:
Automate internal tasks and processes.
Integrate applications that operate independently.
Improve access to and the flow of information.
Develop specific features for different business areas.
Integrate AI capabilities into existing systems.
The goal is not to introduce technology simply because it is available, but to ensure that it addresses a specific problem and delivers value to the organisation's operations.
As AI gains access to more data and systems, security responsibilities increase.
It is important to define who can access information, what permissions are assigned to applications and how their activities are monitored.
Integration must therefore take security into account from the planning and development stages, rather than treating it as an afterthought.
Artificial Intelligence represents an opportunity to improve processes, increase productivity and develop new ways of working.
However, its value depends on each organisation's ability to integrate the technology into its operational environment.
At ORBCOM, we help businesses develop, integrate and secure technology solutions aligned with their needs, connecting applications, infrastructure and security.
Talk to our team and discover how we can help turn technological needs into practical solutions.
Uma empresa está mais preparada para implementar inteligência artificial quando os seus sistemas comunicam entre si, os dados estão organizados e protegidos, a infraestrutura consegue suportar novas exigências e existe uma responsabilidade clara pela integração da IA. Antes de escolher uma ferramenta, é importante avaliar estes quatro elementos.
Antes de investir em IA, uma empresa deve avaliar quatro áreas principais: integração dos sistemas, localização e segurança dos dados, capacidade da infraestrutura e responsabilidade pela integração. A tecnologia de IA pode ser poderosa, mas o seu valor depende da capacidade da empresa para lhe disponibilizar dados, sistemas e infraestrutura adequados.
A infraestrutura deve conseguir suportar maior processamento de dados, tráfego e exigência sobre a cloud e a rede. Antes de implementar IA, a empresa deve avaliar se a infraestrutura atual consegue acompanhar estas necessidades. Caso contrário, a implementação pode tornar-se lenta, instável ou mais dispendiosa do que o previsto.
O primeiro passo é garantir que os sistemas comunicam entre si e que os dados necessários estão acessíveis de forma estruturada e segura. CRM, ERP, sistemas operacionais e outras fontes de informação não devem funcionar como silos. Também é essencial definir quem pode aceder aos dados e como esses acessos são controlados.
Os principais riscos incluem sistemas que não comunicam entre si, acesso inadequado a dados, infraestrutura insuficiente e falta de responsabilidade clara pela integração. A IA pode também aumentar a superfície de acesso à informação da empresa. Por isso, segurança, gestão de acessos e integração devem ser consideradas antes da implementação, e não apenas depois.
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