How to fund an AI project with Portugal's public grants

Can you get public funding for an AI project in Portugal?

Yes. Portuguese SMEs can fund AI and digitalisation through public programmes, chiefly the Portugal 2030 framework and the PRR, plus digital transition incentives administered by bodies like IAPMEI and Portugal Digital. AI usually qualifies as part of a wider modernisation project.

There is real public money in Portugal aimed at helping companies modernise, and AI adoption fits inside that goal. The two big frameworks are Portugal 2030 (the country’s EU structural funds programme for 2021 to 2027) and the PRR, the Plano de Recuperação e Resiliência funded through NextGenerationEU. Both run incentive lines that touch digital transition, competitiveness and innovation. Alongside them, agencies such as IAPMEI and the Portugal Digital initiative administer or signpost incentives framed around digitalising small and mid-sized companies, the kind of programmes people loosely call “IA nas PME”.

One honest caveat up front: you will rarely find a button that says “apply here for an AI grant”. Funding flows through open calls (avisos), each with its own scope, eligible costs and co-financing rates, and those change constantly. Treat this guide as a way to approach funding, because the terms themselves move. Before you build a plan around any number, confirm it on the official programme site for the call that is open.

What do these AI and digitalisation grants actually fund?

Broadly, they fund the work of becoming a more digital, more competitive business: adopting software and AI tools, modernising and automating processes, the related consultancy and integration, and sometimes the training to make it stick. Eligible activities and cost categories differ by programme and by call; the official aviso is the source of truth.

It helps to think of it this way: these programmes fund business improvements, and AI is one way to deliver them. A project that automates a slow back-office workflow, digitises a paper-bound process, or adds an AI agent that handles repetitive customer questions reads as digital transition and competitiveness, which is what the calls are written to support. Typical cost categories across digitalisation incentives include software and tooling, specialist consultancy and integration work, and sometimes capacity building or training.

The programmes below are real public frameworks. The summaries say what each is broadly for and leave out the terms of specific calls on purpose, because those change.

Who is eligible, and how does the application work?

Most of these incentives target PMEs, small and mid-sized companies registered and operating in Portugal, and run as open calls. You apply to a specific aviso, the project is assessed, and funding usually comes as co-financing: a share of eligible costs reimbursed, often against milestones.

The general shape of the process is consistent even when the specifics are not. A call opens with a defined scope, eligibility rules, eligible cost categories and a co-financing rate. You submit an application describing the project, its costs and its expected results. It is assessed and, if approved, funded as a reimbursement of eligible spending, which means you typically spend first and claim back, with reporting and evidence required along the way. Some programmes allow advances; many do not. That is why cash-flow planning matters as much as the grant itself.

Eligibility almost always centres on being a PME registered in Portugal, with sector rules, minimum project sizes and other thresholds set per call. We deliberately do not quote percentages or amounts here, because they differ between avisos and change over time. The reliable move is to read the conditions for the call that is open on portugal2030.pt or recuperarportugal.gov.pt before committing to anything. You can also see who has received public funds on the transparency portal, transparencia.gov.pt.

How do you structure an AI project so it gets funded?

Give it three things every application and every reviewer wants: a clear scope, measurable targets and a credible delivery plan from a team that can ship it. That turns “we want to use AI” into a defined project with a problem, a metric and a costed build you can put on paper.

A vague intention, “we would like some AI”, is hard to fund and harder to deliver. A fundable project names the specific process it improves, states the expected change in numbers (hours saved, errors cut, response time reduced), and comes with a scoped quote and a delivery plan. That is also what makes a project work once the money lands. It is the same discipline behind process-first AI adoption: map the process, redesign it, then add the AI.

Our AI consulting and audit produces this kind of plan: we interview the people who do the work, map the process as it really runs, rank the opportunities by return, and hand you a written roadmap with measurable targets and a fixed quote to build it. The roadmap is yours to keep whoever builds it, and the build can be done-for-you agents on Qoren or custom development on your own stack. Approval is never guaranteed; the call’s own criteria decide that.

What is the first step?

Map the process and scope the project before you chase a specific call. Know what you would build, what it would cost and what it would change, in numbers. Then match that to an open aviso and verify its terms. Picking a programme first and reverse-engineering a project to fit it is a common way for funded projects to fail.

The instinct is to start with the grant, but a project shaped to chase whatever money happens to be open tends to be a project nobody needed, and an unused AI system is a grant you have to justify in a report you would rather not write. Start with the work: what would you build, why, and what number would it move? Once you have a scoped, measurable plan, find the call it fits and verify the current terms.

That is the cheapest, lowest-risk way in. If you already know the workflow, book a free 30 minute call or send a brief for a fixed-price quote within 2 business days; a written quote is the costed plan an application asks for. If you are not sure what to automate yet, the AI consulting and audit gives you the documented plan a funding application is built on. And if you are weighing up who to trust with the build, our guide on choosing an AI agent development company covers the questions that protect both your budget and your grant.