AI consulting and custom AI development for SMEs

AI is the technology that allows machines to perform tasks that normally require human intelligence, such as analysing data, understanding language or making predictions. It is used to automate processes, improve decisions and build smarter products.

Not always. Today there are AI solutions that work with little data, or even none of your own, thanks to pre-trained models. In many cases what matters most is not the amount of data but its quality and the use case.

No. Many SMEs can use AI through accessible tools and cloud services. There are ready-to-use solutions that do not require large teams or complex infrastructure.

It depends on the case, but many AI projects can start at a low cost. The usual approach is to begin with a small pilot and scale only if it proves real value for the business.

Yes. Most AI solutions integrate easily with existing software such as CRMs, ERPs or internal tools. They are usually connected through APIs, without having to replace your current systems.

Yes, as long as it is implemented properly and complies with security and data protection rules such as the GDPR. The key is to define clearly which data is used, where it is processed and who has access to it.

In general, AI automates repetitive tasks and supports decision-making. Its main purpose is to increase productivity and let people focus on higher-value work.

AI can make mistakes, especially when the data or context is not right. That is why it is important to review the results and combine AI with human judgement.

Some cases show benefits within weeks, especially in automation and productivity. More complex projects can take months, but they usually deliver medium- and long-term impact.

The best place to start is a specific, well-defined business problem. Small, clear cases let you learn quickly, reduce risk and prove value before scaling up.

AI can help personalise learning, create educational content and automate admin tasks. For example, generating teaching materials, marking exercises, creating virtual tutors or adapting the pace of learning to each student.

Yes, AI is used to improve care, follow-up and service efficiency. Clear examples are patient support chatbots, analysis of medical records, tracking healthy habits or supporting diagnosis.

AI can help manage cases, prioritise resources and improve the support people receive. For example, automating reports, detecting at-risk situations, organising schedules or improving communication with service users.

AI helps improve sales, stock management and customer experience. It can be used for product recommendations, demand forecasting, automated customer service or analysing buying behaviour.

AI helps optimise operations and improve the customer experience. Examples include booking chatbots, dynamic pricing, personalised recommendations and automated replies to customers.

AI can improve planning, quotes and project management. It is used to estimate costs, plan works, spot errors in drawings or automate project documentation and tracking.

AI helps optimise routes, times and operating costs. For example, smart route planning, delay prediction, fleet management and automated incident handling.

AI helps create content, analyse campaigns and improve results. It can be used to generate copy, segment audiences, optimise ads and analyse campaign performance in real time.

AI improves the efficiency, quality and maintenance of processes. Clear examples are predictive maintenance, automated quality control and production optimisation.

AI saves time and improves service quality. It is used to draft documents, analyse information, automate repetitive tasks and support decision-making.