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Funding guide

AI implementation grants in Poland 2026 – PARP, KPO, Horizon Europe, FENG

In 2026 Polish companies have access to the largest pool of public funding for AI deployments in history. Available programmes offer 70–85% co-financing for projects ranging from €50k to several million euros. This article maps which programmes are realistic for mid-sized B2B companies, the thresholds, timelines and how to prepare a successful application.

Author: Kacper Włodarczyk, Founder of ALGORCOMPPublished: May 29, 2026Reading time: 18 min readArtificial intelligenceFor: Mid-sized company
AI implementation grants in Poland 2026 – PARP, KPO, Horizon Europe, FENG

What AI funding programmes are available in Poland in 2026?

Poland offers four main streams of public funding for AI deployment: PARP via the SMART path, KPO (National Recovery Plan) investment A2.1.1, FENG (European Funds for a Modern Economy), and Horizon Europe at the EU level. Each has a different beneficiary profile, maximum co-financing rate and requirements.

For a mid-sized B2B company (50–500 people) PARP SMART and FENG are the fastest accessible. KPO offers higher thresholds (up to 80%) but more rigorous innovation requirements. Horizon Europe is realistic for R&D projects run in a consortium with a foreign partner or a university.

  • PARP SMART – the main path for mid-sized firms with a concrete AI deployment idea.
  • KPO – fast digitization tracks, including AI deployments ready to scale.
  • FENG – largest EU funding pool 2021–2027 for digital innovation.
  • Horizon Europe – for companies with an R&D element and a foreign partner.
Main AI funding programmes for companies in Poland 2026
ProgrammeMax co-financingProject budgetDurationProfile
PARP SMART path70% (SMEs)PLN 1–25M12–36 moProduct/process innovation implementation
KPO A2.1.180% (SMEs)PLN 0.5–4M6–18 moSME digitization, incl. AI
FENG 2.3270–80%PLN 0.5–15M12–24 moDigital innovation in SMEs
FENG Credit for Innovations80%up to PLN 50M24–36 moLarger innovation deployments
Horizon Europe (EIC Accelerator)70%EUR 0.5–2.5M24 moBreakthrough innovation, exit-ready

What is the PARP SMART path and who can apply?

The SMART path (PARP, measure 1.1) is currently the most popular innovation funding programme for mid-sized firms in Poland. In 2026 the second edition is open, with a total budget over PLN 7 billion. Maximum co-financing is 70% of eligible costs for micro and small firms, 60% for medium-sized, and in some lower-GDP regions up to 75%.

Critically – the SMART path lets you fund the entire AI deployment in a modular structure. Modules include: R&D, innovation implementation (technology purchase, integrations, training), R&D infrastructure, digitization, greening, competences and internationalization. An AI project typically combines R&D, implementation and competences modules.

A realistic AI project under SMART for a mid-sized B2B company has a PLN 800k–3M budget, with 60–70% being internal and external work (experts, integrations), 20–30% licenses and infrastructure, and the rest training and dissemination. Time from application submission to grant agreement is currently 4–6 months. The first advance payment usually arrives 7–8 months after submission.

  • Maximum co-financing: 70% for small firms, 60% for medium-sized (up to 75% in Eastern Poland regions).
  • Modular structure – combine R&D + implementation + competences in one application.
  • Innovation requirement at least at country scale.
  • Time: 4–6 months from application to contract, +2 months to first advance payment.
  • Own contribution and financial security required (bank guarantee or blank promissory note).
AI implementation grants in Poland 2026 – PARP, KPO, Horizon Europe, FENG

What is NRP Investment A2.1.1 and how to use it?

The National Recovery Plan is a path many advisors wrongly overlook for AI projects. KPO Investment A2.1.1 focuses on SME digitization, including AI implementations in process automation, data analytics and customer service. Maximum co-financing reaches 80% of eligible costs, one of the highest thresholds available in Poland today.

KPO is particularly attractive for companies that have a diagnosed process to automate and need to accelerate project start. The procedure usually takes 3–4 months from submission to contract – 30–40% shorter than PARP SMART. The downside is a smaller maximum amount (usually up to PLN 4M) and stricter requirements on completion timeline – the project must finish by the end of KPO horizon (June 2026 for most calls).

  • Maximum co-financing: 80% for SMEs – one of the highest rates available in Poland.
  • Faster procedure: 3–4 months from application to contract.
  • Lower maximum amount: usually up to PLN 4M.
  • Completion deadline imposed by the KPO framework.
  • Good for AI projects ready for fast deployment (technical specification already exists).

