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Research & Development › Corporate AI Lab

FFG Impact Innovation

FFG Impact Innovation

As of October 2026The kickoff with the research partners takes place at the end of October. A joint workshop follows in November, and the lab sessions are expected to start in January 2027.

Corporate AI Lab: How five SMEs build AI skills together

Growing together.

Growing together.

Competence is not a solo act. In the Corporate AI Lab, five companies from different industries build AI skills together: on real processes, learning from each other and scientifically supported.

Competence is not a solo act. In the Corporate AI Lab, five companies from different industries build AI skills together: on real processes, learning from each other and scientifically supported.

The gap is in smaller companies

Austria is ten percentage points above the EU average in AI use: 30 percent of companies with ten or more employees use AI. This figure is driven by large companies.

Small and medium-sized companies face the same questions as corporations, but with less time, less access to expertise and less room to experiment. At the same time, the most useful solutions rarely emerge in isolation.

This is exactly where the Corporate AI Lab comes in.

26%

of companies with 10 to 49 employees

68%

of companies with 250 or more employees

FFG Impact Innovation_Start 2026

The project in numbers

5 SMEs from different industries

5 phases from analysis to application

3 to 5 people per company, one of them from management

A clear structure to build competence

From analysis to application, in five phases

  1. Phase 1 · läuft

    Baseline assessment

    Where do the companies stand on AI? Interviews at management and department level reveal the key challenges — and where the most can be moved.

  2. Phase 2 · folgt

    Analysis and ideation

    Design thinking and root-cause analysis get to the bottom of the challenges. In exchange between the companies, ideas emerge that no single company would have had.

  3. Phase 3 · folgt

    Joint format development

    The companies help shape the lab format: content, methods and learning goals come from their real needs, not from a ready-made curriculum.

  4. Phase 4 · folgt

    Testing

    The modules run in half-day lab sessions and are refined after each round. Whatever doesn’t hold up in daily work is dropped.

  5. Phase 5 · folgt

    Prototype lab and evaluation

    The jointly developed format runs as a whole. The scientific team evaluates what worked and what didn’t.

The method

How the project works

Co-creation and design thinking

No lecturing, no ready-made slides. In workshops, practice and research sit at the same table and decide together what goes into the format.

Iterative approach

Develop, test, refine. Solutions become practical step by step, not only at the end. What doesn’t work gets changed.

Scientific evaluation

The project is scientifically evaluated, with a baseline survey before the first session and a final measurement at the end. The goal is a tested format that benefits other companies too.

Project results

What remains at the end

A tested lab format

A scientifically evaluated format that shows how SMEs build AI skills systematically. Developed with companies, not at a desk.

Proven methods and tools

Materials and approaches that were tested and refined in the sessions.

Findings on the SME landscape

Published findings on where SMEs get stuck when introducing AI — and which approaches work.

A network across industries

Five companies working together for months. The exchange doesn’t end with the last session.

First results

What the 2026 survey shows

Before the first lab starts, we asked how companies actually use AI today. AI has arrived, but mainly as a writing tool.

use AI for writing0 von 17
use AI for process automation0 von 17

The most common problem isn’t a lack of knowledge about AI, but information scattered across many systems.

Practice is ahead of policy. In most companies, AI is used without a document or clear responsibility for it.

The project team

Klaus Lindinger

Managing Director CONQUEST / strategic lead. Initiator of the lab. Has guided the AI transition at Conquest since 2022 and brings this experience directly into the project.

Mag. Martina Otruba, MBA

Project coordination. Manages and coordinates all project phases.

Dr. Katharina Musil

Change management and research. Scientific design, interviews and evaluation.

Mag. Gisa Schosswohl

Funding, legal and networks. Project management towards the FFG, financial planning and links to the Austrian Economic Chamber (WKO), clusters and associations.

Mag. Andreas Lovric

Innovation management. Facilitation of creative processes and collaboration across organizational boundaries.

Frequently asked questions

The Corporate AI Lab is funded by the Austrian Research Promotion Agency (FFG) as part of the Impact Innovation programme. www.ffg.at

Program:

FFG Impact Innovation / Application number: 65936869

Funding recipient:

CONQUEST Werbeagentur GmbH, Leonding

Project title:

Corporate AI_Lab

Project start:

2026

Learn more

Questions about the project? The team is happy to help at ai.lab@conquest.at.