In short: The main funding for digitalisation in Lower Austria in 2026 is digi4wirtschaft. Its digi Investition strand pays 20 per cent of eligible costs, capped at 25,000 euros per company, for projects that bring together data a business already holds in digital form and build it into everyday processes. Applications have been open since 1 October 2026 via the province's business funding portal, until the 2 million euro budget runs out and no later than 31 December 2026. An expert jury decides, mainly on the quality of the project (source: noe.gv.at, as of November 2026).

The key figures and the process are summarised on the digi4wirtschaft page. This piece goes further: which projects the province itself gives as examples, why applications fail according to the programme document, and how to prepare the project description. There is no federal programme for this any more, as kmudigital.at states that KMU.DIGITAL will not continue from 2027.

Which data projects does digi4wirtschaft fund?

It funds investments that help a business capture, link and analyse its data and use it for decisions. The programme document, version 1.06 (in German), sets four conditions:

  • The project builds on data that already exists in digital form. Data held only on paper does not qualify.
  • The investment is built into the company's work and value-creation processes.
  • Tools for data management and analysis are a demonstrable part of the project.
  • The project rests on a detailed concept and hangs together as a whole.

Eligible costs are software including data, licences and subscriptions for up to 36 months, hardware at a site in Lower Austria, and external services such as building interfaces. On top of that comes a flat rate of 10 per cent of the purchase and investment costs for the company's own staff. Eligible costs must be at least 5,000 euros. Arithmetically, a project reaches the maximum grant of 25,000 euros from 125,000 euros of eligible costs.

The province's close attention to existing data and process integration is in line with research. A study from New York University looked at big data investments by US firms from 2006 to 2011. They were associated with roughly 3 per cent faster productivity growth, but only for firms with significant data assets of their own and access to workers with the right skills (source: Tambe, "Big Data Investment, Skills, and Firm Value", Management Science 2014, doi.org/10.1287/mnsc.2014.1899). Work by researchers at Stanford University, MIT and the University of Pennsylvania uses US firm-level data to show that IT, reorganised work and new products reinforce one another (source: Bresnahan et al., "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence", Quarterly Journal of Economics 2002, doi.org/10.1162/003355302753399526). Both studies are based on larger companies in the US. For an SME in Lower Austria they indicate the direction; no figure can be carried over.

Which project examples does the province give for each industry?

The programme document describes ten examples. What they share: data from several sources flows into one model.

  • Production: combining ERP, manufacturing, stock and supplier data to predict bottlenecks.
  • Manufacturing: a digital twin of a critical area built from machine and order data.
  • Logistics: fleet, route and delivery data in one model that spots delays early.
  • Tourism: linking booking and channel data with school holidays and weather to plan staff, capacity and prices.
  • Trades: connecting order, material and equipment data, anticipating failures, bundling journeys.
  • Services: connecting CRM, orders, tickets and billing to spot customers at risk of leaving early.
  • Food: combining quality control images with batch data and complaints.
  • Construction: integrating site reports, schedules, materials and staff and flagging deviations automatically.
  • Energy: pooling meter data with equipment and production data to forecast load peaks.
  • Retrofit: fitting existing machines with sensors and merging their data with maintenance data.

For retail and smaller service firms, the service provider example is the obvious template. Customer data, orders and billing usually exist digitally already, often in separate programs.

Why do digi4wirtschaft applications fail?

Because of missing data use, the wrong order of steps and formalities. The programme document explicitly lists ineligible content, and the province says the list is not exhaustive:

  • CRM or ERP systems as stand-alone solutions, including extensions
  • hardware, software, licences or subscriptions without process integration, explicitly including large language models
  • purchased data that is not combined with internal data
  • industry-standard solutions and replacement investments
  • basic IT equipment such as networks, server and operating system licences, office software, firewalls or backup
  • projects consisting only of a digitalisation concept, and bundles of loosely connected individual measures
  • a website, web shop, booking platform or customer app without process integration
  • media content, social media and plant automation

Formal reasons add to this. The application must be submitted before the project starts, and nothing may be ordered or commissioned beforehand. Missing documents must be supplied within three weeks, otherwise the province shelves the application. One project per company is funded. Combining it with funding schemes outside digi4wirtschaft is not possible. Leasing and second-hand goods are not eligible.