How does FENG work and what AI projects does it fund?

FENG is the largest pool of EU funds for Polish companies in the 2021–2027 perspective, with a total budget over PLN 41 billion. For AI projects the most relevant measures are 2.32 (SME Digitization) and the Credit for Technological Innovations from BGK. Co-financing reaches 70–80% for smaller firms, and the Credit for Innovations supports capital the firm couldn't access on its own.

The Credit for Technological Innovations is a specific instrument – formally a commercial bank loan, but 80% paid back by a BGK grant after successful innovation implementation. For a mid-sized B2B company planning a large AI deployment (above PLN 10M), it's often the optimal instrument – less bureaucracy than classic grants, but requires passing a creditworthiness assessment.

  • FENG 2.32: up to 80% for SMEs, projects up to PLN 15M, classic grant.
  • BGK Credit for Innovations: up to 80% paid by grant, projects up to PLN 50M.
  • Best for mid-sized firms with a mature AI idea ready for deployment.
  • Significant innovation required (at least country scale).
  • Path: 6–9 months from application to contract.
Polish company management team reviewing AI funding options

An AI grant is not a reward for an idea. It's a public investment that expects a concrete return for the economy. Applications that show specific ROI for the company AND impact on the industry have a several-times higher success rate.

What can and cannot be funded with an AI grant?

Each programme has a list of eligible costs, but for AI projects similar rules apply in practice. You can fund practically the entire deployment cost – from process analysis, through licenses, integrations and training, to marketing of results. You cannot fund ongoing operational activity, taxes, contractual penalties, or purchases from related entities above market rates.

The items most often questioned by evaluating experts are: very high own-payroll costs (above 30% of budget), unclear subcontractor fees (without market references), high marketing costs (above 5% of budget), and purchases of ready SaaS tools with subscription periods longer than a year.

  • CAN: software licenses, integrations, external expert work, infrastructure (cloud, on-prem, specialized hardware), training, security audit, results marketing (up to 5%), IP protection.
  • CANNOT: ongoing operational activity, taxes, penalties and interest, grant promotion costs, purchases from related entities above market, one-off office equipment.
  • LIMITED: internal labour costs (usually max 30%), results marketing (max 5%), indirect/administrative costs (max 7%).

How does an expert evaluate an AI grant application?

Across Polish and EU programmes a few universal evaluation criteria apply: innovation (does the project really do something new, or just repeat existing solutions), return on investment (is the financial projection realistic), organizational readiness (does the firm have the team, infrastructure and processes to deploy), alignment with horizontal policies (sustainability, equal opportunities), and impact on competitiveness (how the project changes the firm's market position).

The evaluating expert spends 4–6 hours on average on one application. That means the application must be clear, have well-separated sections, a concrete value proposition and readable success metrics. Long but unclear applications get low scores regardless of the quality of the idea.

  • Innovation of the product or process (at least country scale) — 20–25% scoring weight.
  • Impact on competitiveness and market potential — 15–20%.
  • Realism and quality of the budget — 15–20%.
  • Organizational readiness for deployment — 10–15%.
  • Project team and competences — 10–15%.
  • Environmental impact and sustainability — 5–10%.
  • Horizontal policies (equal opportunities, accessibility) — 5–10%.

What are the most common AI grant application mistakes?

Across hundreds of AI grant applications we've seen – ours and analyzed for clients – the most common mistakes repeat regardless of programme and company. Knowing them lets you avoid typical traps already at the application design stage.

The worst mistakes aren't technical but strategic. An application that doesn't answer „why this project deserves public money and another doesn't” gets low scores regardless of technical quality.

  • Weak innovation justification – „this will be the first such product in industry X”, with no evidence (research, competitor lists, market analysis).
  • Unconvincing financial projections – 300% returns after 3 years, with no calculation basis.
  • Insufficient team – team CVs don't cover required competences.
  • No concrete target group – „a solution for companies in Poland” isn't enough.
  • Unclear commercialization model – „sales through our distributors” with no specifics.
  • Inconsistency of budget with project scope description.
  • No collaboration element with research institutions (university, institute) – crucial for some programmes.
  • Unclear success metrics – instead of „30% efficiency increase”, the expert wants „order processing time reduced from 48h to 18h”.

How long does the grant process take from decision to payout?

The realistic time from deciding to seek funding to receiving the first advance is 9–14 months. That's long and requires planning the entire project well in advance. Good news: most programmes accept costs incurred after application submission (before contract signing), so you can start the project at your own risk after submitting the documents.

The most time is spent on application preparation (2–4 months of solid work), formal evaluation (1–2 months), substantive evaluation (2–3 months), appeal procedure if needed (1–2 months), contract negotiation (1–2 months). After signing the contract the first advance (usually 30–50% of the funding amount) arrives in 2–4 weeks.

  • Months 0–4: application preparation (internal team + grant advisor).
  • Month 4: application submission.
  • Months 4–9: formal and substantive evaluation.
  • Month 9: funding decision.
  • Months 9–10: negotiation and signing of the grant agreement.
  • Months 10–11: first advance payment (up to 50% of funding).
  • Months 11–36: project execution and reporting.

When is it NOT worth applying for an AI grant?

A grant sounds like an opportunity, but it isn't always. In several scenarios the cost of the process (team time, grant advisor, 9–14-month project delay, execution constraints) exceeds the value of the funding. It's worth honestly assessing whether the project really needs public support.

Don't apply when: the project is business-urgent and a 9-month delay will destroy a market opportunity, the project is smaller than PLN 300k budget (administration eats the value), the company isn't ready for 12–24 months of formal reporting, the project contains elements hard to document according to programme requirements.

  • Project below PLN 300k budget – process cost (advisor, own time, reporting) eats most of the grant.
  • Business urgency – 9–14 months of delay is unacceptable.
  • No resources for reporting – it takes ~5% of one person's time for 12–24 months.
  • Project contains many „grey areas” – costs hard to document according to requirements.
  • Doubtful innovation – if you can't justify novelty, the expert won't believe either.

Related topics in the knowledge base

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FAQ

Frequently asked questions about AI grants

Questions we receive from mid-sized B2B companies considering public co-financing for AI deployment.

Can I apply for a grant on my own, without a grant advisor?
Technically yes. Practically – applications prepared independently have around 15% success rate, while applications prepared with a grant advisor have 35–55%. An advisor usually costs 4–8% of the grant value, but their knowledge of evaluation criteria and typical rejections translates into real ROI.
What is the minimum realistic time from decision to first advance?
9 months – under an ideal scenario when the project is mature, the team is ready, and a call is currently open. Realistically plan 12–14 months. That means, if you want to start a project in 2027 with funding, work on the application should begin in summer 2026.
Can I combine several grants into one project?
Not the way most companies think. The same costs cannot be funded twice. But you can split the project into phases – e.g. R&D phase from Horizon Europe, implementation phase from PARP SMART, scaling phase from BGK Credit for Innovations. This requires good architecture planning.
What happens if I don't execute the project per the application?
Depends on the scale of deviation. Minor corrections (up to 10% of budget, schedule changes) usually go through an application modification procedure. Larger changes – scope change, technology change, not reaching indicator targets – can result in partial or full grant return. In extreme cases penalties are possible.
Does my industry (e.g. B2B services, e-commerce) qualify for AI funding?
Most industries qualify for AI funding from PARP SMART, KPO and FENG. Exclusions cover sectors like primary agricultural production, fisheries, coal energy. Regulated sectors (finance, healthcare) have special compliance requirements. For most mid-sized B2B companies (IT, professional services, trade, manufacturing) all four programmes are available.
Can I fund the purchase of a ready AI solution (e.g. Microsoft Copilot)?
Yes, but to a limited extent. Licenses of ready tools can usually be funded up to 30–40% of project budget. It's required that the core of the project is internal implementation or adaptation (integrations, model tuning, process configuration), not just the subscription to a ready tool. Pure „Copilot rollout for 100 users” probably won't pass – „Copilot deployment with dedicated AI agents for our sales process and CRM integrations” – yes.

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About the author

Kacper Włodarczyk

Założyciel ALGORCOMP

Założyciel ALGORCOMP. Specjalizuje się we wdrożeniach Microsoft 365 Copilot, Copilot Studio, Power Platform (Power Automate, Power Apps, SharePoint) oraz agentów AI dla średnich firm B2B w Polsce. Prowadzi dziesiątki projektów z zakresu strategii AI, governance Power Platform, automatyzacji obiegu dokumentów i procesów sprzedażowych. W publikacjach koncentruje się na praktycznych aspektach wdrożeń AI w organizacjach — od pierwszego POC do skalowania na całą firmę, ze szczególnym uwzględnieniem bezpieczeństwa danych, zgodności (RODO, NIS2, AI Act) i zwrotu z inwestycji.

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