Speed alone does not help. The province states that the decision does not depend only on when an application arrives. Applications are bundled and put to an expert jury on a rolling basis.

How do you prepare the digi4wirtschaft project description?

With the province's template, and before you ask for quotes. The project description is a precondition for the application; the template is a Word file in the download section of the programme page. It asks, in order, for:

  • the company in no more than five sentences
  • your own level of digitalisation on a scale of 1 to 5 and the tools already in use
  • starting point, goals and expected changes for the business and for customers, suppliers or partners
  • the technologies used, the data sources and the interfaces that bring them into the processes
  • the contribution to sustainability and to society

The project cost breakdown as an Excel file and the quotes must be attached. Because the grant is de minimis aid, you also declare all de minimis funding received in the last three years.

The heart of it is the questions on data sources, interfaces and integration. That is where the jury decides whether it sees a data project or a software purchase. I have carried out around 30 KMU.DIGITAL consultations since 2024. The most common mistake is simply asking for a quote too early. You start the consultation once there is a basic idea, and only then does the search for suppliers begin. For digi4wirtschaft this means: first the project description with data sources and interfaces, then the quotes for it, then the application.

Is there funding for AI projects in Lower Austria?

Yes, within digi4wirtschaft, provided the AI works with existing company data and is built into processes. The programme document names artificial intelligence explicitly as a technology for spotting developments and improving processes, and asks for attention to data ethics. A subscription to a language model as a stand-alone solution without process integration is excluded.

For preparation, the digi Assistent of the Lower Austrian Chamber of Commerce funds advice from external experts, up to 60 hours and no more than 3,300 euros, handled by the Technologie- und InnovationsPartner (TIP).

Conclusion

digi4wirtschaft funds data projects with a concept behind them. If you already hold data digitally, want to bring it together from several programs and build the analysis into daily work, you fit the programme. Preparation matters more than implementation. If you think everything through properly, plan the budget carefully and identify possible pitfalls, you save yourself frustration and costs later on.

Key figures and the process are on the digi4wirtschaft page, all federal and regional programmes in the funding overview. Which programme suits your location and project is shown by the regional funding check. How a consultation works and what it costs is covered in Digitalisation consulting for SMEs, and project examples are in the project archive, filtered to KMU.DIGITAL & GREEN.

Frequently asked questions about digi4wirtschaft

What is digi4wirtschaft?

The digitalisation programme of the Province of Lower Austria and the Lower Austrian Chamber of Commerce. It has three strands: digi Kickstart with workshops, digi Assistent with subsidised advice, and digi Investition, which funds data projects with 20 per cent of eligible costs, capped at 25,000 euros per company.

Until when can you apply for digi4wirtschaft?

Since 1 October 2026 via the province's business funding portal, until the 2 million euro budget runs out and no later than 31 December 2026.

Is an AI solution funded in Lower Austria?

Yes, if it works with existing company data and is built into processes. According to the programme document, a subscription to a language model as a stand-alone solution without process integration is not eligible.

Why does a digi4wirtschaft application fail?

On content, because of software as a stand-alone solution, standard solutions, replacement investments, basic IT equipment, pure concepts or loose individual measures. Formally, it fails if the project starts before the application or missing documents are not supplied within three weeks.

Note: all funding details come from the Province of Lower Austria's programme page (noe.gv.at) and the programme document version 1.06, retrieved on 3 November 2026. Budget and conditions may change; only the funding body's own information is binding. Nobody can promise a grant, the expert jury decides. This piece is a practitioner's assessment and does not replace funding or legal advice in an individual case.